Resource Scheduling Method, Device and Equipment for Charging Stations

Abstract

The present invention provides a resource scheduling method, device, and equipment for a charging station, which can be applied to the technical field of interaction between new energy vehicles and the power grid. The method includes: obtaining the status information of new energy vehicles, the attribute parameters of photovoltaic devices, and the attribute parameters of energy storage devices at the current moment; taking the maximization of the resource exchange value of the charging station as the objective function, and based on the objective constraint conditions and the energy power flexible domain quantization model, processing the status information, the attribute parameters of photovoltaic devices, and the attribute parameters of energy storage devices to generate a power flexible domain, a photovoltaic resource flexible domain, and an energy storage resource flexible domain, where the power flexible domain represents the power adjustment range for charging or discharging new energy vehicles, the photovoltaic resource flexible domain represents the power adjustment range for the photovoltaic device to supply energy to the charging station, and the energy storage resource flexible domain represents the power adjustment range for the energy storage device to supply energy to the charging station; generating a resource scheduling plan for the charging station according to the power flexible domain, the photovoltaic resource flexible domain, and the energy storage resource flexible domain.

Description

Technical Field

[0001] The present invention relates to the technical field of the interaction between new energy vehicles and the power grid, and more particularly to a resource scheduling method, device and equipment for a charging station. Background Art

[0002] With the changes in the power source, production and operation mode, and consumption and use mode of vehicles, the ownership of new energy vehicles has gradually increased. After new energy vehicle users choose a charging station to complete the charging of new energy vehicles, they may not immediately leave the charging station, resulting in the phenomenon of overtime occupancy, which reduces the utilization rate of charging piles in the charging station.

[0003] In the process of implementing the present invention, the inventor found that in the related art, the phenomenon of overtime occupancy is often reduced by increasing the overtime occupancy fee, without considering the flexible resource scheduling during the overtime occupancy process, resulting in resource waste during the overtime occupancy process. Summary of the Invention

[0004] In view of the above problems, the present invention provides a resource scheduling method, device and equipment for a charging station.

[0005] According to a first aspect of the present invention, there is provided a resource scheduling method for a charging station, including: obtaining the state information of new energy vehicles, the attribute parameters of photovoltaic devices, and the attribute parameters of energy storage devices at the current moment, wherein the state information includes a charging state, a discharging state, and an overtime occupancy state, the charging state represents that the charging pile provides electric energy to the new energy vehicle, the discharging state represents that the new energy vehicle provides electric energy to the charging pile, the overtime occupancy state represents that the charging pile does not provide electric energy to the new energy vehicle and the new energy vehicle does not provide electric energy to the charging pile, the photovoltaic device represents a device for providing photovoltaic resources to the charging station, and the energy storage device represents a device for providing energy storage resources to the charging station; taking the maximization of the resource exchange value of the charging station as the objective function, and based on the objective constraint conditions and the energy power flexible domain quantization model, processing the state information, the attribute parameters of the photovoltaic devices, and the attribute parameters of the energy storage devices to generate a power flexible domain, a photovoltaic resource flexible domain, and an energy storage resource flexible domain, wherein the power flexible domain represents the power adjustment range for the charging or discharging of new energy vehicles, the photovoltaic resource flexible domain represents the power adjustment range for the photovoltaic device to supply energy to the charging station, and the energy storage resource flexible domain represents the power adjustment range for the energy storage device to supply energy to the charging station; generating a resource scheduling plan for the charging station according to the power flexible domain, the photovoltaic resource flexible domain, and the energy storage resource flexible domain.

[0006] The resource scheduling method, device and equipment for a charging station provided by the present invention, based on target constraint conditions and an energy power flexible domain quantization model, by processing the obtained status information of new energy vehicles, attribute parameters of photovoltaic devices and attribute parameters of energy storage devices, can generate a power flexible domain, a photovoltaic resource flexible domain and an energy storage resource flexible domain when the function value of the objective function is maximized, thereby generating a resource scheduling scheme for the charging station, fully exploiting the potential of bidirectional adjustable charging / discharging power of new energy vehicles, improving the schedulability of flexible resources during overtime occupancy, avoiding insufficient utilization of charging piles caused by overtime occupancy, thus improving the utilization rate of charging piles, enhancing the operation flexibility of the charging station, and reducing the overtime occupancy penalty consumption of the target object. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] Through the following description of the embodiments of the present invention with reference to the drawings, the above content and other objects, features and advantages of the present invention will become clearer. In the drawings:

[0008] Figure 1 The application scenario diagram of the resource scheduling method for a charging station according to an embodiment of the present invention is shown.

[0009] Figure 2 The flowchart of the resource scheduling method for a charging station according to an embodiment of the present invention is shown.

[0010] Figure 3 The schematic diagram of the charging / discharging flexible domain and the energy flexible domain of a new energy vehicle according to an embodiment of the present invention is shown.

[0011] Figure 4 The schematic diagram of the power flexible domain of a new energy vehicle in the charging state according to an embodiment of the present invention is shown.

[0012] Figure 5 The schematic diagram of the power flexible domain of a new energy vehicle in the discharging state according to an embodiment of the present invention is shown.

[0013] Figure 6 The schematic diagram of the power flexible domain of a new energy vehicle in the overtime occupancy state according to an embodiment of the present invention is shown.

[0014] Figure 7 The schematic diagram of the influence of the flexible domain on different flexibility indicators of the charging station according to an embodiment of the present invention is shown.

[0015] Figure 8A The schematic diagram of the supply-demand balance of a charging station without considering V2G according to an embodiment of the present invention is shown.

[0016] Figure 8B The schematic diagram of the supply-demand balance of a charging station considering V2G according to an embodiment of the present invention is shown.

[0017] Figure 9 Shows a comparison chart of the corresponding optimization results of different timeout placeholder penalties consumed according to an embodiment of the present invention.

[0018] Figure 10 Shows a structural block diagram of a resource scheduling device for a charging station according to an embodiment of the present invention.

[0019] Figure 11 Shows a block diagram of an electronic device suitable for implementing a resource scheduling method for a charging station according to an embodiment of the present invention. Detailed implementation manners

[0020] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are merely exemplary and are not intended to limit the scope of the present invention. In the following detailed description, for the sake of explanation, many specific details are set forth in order to provide a thorough understanding of the embodiments of the present invention. However, it is obvious that one or more embodiments can be implemented without these specific details. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessarily obscuring the concepts of the present invention.

[0021] The terms used herein are merely for describing specific embodiments and are not intended to limit the present invention. The terms "including", "comprising", etc. used herein indicate the presence of the described features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0022] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0023] In the case of using expressions such as "at least one of A, B, and C", generally, it should be interpreted according to the meaning commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include, but not be limited to, a system having only A, only B, only C, having A and B, having A and C, having B and C, and / or having A, B, and C, etc.).

[0024] In the technical solution of the present invention, the user information involved (including but not limited to user personal information, user image information, user device information, such as location information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) are all information and data authorized by the user or fully authorized by all parties. Moreover, the processing of relevant data, such as collection, storage, use, processing, transmission, provision, disclosure, and application, all comply with relevant laws, regulations, and standards, adopt necessary confidentiality measures, do not violate public order and good customs, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0025] In the scenario of making automated decisions using personal information, the methods, devices, and systems provided by the embodiments of the present invention all provide corresponding operation entrances for users to choose to agree or refuse the results of automated decisions; if the user chooses to refuse, the expert decision-making process will be entered. The expression "automated decision" here refers to the activity of automatically analyzing and evaluating an individual's behavior habits, hobbies, or economic, health, credit status, etc. through a computer program and making a decision. The expression "expert decision" here refers to the activity of making a decision by a person who specializes in a certain field, has specialized experience, knowledge, and skills, and has reached a certain professional level.

[0026] In the process of implementing the present invention, surveys in related technologies show that more than half of users are dissatisfied with the phenomenon of overtime occupancy, resulting in a decrease in user satisfaction. To address the phenomenon of overtime occupancy, the probability of overtime occupancy is often reduced by increasing the overtime occupancy fee, but simply increasing the penalty cannot solve the problem of overtime occupancy. Since frequent charging and discharging will accelerate the attenuation of the battery, users have a repulsive psychology towards the Vehicle-to-Grid (V2G) mode, making it difficult to consider flexible resource scheduling during overtime occupancy. Although there are many drawbacks to the phenomenon of overtime occupancy, it provides a time margin for the flexible resource scheduling of the charging station.

[0027] In view of this, an embodiment of the present invention provides a resource scheduling method for a charging station, including: obtaining the status information of new energy vehicles, the attribute parameters of photovoltaic devices, and the attribute parameters of energy storage devices at the current moment, where the status information includes a charging status, a discharging status, and an overtime occupancy status. The charging status indicates that the charging pile provides electric energy to the new energy vehicle, the discharging status indicates that the new energy vehicle provides electric energy to the charging pile, and the overtime occupancy status indicates that the charging pile does not provide electric energy to the new energy vehicle and the new energy vehicle does not provide electric energy to the charging pile. The photovoltaic device represents a device for providing photovoltaic resources to the charging station, and the energy storage device represents a device for providing energy storage resources to the charging station; taking the maximization of the resource exchange value of the charging station as the objective function, and based on the objective constraint conditions and the energy power flexible domain quantization model, processing the status information, the attribute parameters of the photovoltaic devices, and the attribute parameters of the energy storage devices to generate a power flexible domain, a photovoltaic resource flexible domain, and an energy storage resource flexible domain, where the power flexible domain represents the power adjustment range for the new energy vehicle to charge or discharge, the photovoltaic resource flexible domain represents the power adjustment range for the photovoltaic device to supply energy to the charging station, and the energy storage resource flexible domain represents the power adjustment range for the energy storage device to supply energy to the charging station; generating a resource scheduling plan for the charging station according to the power flexible domain, the photovoltaic resource flexible domain, and the energy storage resource flexible domain.

[0028] Figure 1 FIG. shows an application scenario diagram of a resource scheduling method for a charging station according to an embodiment of the present invention.

[0029] As Figure 1 shown, the application scenario 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 is used to provide a medium for a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, etc.

[0030] Users can use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 through the network 104 to receive or send messages, etc. Various communication client applications may be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (only for example).

[0031] The first terminal device 101, the second terminal device 102, and the third terminal device 103 may be various electronic devices with a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, and desktop computers, etc.

[0032] Server 105 may be a server that provides various services. For example, it may be a back-end management server (only for illustration) that supports websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The back-end management server can analyze and process data such as user requests received, and feedback the processing results (such as web pages, information, or data obtained or generated according to user requests) to the terminal devices.

[0033] It should be noted that the resource scheduling method for the charging station provided by the embodiments of the present invention can generally be executed by server 105. Correspondingly, the resource scheduling device for the charging station provided by the embodiments of the present invention can generally be set in server 105. The resource scheduling method for the charging station provided by the embodiments of the present invention can also be executed by a server or a server cluster different from server 105 and capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and / or server 105. Correspondingly, the resource scheduling device for the charging station provided by the embodiments of the present invention can also be set in a server or a server cluster different from server 105 and capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and / or server 105.

[0034] It should be understood that Figure 1 the numbers of the first terminal device, the second terminal device, the third terminal device, the network, and the server in

[0035] Figure 2 shows a flowchart of the resource scheduling method for the charging station according to the embodiments of the present invention.

[0036] As Figure 2 shown, the resource scheduling method 200 for the charging station in this embodiment includes operation S210 to operation S230.

[0037] In operation S210, obtain the status information of new energy vehicles, the attribute parameters of photovoltaic devices, and the attribute parameters of energy storage devices at the current moment.

[0038] In operation S220, with the maximization of the resource exchange value of the charging station as the objective function, based on the objective constraint conditions and the energy power flexible domain quantization model, process the status information, the attribute parameters of photovoltaic devices, and the attribute parameters of energy storage devices to generate a power flexible domain, a photovoltaic resource flexible domain, and an energy storage resource flexible domain.

[0039] In operation S230, a resource scheduling plan for the charging station is generated according to the power flexibility domain, the photovoltaic resource flexibility domain, and the energy storage resource flexibility domain.

[0040] According to an embodiment of the present invention, a new energy vehicle may represent a vehicle that uses a non-traditional fuel as a power source or a vehicle that uses a new driving technology, mainly including types such as battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs). A charging station may represent a facility that integrates multiple charging piles and is used to provide electric energy to new energy vehicles.

[0041] According to an embodiment of the present invention, the status information may represent the status of a new energy vehicle, which may include a charging status, a discharging status, and an overtime occupancy status. The charging status may represent that the new energy vehicle is connected to the charging pile and the charging pile provides electric energy to the new energy vehicle. The discharging status may represent that the new energy vehicle is connected to the charging pile and the new energy vehicle provides electric energy to the charging pile. The overtime occupancy status may represent that the new energy vehicle is connected to the charging pile, the charging pile does not provide electric energy to the new energy vehicle, and the new energy vehicle does not provide electric energy to the charging pile.

[0042] According to an embodiment of the present invention, the status information of the new energy vehicle may change over time. For example, when the new energy vehicle is in the overtime occupancy status at the current moment, the status information of the new energy vehicle may be the discharging status at the next moment. For another example, when the new energy vehicle is in the charging status at the current moment, the status information of the new energy vehicle may be the overtime occupancy status at the next moment.

[0043] According to an embodiment of the present invention, a photovoltaic device may represent a device that provides photovoltaic resources for the charging station. For example, the photovoltaic device may be a solar photovoltaic device. By installing solar photovoltaic panels at the charging station, solar energy is converted into electric energy. The solar photovoltaic panels may be installed on the shed, roof, or ground of the charging station. An energy storage device may represent a device that provides energy storage resources for the charging station. The energy storage device may be used in cooperation with the photovoltaic device to store the excess electric energy during the day for use at night or on rainy days. The energy storage device may be used in cooperation with the power grid to store electric energy in the energy storage device during periods of low charging demand or low electricity prices for use during periods of high charging demand or high electricity prices.

[0044] According to an embodiment of the present invention, the resource exchange value of a charging station can represent the benefits obtained from the charging station providing electrical energy to new energy vehicles or new energy vehicles providing electrical energy to the charging station, and can include parking benefits, electricity bill benefits, service benefits, etc. The target constraint conditions can represent the operating constraints when the charging station provides electrical energy to new energy vehicles or new energy vehicles provide electrical energy to the charging station. The energy and power flexible domain quantization model can represent a model for quantifying the adjustment range of energy and power.

[0045] According to an embodiment of the present invention, the attribute parameters of a photovoltaic device can represent the attribute information of the photovoltaic device. For example, the fluctuation coefficient of photovoltaic output. The attribute parameters of an energy storage device can represent the attribute information of the energy storage device. For example, the maximum / minimum energy storage capacity of the energy storage device.

[0046] According to an embodiment of the present invention, the charging station providing electrical energy to a new energy vehicle can be considered as the new energy vehicle charging. The new energy vehicle providing electrical energy to the charging station can be considered as the new energy vehicle discharging, that is, the new energy vehicle charging the charging pile. The power flexible domain can represent the power adjustment range of new energy vehicle charging or discharging, and the photovoltaic resource flexible domain can represent the power adjustment range of the photovoltaic device supplying energy to the charging station. The energy storage resource flexible domain can represent the power adjustment range of the energy storage device supplying energy to the charging station. The power adjustment range of the energy storage device supplying energy to the charging station can include the power adjustment range of the energy storage device charging the charging station or the energy storage device discharging to the charging station.

[0047] According to an embodiment of the present invention, since the larger the resource exchange value of the charging station, the more potential there is to aggregate new energy vehicles to participate in the flexibility supply and demand balance, therefore, the objective function is to maximize the resource exchange value of the charging station. Among them, the resource exchange mainly comes from the charging resource exchange and parking resource exchange of new energy vehicles, and at the same time, the operating consumption of the charging station needs to be considered. The operating consumption mainly includes the discharge resource exchange consumption, grid power purchase consumption, charge and discharge consumption of the energy storage device, and operation and maintenance consumption. Based on the linear weighted sum method, the resource exchange function of the charging station and the discharge resource exchange function of the target object are normalized to obtain the objective function as shown in formula (1) below.

[0048] (1)

[0049] Among them, represents the weight coefficient, represents the resource exchange function of the charging station, represents the discharge resource exchange function of the target object.

[0050] According to an embodiment of the present invention, the resource exchange function of the charging station is as shown in formula (2) below, and the discharge resource exchange function of the target object is as shown in formula (3) below.

[0051] (2)

[0052] (3)

[0053] Among them, ev represents a new energy vehicle, E represents the set of new energy vehicles, T represents the duration from when the new energy vehicle enters the charging station to when it leaves the charging station, represents the charging resource trading parameter of a unit new energy vehicle at time t, represents the charging power of the new energy vehicle at time t, represents the discharging resource trading parameter of a unit new energy vehicle at time t, represents the discharging power of the new energy vehicle at time t, represents the parking consumption, represents the charging state of the new energy vehicle at time t, represents the power purchase resource trading parameter of a unit new energy vehicle at time t, represents the power purchase power at time t, represents the operation and maintenance consumption of a unit photovoltaic device, represents the output of the photovoltaic device at time t, represents the charge-discharge resource trading parameter of the energy storage device at time t, represents the charging power of the energy storage device at time t, represents the discharging power of the energy storage device at time t, represents the discharging resource exchange value, represents the discharging willingness of the new energy vehicle at time t, represents the discharging power of the new energy vehicle at time t, represents the timeout occupancy penalty factor in the discharging state, represents the timeout occupancy penalty consumption per unit time, represents the timeout occupancy state of the new energy vehicle at time t, represents the discharging consumption of the new energy vehicle.

[0054] According to an embodiment of the present invention, a timeout occupancy penalty factor less than 1 represents a compensation measure given for the discharging of a new energy vehicle.

[0055] According to an embodiment of the present invention, the discharging loss of a new energy vehicle is related to the equivalent cycle number of the discharging depth, as shown in the following formula (4).

[0056] (4)

[0057] Among them, represents the purchase consumption of a unit battery. For example, It can be 1500 yuan / kwh. It represents the manual consumption. It represents the battery capacity of new energy vehicles. It represents the depth of discharge. It represents the depth of discharge The equivalent cycle times under it. It represents a constant coefficient, and the value range of i is [1, 5].

[0058] According to the embodiments of the present invention, by processing the status information, the attribute parameters of photovoltaic devices, and the attribute parameters of energy storage devices according to the target constraint conditions and the energy power flexible domain quantization model, the function value of the objective function can be maximized, and a power flexible domain, a photovoltaic resource flexible domain, and an energy storage resource flexible domain can be generated.

[0059] According to the embodiments of the present invention, when the power flexible domain, the photovoltaic resource flexible domain, and the energy storage resource flexible domain are determined, a resource scheduling scheme for the charging station can be generated.

[0060] According to the embodiments of the present invention, by processing the status information of the obtained new energy vehicles, the attribute parameters of photovoltaic devices, and the attribute parameters of energy storage devices, when the function value of the objective function is maximized, a power flexible domain, a photovoltaic resource flexible domain, and an energy storage resource flexible domain can be generated, thereby a resource scheduling scheme for the charging station can be generated, fully exploiting the potential of two-way adjustable charging / discharging power of new energy vehicles, improving the schedulability of flexible resources during the overtime occupancy process, avoiding the insufficient utilization rate of charging piles caused by overtime occupancy, thereby improving the utilization rate of charging piles, enhancing the operation flexibility of the charging station, and reducing the overtime occupancy penalty consumption of the target object.

[0061] According to the embodiments of the present invention, the above-mentioned resource scheduling method for charging stations further includes:

[0062] Taking the charging power parameter of the new energy vehicle as a variable, based on the supply-demand balance relationship between the new energy vehicle and the charging station, a charging status quantization model is constructed; taking the discharging power parameter of the new energy vehicle as a variable, based on the supply-demand balance relationship between the new energy vehicle and the charging station, a discharging status quantization model is constructed; taking the power parameter of the new energy vehicle as a variable, based on the supply-demand balance relationship between the new energy vehicle and the charging station, an overtime occupancy status quantization model is constructed.

[0063] According to an embodiment of the present invention, the energy power flexible domain quantization model may include a charging state quantization model, a discharging state quantization model, and an overtime occupancy state quantization model. The charging state quantization model may characterize the energy power quantization model of a new energy vehicle in a charging state, that is, the charging state quantization model may characterize the model corresponding to the charging state. The discharging state quantization model may characterize the energy power quantization model of a new energy vehicle in a discharging state, that is, the discharging state quantization model may characterize the model corresponding to the discharging state. The overtime occupancy state quantization model may characterize the energy power quantization model of a new energy vehicle in an overtime occupancy state, that is, the overtime occupancy state quantization model characterizes the model corresponding to the overtime occupancy state.

[0064] According to an embodiment of the present invention, taking the charging power parameter of a new energy vehicle as a variable, based on the supply-demand balance relationship between the new energy vehicle and the charging station, a charging state quantization model can be constructed as shown in the following formula (5).

[0065] (5)

[0066] Wherein, represents the scheduling period, represents the charging efficiency, represents the discharging efficiency, represents the charging power of the new energy vehicle at time t, represents the discharging power of the new energy vehicle at time t, represents the battery level of the new energy vehicle at time t, represents the power flexibility provided by the new energy vehicle when increasing the charging power at time t, represents the power flexibility provided by the new energy vehicle when reducing the charging power at time t, represents the situation where the new energy vehicle reduces the charging power and represents the battery level at time represents the situation where the new energy vehicle increases the charging power and represents the battery level at time represents the situation where the new energy vehicle switches from the charging state to the discharging state and represents the battery level at time

[0067] According to an embodiment of the present invention, the energy constraint and power constraint of the above charging state quantization model are as shown in the following formula (6).

[0068] (6)

[0069] Wherein, represents the minimum charging power of the new energy vehicle, represents the maximum charging power of the new energy vehicle, Represents the minimum discharge power of a new energy vehicle, Represents the maximum discharge power of a new energy vehicle, Represents the minimum battery level of a new energy vehicle, Represents the maximum battery level of a new energy vehicle, Represents the battery level of a new energy vehicle at time t.

[0070] According to an embodiment of the present invention, a discharge state quantification model can be constructed based on the supply - demand balance relationship between a new energy vehicle and a charging station, with the discharge power parameter of the new energy vehicle as a variable, as shown in the following formula (7).

[0071] (7)

[0072] Wherein, Represents the power flexibility provided by increasing the charging power of a new energy vehicle at time t, Represents the power flexibility provided by increasing the charging power of a new energy vehicle at time t, Represents the situation where the charging power of a new energy vehicle is reduced Battery level at time, Represents the situation where the charging power of a new energy vehicle is increased Battery level at time, Represents the battery level at time when converting from the discharge state to the charging state Battery level at time.

[0073] According to an embodiment of the present invention, the energy constraint and power constraint of the above - mentioned discharge state quantification model are as shown in the following formula (8).

[0074] (8)

[0075] According to an embodiment of the present invention, a timeout occupancy state quantification model can be constructed based on the supply - demand balance relationship between a new energy vehicle and a charging station, with the power parameter of the new energy vehicle as a variable, as shown in the following formula (9).

[0076] (9)

[0077] Wherein, Represents the battery level at time when a new energy vehicle converts from the timeout occupancy state to the charging state Battery level at time, Represents the battery level at time when a new energy vehicle converts from the timeout occupancy state to the discharge state Battery level at time,

[0078] According to an embodiment of the present invention, the energy constraint and power constraint of the above - mentioned timeout occupancy state quantification model satisfy the following formula (10).

[0079] (10)

[0080] According to an embodiment of the present invention, by taking the charging power parameter, the discharging power parameter, and the power parameter of a new energy vehicle as variables respectively, a charging state quantization model, a discharging state quantization model, and an overtime occupancy state quantization model can be constructed, so that in the case of supply-demand balance, the charging station can cope with supply-demand fluctuations and ensure the operation stability and reliability of the charging station.

[0081] According to an embodiment of the present invention, with the maximization of the resource exchange value of the charging station as the objective function, based on the objective constraint conditions and the energy power flexible domain quantization model, the state information, the attribute parameters of the photovoltaic device, and the attribute parameters of the energy storage device are processed to generate a power flexible domain, a photovoltaic resource flexible domain, and an energy storage resource flexible domain, including: determining an upward power flexible domain corresponding to the state information and a downward power flexible domain corresponding to the state information according to the state information and the energy power flexible domain quantization model; calculating the photovoltaic resource flexible domain according to the attribute parameters of the photovoltaic device and the first output parameter; calculating the energy storage resource flexible domain according to the attribute parameters of the energy storage device, the second output parameter, and the energy storage parameter.

[0082] According to an embodiment of the present invention, the power flexible domain may include an upward power flexible domain and a downward power flexible domain. The upward power flexible domain may represent the power adjustment range caused by any one of the reduction of the charging power of the new energy vehicle, the increase of the discharging power, the conversion from the charging state to the discharging state, or the conversion from the overtime occupancy state to the discharging state. The downward power flexible domain may represent the power adjustment range caused by any one of the increase of the charging power of the new energy vehicle, the reduction of the discharging power, the conversion from the discharging state to the charging state, or the conversion from the overtime occupancy state to the charging state.

[0083] According to an embodiment of the present invention, determining an upward power flexible domain corresponding to the state information and a downward power flexible domain corresponding to the state information according to the state information and the energy power flexible domain quantization model includes: obtaining a model corresponding to the state information according to the state information and the energy power flexible domain quantization model; obtaining an energy flexible domain corresponding to the state information according to the model corresponding to the state information; calculating a power flexible domain corresponding to the state information according to the energy flexible domain, the attribute parameters of the new energy vehicle, and the target time period.

[0084] Figure 3 The schematic diagram of the charging and discharging flexible domain and the energy flexible domain of the new energy vehicle according to an embodiment of the present invention is shown.

[0085] As Figure 3As shown, the charging flexibility region of a new energy vehicle (hereinafter referred to as the EV charging flexibility region) characterizes the power flexibility region of the charging state of the new energy vehicle, and the discharging flexibility region of the new energy vehicle (hereinafter referred to as the EV discharging flexibility region) characterizes the power flexibility region of the discharging state of the new energy vehicle. The power flexibility region of the new energy vehicle in the charging state is and the power flexibility region of the new energy vehicle in the discharging state is . The energy flexibility region of the new energy vehicle may include the energy flexibility region of the new energy vehicle in the charging state or the discharging state. The energy flexibility region can characterize the energy regulation range limited by the battery capacity, and the energy regulation range is . When the new energy vehicle is in the charging state, the EV energy accumulation curve gradually rises. When the new energy vehicle switches from the charging state to the discharging state, the EV energy accumulation curve gradually decreases.

[0086] According to an embodiment of the present invention, an energy-power flexibility region quantization model corresponding to the state information can be determined according to the state information, so as to obtain a model corresponding to the state information. For example, when the state information is the charging state, the energy-power flexibility region quantization model is the charging state quantization model. For another example, when the state information is the discharging state, the energy-power flexibility region quantization model is the discharging state quantization model. For another example, when the state information is the timeout occupancy state, the energy-power flexibility region quantization model is the timeout occupancy state quantization model.

[0087] For example, when the state information is the charging state, the charging state quantization model as shown in the above formula (5) can be determined. For the charging state, there are three cases: reducing the charging power, increasing the charging power, and switching from the charging state to the discharging state. For the case of reducing the charging power, the energy flexibility region corresponding to the state information can be obtained as follows in formula (11). For the case of increasing the charging power, the energy flexibility region corresponding to the state information can be obtained as follows in formula (12). For the case of switching from the charging state to the discharging state, the energy flexibility region corresponding to the state information can be obtained as follows in formula (13).

[0088] (11)

[0089] (12)

[0090] (13)

[0091] According to an embodiment of the present invention, the attribute parameters of the new energy vehicle include the charging efficiency and discharging efficiency of the new energy vehicle, and the target time period characterizes the resource scheduling cycle of the charging station. The power flexibility region corresponding to the state information can be calculated according to the energy flexibility region, the attribute parameters of the new energy vehicle, and the target time period.

[0092] Figure 4 The figure shows a schematic diagram of the power flexibility domain of a new energy vehicle in a charging state according to an embodiment of the present invention.

[0093] As Figure 4 shown, (a) represents the case where the status information is the charging state and the charging power is decreased, (b) represents the case where the status information is the charging state and the charging power is increased, and (c) represents the case where the status information is the charging state and the vehicle switches from the charging state to the discharging state. It can be seen that for case (a), as the charging power decreases, from time t to time, the energy change corresponding to the decreased charging power is ; for case (b), as the charging power increases, from time t to time, the energy change corresponding to the increased charging power is ; for case (c), when switching from the charging state to the discharging state, from time t to time, the energy change corresponding to the discharging power is .

[0094] For example, in the case where the status information is the charging state and the charging power is decreased, by dividing the above formula (11) by , the upward power flexibility domain can be obtained as the following formula (14).

[0095] (14)

[0096] For example, in the case where the status information is the charging state and the charging power is increased, by dividing the above formula (12) by , the downward power flexibility domain can be obtained as the following formula (15).

[0097] (15)

[0098] For example, in the case where the status information is the charging state and the vehicle switches from the charging state to the discharging state, by dividing the above formula (13) by , the upward power flexibility domain can be obtained as the following formula (16). At the same time, the upward power flexibility domain formula (16) satisfies the power constraint as the following formula (17).

[0099] (16)

[0100] (17)

[0101] According to the embodiments of the present invention, for the three cases of reducing the charging power, increasing the charging power, and converting from the charging state to the discharging state during the charging state, the upward power flexible region provided by the new energy vehicle in the charging state can be obtained, as shown in the following formula (18), and the downward power flexible region provided by the new energy vehicle in the charging state, as shown in the following formula (19).

[0102] (18)

[0103] (19)

[0104] Wherein, represents the upward power flexible region provided by the new energy vehicle in the charging state, represents the downward power flexible region provided by the new energy vehicle in the charging state.

[0105] Figure 5 Fig. shows a schematic diagram of the power flexible region of the new energy vehicle in the discharging state according to the embodiments of the present invention.

[0106] As Figure 5 shown, (a) represents the case where the state information is the discharging state and the discharging power is reduced, (b) represents the case where the state information is the discharging state and the discharging power is increased, and (c) represents the case where the state information is the discharging state and it is converted from the discharging state to the charging state. It can be seen that for case (a), as the discharging power decreases, from time t to moment, the energy change corresponding to the reduced discharging power is ; for case (b), as the discharging power increases, from time t to moment, the energy change corresponding to the increased discharging power is ; for case (c), when converting from the discharging state to the charging state, from time t to moment, the energy change corresponding to the charging power is .

[0107] For example, in the case where the state information is the discharging state, the discharging state quantization model can be determined as the above formula (6). For the discharging state, it can include three cases: reducing the discharging power, increasing the discharging power, and converting from the discharging state to the charging state. For the case of reducing the discharging power, the energy flexible region corresponding to the state information can be obtained, as shown in the following formula (20). For the case of increasing the discharging power, the energy flexible region corresponding to the state information can be obtained, as shown in the following formula (21). For the case of converting from the charging state to the discharging state, the energy flexible region corresponding to the state information can be obtained, as shown in the following formula (22).

[0108] (20)

[0109] (21)

[0110] (22)

[0111] For example, when the status information is the discharging state and the discharging power is decreased, by dividing the above formula (20) by , the downward power flexibility region can be obtained as the following formula (23).

[0112] (23)

[0113] For example, when the status information is the discharging state and the discharging power is increased, by dividing the above formula (21) by , the upward power flexibility region can be obtained as the following formula (24).

[0114] (24)

[0115] For example, when the status information is the discharging state and it is converted from the discharging state to the charging state, by dividing the above formula (22) by , the downward power flexibility region can be obtained as the following formula (25).

[0116] (25)

[0117] According to the embodiments of the present invention, for the three cases of decreasing the discharging power, increasing the discharging power, and converting from the discharging state to the charging state in the discharging state, the upward power flexibility region provided by the new energy vehicle in the discharging state can be obtained as the following formula (26), and the downward power flexibility region provided by the new energy vehicle in the discharging state is as the following formula (27).

[0118] (26)

[0119] (27)

[0120] Wherein, represents the upward power flexibility region provided by the new energy vehicle in the discharging state, represents the downward power flexibility region provided by the new energy vehicle in the discharging state.

[0121] Figure 6 Shows a schematic diagram of the power flexibility region of the new energy vehicle in the overtime occupancy state according to the embodiments of the present invention.

[0122] Such as Figure 6As shown, (a) represents the case where the status information is the timeout occupancy status and is converted to the charging status, and (b) represents the case where the status information is the timeout occupancy status and is converted to the discharging status. It can be seen that for case (a), from the timeout occupancy status to the charging status, from time t to moment, the energy change corresponding to the charging power is ; for case (b), from the timeout occupancy status to the discharging status, from time t to moment, the energy change corresponding to the discharging power is .

[0123] For example, in the case where the status information is the timeout occupancy status, the discharging status quantization model can be determined as the above formula (7). For the timeout occupancy status, it can include two cases: converting from the timeout occupancy status to the charging status and converting from the timeout occupancy status to the discharging status. For the case of converting from the timeout occupancy status to the charging status, the energy flexible domain corresponding to the status information can be obtained as the following formula (28). For the case of converting from the timeout occupancy status to the discharging status, the energy flexible domain corresponding to the status information can be obtained as the following formula (29).

[0124] (28)

[0125] (29)

[0126] For example, in the case where the status information is the timeout occupancy status and is converted from the timeout occupancy status to the charging status, by dividing the above formula (28) by , the downward power flexible domain can be obtained as the following formula (30).

[0127] (30)

[0128] For example, in the case where the status information is the timeout occupancy status and is converted from the timeout occupancy status to the discharging status, by dividing the above formula (29) by , the upward power flexible domain can be obtained as the following formula (31).

[0129] (31)

[0130] According to the embodiments of the present invention, for the two cases of converting from the timeout occupancy status to the charging status and converting from the timeout occupancy status to the discharging status in the timeout occupancy status, the upward power flexible domain and the downward power flexible domain provided by the new energy vehicle in the timeout occupancy status can be respectively expressed as the following formulas (32) and (33).

[0131] (32)

[0132] (33)

[0133] Among them, represents the upward power flexibility range provided by a new energy vehicle in the overtime occupancy state, represents the downward power flexibility range provided by a new energy vehicle in the overtime occupancy state.

[0134] According to the embodiments of the present invention, through the flexibility analysis and mathematical modeling of the charging state, overtime occupancy state, and discharging state of a new energy vehicle, the upward power flexibility range and the downward power flexibility range provided by the new energy vehicle can be obtained, as shown in the following formulas (34) and (35).

[0135] (34)

[0136] (35)

[0137] Among them, represents the upward power flexibility range provided by the new energy vehicle, represents the downward power flexibility range provided by the new energy vehicle.

[0138] According to the embodiments of the present invention, the photovoltaic resource flexibility range may include the upward photovoltaic resource flexibility range of photovoltaic devices and the downward photovoltaic resource flexibility range of photovoltaic devices. The energy storage resource flexibility range may include the upward energy storage resource flexibility range of energy storage devices and the downward energy storage resource flexibility range of energy storage devices.

[0139] According to the embodiments of the present invention, the photovoltaic output of photovoltaic devices has volatility and intermittency, and the regulation capacity of photovoltaic devices needs to be reasonably constrained based on predicted values. The first output parameter may include the output value of the photovoltaic device during the power supply period, that is, the output value of the photovoltaic device at each moment during the power supply period. The attribute parameter of the photovoltaic device may be the fluctuation coefficient of the photovoltaic output. The photovoltaic resource flexibility range can be calculated based on the attribute parameter and the first output parameter of the photovoltaic device, as shown in the following formula (36).

[0140] (36)

[0141] Among them, represents the fluctuation coefficient of the photovoltaic output, represents the photovoltaic device at the output value at the moment, represents the output value of the photovoltaic device at the t - 1 moment, represents the upward flexibility range of the photovoltaic device, represents the downward flexibility range of the photovoltaic device.

[0142] According to an embodiment of the present invention, the second output parameter may include the output value during the energy supply period of the energy storage device, and the energy storage parameter may characterize the stored energy value during the energy supply period of the energy storage device. The flexible domain of the energy storage resource can be calculated based on the attribute parameters of the energy storage device, the second output parameter, and the energy storage parameter, as shown in the following formula (37).

[0143] (37)

[0144] Wherein, represents the output value of the energy storage device at moment, represents the maximum charging power of the energy storage device, represents the maximum discharging power of the energy storage device, represents the maximum value of the storage capacity of the energy storage device, represents the minimum value of the storage capacity of the energy storage device, represents the stored energy value of the energy storage device at moment, represents the charging efficiency of the energy storage device, represents the discharging efficiency of the energy storage device, represents the upward power flexible domain of the energy storage device, represents the downward power flexible domain of the energy storage device.

[0145] According to an embodiment of the present invention, different situations under different state information can be determined based on different state information, so as to determine the energy-power flexible domain quantization model corresponding to the state information, and further determine the upward power flexible domain corresponding to the state information and the downward power flexible domain corresponding to the state information. By combining the flexible domain of the photovoltaic resource and the flexible domain of the energy storage resource, the upward flexible domain and the downward flexible domain of the charging station can be obtained, and the resource adjustment range of new energy vehicles, photovoltaic devices, and energy storage devices is determined, thereby improving the schedulability of the resources.

[0146] According to an embodiment of the present invention, obtaining the energy flexible domain corresponding to the state information according to the model corresponding to the state information includes: obtaining the energy-power state relationship, power constraint relationship, and energy constraint relationship corresponding to the state information according to the model corresponding to the state information; and obtaining the energy flexible domain corresponding to the state information according to the energy-power state relationship, power constraint relationship, and energy constraint relationship.

[0147] According to an embodiment of the present invention, an energy-power state relationship, a power constraint relationship, and an energy constraint relationship corresponding to the state information can be obtained according to a model corresponding to the state information. For example, when the state information is the charging state, the energy-power state relationship corresponding to the state information, such as the above formula (5), and the power constraint relationship and the energy constraint relationship corresponding to the state information, such as the above formula (6).

[0148] For example, when the state information is the discharging state, the energy-power state relationship corresponding to the state information, such as the above formula (7), and the power constraint relationship and the energy constraint relationship corresponding to the state information, such as the above formula (8).

[0149] For example, when the state information is the timeout occupancy state, the energy-power state relationship corresponding to the state information, such as the above formula (9), and the power constraint relationship and the energy constraint relationship corresponding to the state information, such as the above formula (10).

[0150] According to an embodiment of the present invention, an energy flexibility domain corresponding to the state information can be obtained according to the energy-power state relationship, the power constraint relationship, and the energy constraint relationship. For example, when the state information is the charging state, the energy flexibility domain corresponding to the state information is as shown in the above formula (11). For example, when the state information is the discharging state, the energy flexibility domain corresponding to the state information is as shown in the above formula (12). For example, when the state information is the timeout occupancy state, the energy flexibility domain corresponding to the state information is as shown in the above formula (13).

[0151] According to an embodiment of the present invention, when the state information is determined, for different situations of the state information, an energy-power state relationship, a power constraint relationship, and an energy constraint relationship corresponding to the state information can be obtained, and then an energy flexibility domain corresponding to the state information can be obtained, improving the accuracy of the energy flexibility domain in different situations under different state information.

[0152] According to an embodiment of the present invention, the photovoltaic resource flexibility domain includes an upward photovoltaic resource flexibility domain and a downward photovoltaic resource flexibility domain, and the energy storage resource flexibility domain includes an upward energy storage resource flexibility domain and a downward energy storage resource flexibility domain. According to the power flexibility domain, the photovoltaic resource flexibility domain, and the energy storage resource flexibility domain, a resource scheduling scheme for the charging station is generated, including: determining an upward target flexibility domain according to the upward power flexibility domain, the upward photovoltaic resource flexibility domain, and the upward energy storage resource flexibility domain; determining a downward target flexibility domain according to the downward power flexibility domain, the downward photovoltaic resource flexibility domain, and the downward energy storage resource flexibility domain; and determining a resource scheduling scheme for the charging station according to the upward target flexibility domain and the downward target flexibility domain.

[0153] According to an embodiment of the present invention, the upward PV resource flexibility domain can characterize the power upward regulation range of the PV device for power supply, and the upward energy storage resource flexibility domain can characterize the power upward regulation range of the energy storage device for its function. The downward PV resource flexibility domain can characterize the power downward regulation range of the PV device for power supply, and the downward energy storage resource flexibility domain can characterize the power downward regulation range of the energy storage device for its function.

[0154] According to an embodiment of the present invention, by integrating the upward flexibility domain and downward flexibility domain of the new energy vehicle described above, the upward PV resource flexibility domain and downward PV resource flexibility domain of the PV device, and the upward energy storage resource flexibility domain and downward energy storage resource flexibility domain of the energy storage device, the upward target flexibility domain and downward target flexibility domain of the charging station can be obtained from the above formulas (34) to (37), as shown in the following formula (38).

[0155] (38)

[0156] Wherein, represents the upward target flexibility domain of the charging station at time t, represents the downward target flexibility domain of the charging station at time t.

[0157] According to an embodiment of the present invention, in the supply-demand balance, to make the sum of the upward flexibility domains and downward flexibility domains of all flexibility resources on the unit time scale be able to meet the upward flexibility demand and downward flexibility demand, that is, the sum of the upward flexibility domains and downward flexibility domains of the new energy vehicle, PV device, and energy storage device in the charging station is not less than the upward flexibility demand and downward flexibility demand, as shown in the following formula (39).

[0158] (39)

[0159] Wherein, represents the limit value of the upward flexibility demand, represents the limit value of the downward flexibility demand, represents the upward target flexibility domain, represents the downward target flexibility domain.

[0160] According to an embodiment of the present invention, the flexibility demand of the charging station includes two aspects: upward flexibility demand and downward flexibility demand, which are composed of the fluctuation of the net load per unit time and the safety margin reserved considering the prediction deviation, as shown in the following formula (40).

[0161] (40)

[0162] Wherein, represents the net load value at time represents the net load value at time Represents the net load value at a moment, Represents the safety margin of the upward target flexible region at a moment, Represents the safety margin of the downward target flexible region at a moment.

[0163] According to an embodiment of the present invention, when the upward target flexible region and the downward target flexible region are determined, a resource scheduling scheme for the charging station can be determined according to the upward target flexible region and the downward target flexible region.

[0164] According to an embodiment of the present invention, the upward power flexible region, the upward photovoltaic resource flexible region, and the upward energy storage resource flexible region can be summed to obtain the upward target flexible region, and the downward power flexible region, the downward photovoltaic resource flexible region, and the downward energy storage resource flexible region can be summed to obtain the downward target flexible region. When the upward target flexible region and the downward target flexible region are determined, a resource scheduling scheme for the charging station can be determined, improving the rationality of the resource scheduling scheme, thereby achieving real-time supply-demand balance of the flexible resources of the charging station.

[0165] According to an embodiment of the present invention, the target constraint conditions include: the constraint conditions of the charging station, the constraint conditions of the energy storage device, and the constraint conditions of the new energy vehicle. Among them, the constraint conditions of the charging station include the power balance constraint condition and the purchased power constraint condition, and the constraint conditions of the new energy vehicle include the discharge and occupancy constraint condition and the power and electricity constraint condition.

[0166] According to an embodiment of the present invention, the constraint conditions of the charging station may include the power balance constraint of the charging station, as shown in the following formula (41).

[0167] (41)

[0168] Wherein, represents the charging power of the energy storage device at time t, represents the discharging power of the energy storage device at time t.

[0169] According to an embodiment of the present invention, the constraint conditions of the charging station may include the purchased power constraint condition of the charging station, as shown in the following formula (42).

[0170] (42)

[0171] Wherein, represents the maximum value of the purchased electricity, represents the minimum value of the purchased electricity.

[0172] According to an embodiment of the present invention, the constraint conditions of the energy storage device are as shown in the following formulas (43) to (45).

[0173] (43)

[0174] (44)

[0175] (45)

[0176] Among them, represents the maximum charging power of the energy storage device, represents the maximum discharging power of the energy storage device, and are both 0-1 variables, represents the charging state of the energy storage device at time t, represents the discharging state of the energy storage device at time t, represents the charging efficiency of the energy storage device, represents the discharging efficiency of the energy storage device, represents the power at time t, represents the power at time t-1, represents the maximum capacity of the energy storage device, represents the minimum capacity of the energy storage device, represents the initial power of the energy storage device within the scheduling period, represents the terminal power of the energy storage device within the scheduling period.

[0177] According to the embodiments of the present invention, frequent short-term charging and discharging of new energy vehicles will reduce the battery life of new energy vehicles. Therefore, constraints on the shortest discharging duration and the minimum discharging duration need to be set to ensure that new energy vehicles can continuously discharge and avoid frequent charging and discharging cycles. The constraint conditions of new energy vehicles can include discharging and occupancy constraint conditions, as shown in the following formulas (46) to (50).

[0178] (46)

[0179] (47)

[0180] (48)

[0181] (49)

[0182] (50)

[0183] Among them, represents the already discharged duration of the new energy vehicle, represents the parking duration of the new energy vehicle, represents the shortest allowable discharging duration of the new energy vehicle, Indicates the shortest allowable parking duration of a new energy vehicle, Indicates the time period in which the charging end time of the new energy vehicle is located, Indicates the time period in which the departure time of the new energy vehicle from the charging station is located, Indicates the total number of time periods occupied by the new energy vehicle from entering the charging station to leaving the charging station, Indicates the indicator function, Indicates the discharge willingness threshold, Indicates the discharge state of the new energy vehicle at time t, Indicates the discharge state of the new energy vehicle at time t-1, Indicates the discharge state of the new energy vehicle at the i-th moment, where .

[0184] According to an embodiment of the present invention, the shortest discharge duration can be taken as 0, and the shortest parking duration can be taken as the number M. The above formulas (46) and (47) indicate that the new energy vehicle is allowed to discharge at most once within the parking occupation duration in the supermarket. The time period in which the new energy vehicle is located can be any one of the multiple time periods obtained by dividing 24 hours of a day.

[0185] According to an embodiment of the present invention, in order to avoid the damage to the battery life of the new energy vehicle caused by overcharging and over-discharging, it is necessary to constrain the power and electricity during the charging and discharging process, and ensure that after charging, the electricity of the new energy vehicle can reach the expected target while ensuring that the remaining electricity after discharging can meet the future travel needs. The constraint conditions of the new energy vehicle can include power and electricity constraint conditions, as shown in the following formulas (51) to (55).

[0186] (51)

[0187] (52)

[0188] (53)

[0189] (54)

[0190] (55)

[0191] Wherein, Indicates the minimum acceptable electricity of the new energy vehicle, Indicates the expected electricity of the new energy vehicle, Indicates the time period in which the charging start time of the new energy vehicle is located, Indicates the time period at the start of the overtime occupancy of the new energy vehicle, Indicates the set of new energy vehicles that meet the discharge willingness threshold, Indicates the power supply deficit amount without considering the discharge of new energy vehicles at time t.

[0192] According to an embodiment of the present invention, by setting target constraint conditions, the power balance of the charging station, the purchased power, the operation of the energy storage device, the charging and discharging duration, the charging and discharging power, and the charging and discharging power of new energy vehicles can be constrained, so that the charging station can operate stably and avoid the reduction and damage of the battery life of new energy vehicles.

[0193] According to an embodiment of the present invention, the above resource scheduling method for a charging station further includes: evaluating the flexible domain scheduling scheme of the charging station according to the flexibility adequacy, the flexible deficiency expected adequacy, and the discharge flexibility adequacy to obtain an evaluation result.

[0194] According to an embodiment of the present invention, the flexibility adequacy can characterize the difference ratio between the flexible domain of the charging station and the demand. The flexibility adequacy can include the upward flexible domain adequacy and the downward flexibility adequacy. The flexible domain of the charging station can include the upward target flexible domain and the downward target flexible domain of the charging station. The upward flexible domain adequacy can characterize the difference ratio between the upward target flexible domain and the demand.

[0195] According to an embodiment of the present invention, the regulation ability of the charging station to cope with the growth of the demand for new energy vehicles can be measured by calculating the difference ratio between the upward target flexible domain of the charging station and the demand. The larger the upward flexible domain adequacy, the stronger the upward flexibility of the charging station. The upward flexible domain adequacy (Average upward flexibility adequacy, AUFA) is as shown in the following formula (56).

[0196] (56)

[0197] According to an embodiment of the present invention, the regulation ability of the charging station to cope with the decrease in the demand for new energy vehicles can be measured by calculating the difference ratio between the downward target flexible domain of the charging station and the demand. The larger the downward flexible domain adequacy, the stronger the downward flexibility of the charging station. The downward flexible domain adequacy (Average downward flexibility adequacy, ADFA) is as shown in the following formula (57).

[0198] (57)

[0199] According to an embodiment of the present invention, the expected shortage of flexibility can characterize the expected difference between the flexibility domain of the charging station and the demand. The expected shortage of flexibility can include the expected upward shortage of flexibility, the expected downward shortage of flexibility, and the discharge flexibility deficit compensation rate. The expected upward shortage of flexibility reflects the expected difference between the upward flexibility provided by the flexibility resources of the charging station and the actual upward flexibility demand within a certain time scale. The expected upward shortage of flexibility (EUFNS) is shown in the following formula (58).

[0200] (58)

[0201] Wherein, represents the shortage of upward flexibility of the charging station at time t, represents the probability of.

[0202] According to an embodiment of the present invention, the expected downward shortage of flexibility reflects the expected difference between the downward flexibility provided by the flexibility resources of the charging station and the actual downward flexibility demand within a certain time scale. The expected downward shortage of flexibility (EDFNS) is shown in the following formula (59).

[0203] (59)

[0204] Wherein, represents the shortage of downward flexibility of the charging station at time t, represents the probability of.

[0205] According to an embodiment of the present invention, the flexible supply of the charging station with photovoltaics and energy storage can characterize the flexible supply of the photovoltaic device and the energy storage device to the charging station. The discharge flexibility deficit compensation rate can measure the compensation ratio of the upward flexibility provided by new energy vehicles in the flexible supply deficit of the charging station with photovoltaics and energy storage. When the discharge flexibility deficit compensation rate is 1, it means that the discharge flexibility of new energy vehicles can fully compensate the flexibility deficit; when the discharge flexibility deficit compensation rate is less than 1, it indicates that there is still a shortage of flexibility in the charging station. The discharge flexibility deficit compensation rate (EDCIF) is shown in the following formula (60).

[0206] (60)

[0207] Wherein, Indicates the shortage of flexible power supply from photovoltaic and energy storage systems at the charging station at time t, and .

[0208] According to an embodiment of the present invention, the discharge flexibility adequacy can characterize the proportion of the discharge flexible region of new energy vehicles in the flexible region of the charging station. The discharge flexibility adequacy can measure the proportion of the discharge flexible region of new energy vehicles in the flexible region of the entire fast charging station under a certain discharge willingness. The greater the discharge flexibility adequacy, the stronger the discharge flexibility of new energy vehicles. The discharge flexibility adequacy (EV discharge flexibility region adequacy, EDFRA) is as shown in the following formula (61).

[0209] (61)

[0210] According to an embodiment of the present invention, by using the flexibility adequacy, the flexible shortage expected adequacy, and the discharge flexibility adequacy to evaluate the flexible region scheduling scheme of the charging station, the flexible region scheduling scheme of the charging station can be evaluated from multiple aspects, improving the flexibility of the scheduling scheme evaluation.

[0211] According to an embodiment of the present invention, the upward flexible region adequacy AUFA, the downward flexible region adequacy ADFA, the upward flexible shortage expected adequacy EUFNS, the downward flexible shortage expected adequacy EDFNS, the discharge flexibility deficit compensation rate EDCIF, and the discharge flexibility adequacy EDFRA can be regarded as different flexibility indicators. The scheduling effects and optimization performances of the flexible resources of the charging station under different indicators will be introduced in detail below.

[0212] Figure 7 Shows a schematic diagram of the influence of the flexible region on different flexibility indicators of the charging station according to an embodiment of the present invention.

[0213] As Figure 7 shown, in the scenario considering V2G based on the flexible region, the performances of both AUFA and ADFA are better than those in the case without considering the discharge flexible region. Without considering V2G, the flexible resources of the charging station are limited to photovoltaic resources and energy storage resources, and the upward flexible regions provided by these two are far from sufficient to meet the demand. New energy vehicles in the timeout occupancy state provide 12.23% of the flexible region in the discharge state, significantly improving the overall flexibility level of the charging station.

[0214] Figure 8A Shows a schematic diagram of the supply-demand balance of the charging station without considering V2G according to an embodiment of the present invention. Figure 8B Shows a schematic diagram of the supply-demand balance of the charging station considering V2G according to an embodiment of the present invention.

[0215] According to an embodiment of the present invention, in the case of tight power supply, real-time supply-demand balance depends on the effective integration of flexible resources such as photovoltaic power generation equipment and energy storage equipment. For example, Figure 8A and 8B the upward flexible supply and downward flexible supply therein can represent the supply of flexible resources such as photovoltaic power generation equipment and energy storage equipment, and the upward flexible demand and downward flexible demand can represent the demand of new energy vehicles. As shown in Figure 8A , if the regulation potential of V2G is not considered, there will be a significant flexible shortage during the peak demand period. In related technologies, this challenge is usually addressed by optimizing the configuration and operation strategies of photovoltaic power generation equipment and energy storage equipment, but this will increase the initial investment cost and may weaken the resource exchange value of the charging station. In the case of considering the regulation potential of V2G, as shown in Figure 8B , introducing the charging and discharging flexibility of new energy vehicles can effectively alleviate the insufficient flexible supply during some periods, fully exploit the regulation potential of new energy vehicles during the peak period, cooperate with resources such as photovoltaic power generation and energy storage, and balance the flexible supply and demand more precisely to cope with demand fluctuations.

[0216] Figure 9 Fig. shows a comparison diagram of optimization results corresponding to different overtime occupancy penalty consumptions according to an embodiment of the present invention.

[0217] As shown in Figure 9 , as the overtime occupancy penalty consumption per unit time increases, the resource scheduling scheme of the charging station can effectively respond, thereby reducing the penalty consumption of the target object and enhancing the adaptability of the charging station. Through the improvement of AUFA and EDFRA, it can be observed that a higher overtime occupancy penalty consumption can indeed make the target object more actively participate in discharging, thereby enhancing the discharging flexibility of new energy vehicles, increasing the discharging willingness of the target object, and for the resource scheduling scheme of the charging station, the overall penalty cost can be maintained at a stable level, avoiding excessive penalty expenses.

[0218] Based on the above resource scheduling method for a charging station, the present invention also provides a resource scheduling device for a charging station. The following will be described in detail with reference to Figure 10 this device.

[0219] Figure 10 Fig. shows a structural block diagram of a resource scheduling device for a charging station according to an embodiment of the present invention.

[0220] As shown in Figure 10 , the resource scheduling device 1000 for a charging station in this embodiment includes an acquisition module 1010, a first generation module 1020, and a second generation module 1030.

[0221] An acquisition module 1010 is configured to acquire the status information of a new energy vehicle, the attribute parameters of a photovoltaic device, and the attribute parameters of an energy storage device at the current moment. The status information includes a charging status, a discharging status, and an overtime occupancy status. The charging status indicates that a charging pile provides electric energy to the new energy vehicle. The discharging status indicates that the new energy vehicle provides electric energy to the charging pile. The overtime occupancy status indicates that the charging pile does not provide electric energy to the new energy vehicle and the new energy vehicle does not provide electric energy to the charging pile. The photovoltaic device represents a device for providing photovoltaic resources to a charging station. The energy storage device represents a device for providing energy storage resources to a charging station. In an embodiment, the acquisition module 1010 may be configured to perform the operation S210 described above, which will not be elaborated here.

[0222] A first generation module 1020 is configured to, with the maximization of the resource exchange value of the charging station as the objective function, process the status information, the attribute parameters of the photovoltaic device, and the attribute parameters of the energy storage device based on the objective constraint conditions and the energy power flexible domain quantization model, and generate a power flexible domain, a photovoltaic resource flexible domain, and an energy storage resource flexible domain. The power flexible domain represents the power adjustment range for charging or discharging the new energy vehicle. The photovoltaic resource flexible domain represents the power adjustment range for the photovoltaic device to supply energy to the charging station. The energy storage resource flexible domain represents the power adjustment range for the energy storage device to supply energy to the charging station. In an embodiment, the first generation module 1020 may be configured to perform the operation S220 described above, which will not be elaborated here.

[0223] A second generation module 1030 is configured to generate a resource scheduling scheme for the charging station according to the power flexible domain, the photovoltaic resource flexible domain, and the energy storage resource flexible domain. In an embodiment, the second generation module 1030 may be configured to perform the operation S230 described above, which will not be elaborated here.

[0224] According to an embodiment of the present invention, the energy power flexible domain quantization model includes a charging status quantization model, a discharging status quantization model, and an overtime occupancy status quantization model. The resource scheduling device 1000 for the charging station further includes: a first construction module, a second construction module, and a third construction module.

[0225] The first construction module is configured to, with the charging power parameter of the new energy vehicle as a variable, construct a charging status quantization model based on the supply-demand balance relationship between the new energy vehicle and the charging station, where the charging status quantization model represents a model corresponding to the charging status.

[0226] The second construction module is configured to, with the discharging power parameter of the new energy vehicle as a variable, construct a discharging status quantization model based on the supply-demand balance relationship between the new energy vehicle and the charging station, where the discharging status quantization model represents a model corresponding to the discharging status.

[0227] A third construction module is used to construct a timeout occupancy state quantification model with the power parameters of a new energy vehicle as variables based on the supply-demand balance relationship between the new energy vehicle and the charging station. The timeout occupancy state quantification model represents a model corresponding to the timeout occupancy state.

[0228] According to an embodiment of the present invention, the power flexibility domain includes an upward power flexibility domain and a downward power flexibility domain. The first generation module 1020 includes: a first generation sub-module, a second generation sub-module, and a third generation sub-module.

[0229] The first generation sub-module is used to determine the upward power flexibility domain corresponding to the state information and the downward power flexibility domain corresponding to the state information according to the state information and the energy power flexibility domain quantification model. The upward power flexibility domain represents the power adjustment range caused by any one of the reduction of the charging power of the new energy vehicle, the increase of the discharging power, the conversion from the charging state to the discharging state, or the conversion from the timeout occupancy state to the discharging state. The downward power flexibility domain represents the power adjustment range caused by any one of the increase of the charging power of the new energy vehicle, the reduction of the discharging power, the conversion from the discharging state to the charging state, or the conversion from the timeout occupancy state to the charging state.

[0230] The second generation sub-module is used to calculate the photovoltaic resource flexibility domain according to the attribute parameters of the photovoltaic device and the first output parameter. The first output parameter includes the output value of the photovoltaic device during the energy supply period.

[0231] The third generation sub-module is used to calculate the energy storage resource flexibility domain according to the attribute parameters of the energy storage device, the second output parameter, and the energy storage parameter. The second output parameter includes the output value of the energy storage device during the energy supply period, and the energy storage parameter represents the stored energy value of the energy storage device during the energy supply period.

[0232] According to an embodiment of the present invention, the first generation sub-module includes: a first generation unit, a second generation unit, and a third generation unit.

[0233] The first generation unit is used to obtain a model corresponding to the state information according to the state information and the energy power flexibility domain quantification model.

[0234] The second generation unit is used to obtain the energy flexibility domain corresponding to the state information according to the model corresponding to the state information.

[0235] The third generation unit is used to calculate the power flexibility domain corresponding to the state information according to the energy flexibility domain, the attribute parameters of the new energy vehicle, and the target period. The attribute parameters of the new energy vehicle include the charging efficiency and discharging efficiency of the new energy vehicle, and the target period represents the resource scheduling cycle of the charging station.

[0236] According to an embodiment of the present invention, the second generation unit includes: a first generation subunit and a second generation subunit.

[0237] The first generation subunit is configured to obtain an energy-power state relationship, a power constraint relationship, and an energy constraint relationship corresponding to the state information according to a model corresponding to the state information.

[0238] The second generation subunit is configured to obtain an energy flexibility domain corresponding to the state information according to the energy-power state relationship, the power constraint relationship, and the energy constraint relationship.

[0239] According to an embodiment of the present invention, the photovoltaic resource flexibility domain includes an upward photovoltaic resource flexibility domain and a downward photovoltaic resource flexibility domain, the energy storage resource flexibility domain includes an upward energy storage resource flexibility domain and a downward energy storage resource flexibility domain, and the second generation module 1030 includes: a fourth generation sub-module, a fifth generation sub-module, and a sixth generation sub-module.

[0240] The fourth generation sub-module is configured to determine an upward target flexibility domain according to the upward power flexibility domain, the upward photovoltaic resource flexibility domain, and the upward energy storage resource flexibility domain, where the upward photovoltaic resource flexibility domain represents the upward power adjustment range of the photovoltaic device for energy supply, and the upward energy storage resource flexibility domain represents the upward power adjustment range of the energy storage device for function.

[0241] The fifth generation sub-module is configured to determine a downward target flexibility domain according to the downward power flexibility domain, the downward photovoltaic resource flexibility domain, and the downward energy storage resource flexibility domain, where the downward photovoltaic resource flexibility domain represents the downward power adjustment range of the photovoltaic device for energy supply, and the downward energy storage resource flexibility domain represents the downward power adjustment range of the energy storage device for function.

[0242] The sixth generation sub-module is configured to determine a resource scheduling scheme for the charging station according to the upward target flexibility domain and the downward target flexibility domain.

[0243] According to an embodiment of the present invention, the resource scheduling device 1000 for the charging station further includes: an evaluation module.

[0244] The evaluation module is configured to evaluate the flexible domain scheduling scheme of the charging station according to the flexibility abundance, the expected abundance of flexible deficiency, and the discharge flexibility abundance, and obtain an evaluation result, where the flexibility abundance represents the difference ratio between the flexible domain of the charging station and the demand, the expected abundance of flexible deficiency represents the expected value of the difference between the flexible domain of the charging station and the demand, and the discharge flexibility abundance represents the proportion of the discharge flexible domain of the new energy vehicle in the flexible domain of the charging station.

[0245] According to an embodiment of the present invention, any of the acquisition module 1010, the first generation module 1020, and the second generation module 1030 can be combined and implemented in one module, or any one of them can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present invention, at least one of the acquisition module 1010, the first generation module 1020, and the second generation module 1030 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by any other reasonable means such as hardware or firmware for integrating or packaging circuits, or can be implemented in any one of the three implementation manners of software, hardware, and firmware, or in a suitable combination of any several of them. Alternatively, at least one of the acquisition module 1010, the first generation module 1020, and the second generation module 1030 can be at least partially implemented as a computer program module, and when the computer program module is run, the corresponding functions can be executed.

[0246] Figure 11 The block diagram of an electronic device suitable for implementing a resource scheduling method for a charging station according to an embodiment of the present invention is shown.

[0247] As Figure 11 shown, the electronic device 1100 according to an embodiment of the present invention includes a processor 1101, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1102 or a program loaded from a storage section 1108 into a random access memory (RAM) 1103. The processor 1101 can include, for example, a general microprocessor (such as a CPU), an instruction set processor, and / or a related chipset, and / or a dedicated microprocessor (such as an application specific integrated circuit (ASIC)), etc. The processor 1101 can also include on-board memory for caching purposes. The processor 1101 can include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.

[0248] In the RAM 1103, various programs and data required for the operation of the electronic device 1100 are stored. The processor 1101, the ROM 1102, and the RAM 1103 are connected to each other via a bus 1104. The processor 1101 performs various operations of the method flow according to the embodiments of the present invention by executing the programs in the ROM 1102 and / or the RAM 1103. It should be noted that the programs may also be stored in one or more memories other than the ROM 1102 and the RAM 1103. The processor 1101 may also perform various operations of the method flow according to the embodiments of the present invention by executing the programs stored in the one or more memories.

[0249] According to an embodiment of the present invention, the electronic device 1100 may further include an input / output (I / O) interface 1105, and the input / output (I / O) interface 1105 is also connected to the bus 1104. The electronic device 1100 may further include one or more of the following components connected to the input / output (I / O) interface 1105: an input portion 1106 including a keyboard, a mouse, etc.; an output portion 1107 including, for example, a cathode ray tube (CRT), a liquid crystal display (LCD), etc. and a speaker, etc.; a storage portion 1108 including a hard disk, etc.; and a communication portion 1109 including a network interface card such as a LAN card, a modem, etc. The communication portion 1109 performs communication processing via a network such as the Internet. A drive 1110 is also connected to the input / output (I / O) interface 1105 as needed. A removable medium 1111, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is mounted on the drive 1110 as needed so that a computer program read from it can be installed into the storage portion 1108 as needed.

[0250] The present invention also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or may exist separately without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the one or more programs are executed, the method according to the embodiments of the present invention is implemented.

[0251] According to an embodiment of the present invention, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example, but not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In the present invention, the computer-readable storage medium may be any tangible medium that contains or stores a program, and this program can be used by or in conjunction with an instruction execution system, apparatus, or device. For example, according to an embodiment of the present invention, the computer-readable storage medium may include the above-described ROM 1102 and / or RAM 1103 and / or one or more memories other than ROM 1102 and RAM 1103.

[0252] An embodiment of the present invention also includes a computer program product, which includes a computer program that contains program code for executing the method shown in the flowchart. When the computer program product runs in a computer system, the program code is used to enable the computer system to implement the resource scheduling method for a charging station provided by the embodiment of the present invention.

[0253] When the computer program is executed by the processor 1101, it executes the above functions defined in the system / apparatus of the embodiment of the present invention. According to an embodiment of the present invention, the above-described systems, apparatuses, modules, units, etc. can be implemented by computer program modules.

[0254] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices and magnetic storage devices. In another embodiment, the computer program may also be transmitted and distributed in the form of a signal on a network medium and be downloaded and installed through the communication part 1109, and / or be installed from the removable medium 1111. The program code included in the computer program can be transmitted by any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0255] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 1109, and / or be installed from the removable medium 1111. When the computer program is executed by the processor 1101, it executes the above functions defined in the system of the embodiment of the present invention. According to an embodiment of the present invention, the above-described systems, devices, apparatuses, modules, units, etc. can be implemented by computer program modules.

[0256] According to embodiments of the present invention, program code for executing the computer programs provided by the embodiments of the present invention can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages include, but are not limited to, such as Java, C++, Python, the "C" language, or similar programming languages. The program code can be executed entirely on the user's computing device, partially on the user's device, partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user's computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., by using an Internet service provider to connect through the Internet).

[0257] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and the above-mentioned module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram or flowchart, and the combination of blocks in the block diagram or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0258] Those skilled in the art can understand that the features described in the various embodiments of the present invention can be combined and / or combined in various ways, even if such combinations or combinations are not explicitly described in the present invention. In particular, without departing from the spirit and teachings of the present invention, the features described in the various embodiments of the present invention can be combined and / or combined in various ways. All such combinations and / or combinations fall within the scope of the present invention.

[0259] The above describes the embodiments of the present invention. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of the present invention. Although the embodiments are described separately above, this does not mean that the measures in the respective embodiments cannot be used advantageously in combination. Without departing from the scope of the present invention, those skilled in the art can make various substitutions and modifications, and all such substitutions and modifications should fall within the scope of the present invention.

Claims

1. A resource scheduling method for a charging station, characterized in that: The method comprises: Acquire the current state information of the new energy vehicle, the attribute parameters of the photovoltaic device, and the attribute parameters of the energy storage device, wherein the state information includes the charging state, the discharging state, and the timeout occupation state, the charging state indicates that the charging pile provides electric energy to the new energy vehicle, the discharging state indicates that the new energy vehicle provides electric energy to the charging pile, the timeout occupation state indicates that the charging pile does not provide electric energy to the new energy vehicle and the new energy vehicle does not provide electric energy to the charging pile, the photovoltaic device indicates the device used to provide photovoltaic resources to the charging station, and the energy storage device indicates the device used to provide energy storage resources to the charging station; Taking the maximization of the resource exchange value of the charging station as the objective function, based on the target constraint conditions and the energy power flexible domain quantification model, processing the state information, the attribute parameters of the photovoltaic device and the attribute parameters of the energy storage device, generating the power flexible domain, the photovoltaic resource flexible domain and the energy storage resource flexible domain includes: determining the upward power flexible domain corresponding to the state information and the downward power flexible domain corresponding to the state information according to the state information and the energy power flexible domain quantification model, wherein the power flexible domain includes an upward power flexible domain and a downward power flexible domain, the upward power flexible domain represents the power adjustment range caused by any one of the reduction of charging power, increase of discharging power, conversion from the charging state to the discharging state or conversion from the timeout occupied state to the discharging state of the new energy vehicle, and the downward power flexible domain represents the power adjustment range caused by any one of the increase of charging power, reduction of discharging power, conversion from the discharging state to the charging state or conversion from the timeout occupied state to the charging state of the new energy vehicle; The upward power flexibility range provided by new energy vehicles in the charging state is as follows: Formula (18), and the downward power flexibility range provided by new energy vehicles in the charging state is as follows: Formula (19): （18） （19） in, Indicates the upward power flexibility range provided by new energy vehicles under charging status, represents the charging power of new energy vehicles at time t, Indicates the minimum charging power of new energy vehicles, represents the power of new energy vehicles at time t, Indicates the minimum power of new energy vehicles. Indicates the charging efficiency, represents the scheduling period, represents the maximum discharge power of new energy vehicles at time t, represents the discharge efficiency, Indicates the downward power flexibility range provided by new energy vehicles under charging status, Indicates the maximum charging power of new energy vehicles, Indicates the maximum power of new energy vehicles; The upward power flexibility domain provided by new energy vehicles in the discharge state is as follows: formula (26), and the downward power flexibility domain provided by new energy vehicles in the discharge state is as follows: formula (27); （26） （27） in, Indicates the upward power flexibility range provided by new energy vehicles in the discharge state, represents the discharge power of the new energy vehicle at time t, represents the minimum discharge power of new energy vehicles at time t, It represents the downward power flexibility domain provided by new energy vehicles in the discharge state; The upward power flexibility domain and downward power flexibility domain provided by new energy vehicles in the overtime occupancy state can be expressed as the following formulas (32) and (33) respectively: （32） （33） in, Indicates the upward power flexibility domain provided by new energy vehicles in the overtime occupation state. Indicates the downward power flexibility domain provided by new energy vehicles in the overtime occupation state; Calculating the photovoltaic resource flexibility domain according to the attribute parameters of the photovoltaic device and the first output parameter includes: calculating the photovoltaic resource flexibility domain according to formula (36), wherein the first output parameter includes the output value of the photovoltaic device during the energy supply period; （36） in, represents the fluctuation coefficient of photovoltaic output, Indicates that photovoltaic equipment Output value at the moment, represents the output value of the photovoltaic equipment at time t-1, represents the upward flexible domain of the photovoltaic device, represents the downward flexible domain of the photovoltaic device; Calculating the energy storage resource flexibility domain according to the attribute parameters, the second output parameter and the energy storage parameter of the energy storage device includes: calculating the energy storage resource flexibility domain according to formula (37), wherein the second output parameter includes the output value of the energy storage device during the energy supply period, and the energy storage parameter represents the stored energy value of the energy storage device during the energy supply period, wherein the power flexibility domain represents the power adjustment range of the new energy vehicle charging or discharging, the photovoltaic resource flexibility domain represents the power adjustment range of the photovoltaic device supplying energy to the charging station, and the energy storage resource flexibility domain represents the power adjustment range of the energy storage device supplying energy to the charging station; （37） in, Indicates that the energy storage device is Output value at the moment, Indicates the maximum charging power of the energy storage device, Indicates the maximum discharge power of the energy storage device, Indicates the maximum storage capacity of the energy storage device. Indicates the minimum storage capacity of the energy storage device, Indicates that the energy storage device is The stored energy value at the moment, Represents the charging efficiency of the energy storage device, represents the discharge efficiency of the energy storage device, represents the upward power flexibility domain of the energy storage device, represents the downward power flexibility domain of the energy storage device; A resource scheduling plan for the charging station is generated according to the power flexible domain, the photovoltaic resource flexible domain and the energy storage resource flexible domain.

2. The method according to claim 1, characterized in that The energy power flexible domain quantization model includes a charging state quantization model, a discharging state quantization model and an overtime occupancy state quantization model, and the method further includes: Taking the charging power parameter of the new energy vehicle as a variable and based on the supply-demand balance relationship between the new energy vehicle and the charging station, a charging state quantification model is constructed, wherein the charging state quantification model represents a model corresponding to the charging state; Taking the discharge power parameter of the new energy vehicle as a variable and based on the supply-demand balance relationship between the new energy vehicle and the charging station, a discharge state quantification model is constructed, wherein the discharge state quantification model represents a model corresponding to the discharge state; Taking the power parameter of the new energy vehicle as a variable and based on the supply-demand balance relationship between the new energy vehicle and the charging station, a timeout occupancy state quantification model is constructed, wherein the timeout occupancy state quantification model represents a model corresponding to the timeout occupancy state.

3. The method according to claim 1, characterized in that The determining, according to the state information and the energy power flexible domain quantization model, an upward power flexible domain corresponding to the state information and a downward power flexible domain corresponding to the state information includes: According to the state information and the energy power flexible domain quantization model, a model corresponding to the state information is obtained; According to the model corresponding to the state information, an energy flexibility domain corresponding to the state information is obtained; A power flexibility domain corresponding to the state information is calculated based on the energy flexibility domain, the attribute parameters of the new energy vehicle and the target time period, wherein the attribute parameters of the new energy vehicle include the charging efficiency and the discharging efficiency of the new energy vehicle, and the target time period represents the resource scheduling cycle of the charging station.

4. The method according to claim 3, characterized in that The step of obtaining an energy flexibility domain corresponding to the state information according to the model corresponding to the state information comprises: According to the model corresponding to the state information, an energy-power state relationship, a power constraint relationship and an energy constraint relationship corresponding to the state information are obtained; An energy flexibility domain corresponding to the state information is obtained according to the energy-power state relationship, the power constraint relationship and the energy constraint relationship.

5. The method according to claim 1, characterized in that The photovoltaic resource flexible domain includes an upward photovoltaic resource flexible domain and a downward photovoltaic resource flexible domain, the energy storage resource flexible domain includes an upward energy storage resource flexible domain and a downward energy storage resource flexible domain, and generating a resource scheduling scheme for the charging station according to the power flexible domain, the photovoltaic resource flexible domain and the energy storage resource flexible domain includes: Determine an upward target flexible domain according to the upward power flexible domain, the upward photovoltaic resource flexible domain and the upward energy storage resource flexible domain, wherein the upward photovoltaic resource flexible domain represents an upward adjustment range of power supplied by the photovoltaic device, and the upward energy storage resource flexible domain represents an upward adjustment range of power of the energy storage device function; Determine a downward target flexible domain according to the downward power flexible domain, the downward photovoltaic resource flexible domain and the downward energy storage resource flexible domain, wherein the downward photovoltaic resource flexible domain represents a power downward adjustment range of the photovoltaic device energy supply, and the downward energy storage resource flexible domain represents a power downward adjustment range of the energy storage device function; A resource scheduling scheme of the charging station is determined according to the upward target flexible domain and the downward target flexible domain.

6. The method according to claim 1, characterized in that The target constraints include: constraints of charging stations, constraints of energy storage equipment and constraints of new energy vehicles, wherein the constraints of the charging stations include power balance constraints and power purchase constraints, and the constraints of new energy vehicles include discharge and occupancy constraints and power and electricity constraints.

7. The method according to claim 1, characterized in that The method further comprises: According to the flexibility margin, the expected flexibility deficit margin and the discharge flexibility margin, the flexible domain scheduling scheme of the charging station is evaluated to obtain an evaluation result, wherein the flexibility margin represents the difference ratio between the flexible domain of the charging station and the demand, the expected flexibility deficit margin represents the expected value of the difference between the flexible domain of the charging station and the demand, and the discharge flexibility margin represents the ratio of the discharge flexible domain of the new energy vehicle to the flexible domain of the charging station.

8. A resource scheduling device for a charging station, characterized in that: The device comprises: An acquisition module is used to acquire the state information of the new energy vehicle, the attribute parameters of the photovoltaic device and the attribute parameters of the energy storage device at the current moment, wherein the state information includes a charging state, a discharging state and an overtime occupation state, the charging state indicates that the charging pile provides electric energy to the new energy vehicle, the discharging state indicates that the new energy vehicle provides electric energy to the charging pile, the overtime occupation state indicates that the charging pile does not provide electric energy to the new energy vehicle and the new energy vehicle does not provide electric energy to the charging pile, the photovoltaic device indicates a device for providing photovoltaic resources to the charging station, and the energy storage device indicates a device for providing energy storage resources to the charging station; A first generation module is used to take maximizing the resource exchange value of the charging station as the objective function, based on the target constraint conditions and the energy power flexible domain quantification model, process the state information, the attribute parameters of the photovoltaic device and the attribute parameters of the energy storage device, and generate a power flexible domain, a photovoltaic resource flexible domain and an energy storage resource flexible domain, wherein the power flexible domain represents the power adjustment range of the charging or discharging of the new energy vehicle, the photovoltaic resource flexible domain represents the power adjustment range of the photovoltaic device supplying energy to the charging station, and the energy storage resource flexible domain represents the power adjustment range of the energy storage device supplying energy to the charging station; The first generation module includes: a first generation submodule, a second generation submodule and a third generation submodule; The first generating submodule is used to determine an upward power flexible domain corresponding to the state information and a downward power flexible domain corresponding to the state information according to the state information and the energy power flexible domain quantization model, wherein the power flexible domain includes an upward power flexible domain and a downward power flexible domain, the upward power flexible domain represents a power adjustment range caused by any one of a decrease in charging power, an increase in discharging power, a conversion from a charging state to a discharging state, or a conversion from a timeout occupied state to a discharging state of the new energy vehicle, and the downward power flexible domain represents a power adjustment range caused by any one of an increase in charging power, a decrease in discharging power, a conversion from the discharging state to a charging state, or a conversion from a timeout occupied state to a charging state of the new energy vehicle; The upward power flexibility range provided by new energy vehicles in the charging state is as follows: Formula (18), and the downward power flexibility range provided by new energy vehicles in the charging state is as follows: Formula (19): （18） （19） in, Indicates the upward power flexibility range provided by new energy vehicles under charging status, represents the charging power of new energy vehicles at time t, Indicates the minimum charging power of new energy vehicles, represents the power of new energy vehicles at time t, Indicates the minimum power of new energy vehicles. Indicates the charging efficiency, represents the scheduling period, represents the maximum discharge power of new energy vehicles at time t, represents the discharge efficiency, Indicates the downward power flexibility range provided by new energy vehicles under charging status, Indicates the maximum charging power of new energy vehicles, Indicates the maximum power of new energy vehicles; The upward power flexibility domain provided by new energy vehicles in the discharge state is as follows: formula (26), and the downward power flexibility domain provided by new energy vehicles in the discharge state is as follows: formula (27); （26） （27） in, Indicates the upward power flexibility range provided by new energy vehicles in the discharge state, represents the discharge power of the new energy vehicle at time t, represents the minimum discharge power of new energy vehicles at time t, It represents the downward power flexibility domain provided by new energy vehicles in the discharge state; The upward power flexibility domain and downward power flexibility domain provided by new energy vehicles in the overtime occupancy state can be expressed as the following formulas (32) and (33) respectively: （32） （33） in, Indicates the upward power flexibility domain provided by new energy vehicles in the overtime occupation state. Indicates the downward power flexibility domain provided by new energy vehicles in the overtime occupation state; The second generating submodule is used to calculate the photovoltaic resource flexibility domain according to the attribute parameters of the photovoltaic device and the first output parameter, including: calculating the photovoltaic resource flexibility domain according to formula (36), wherein the first output parameter includes the output value of the photovoltaic device during the energy supply period; （36） in, represents the fluctuation coefficient of photovoltaic output, Indicates that photovoltaic equipment Output value at the moment, represents the output value of the photovoltaic equipment at time t-1, represents the upward flexible domain of the photovoltaic device, represents the downward flexible domain of the photovoltaic device; The third generating submodule, for calculating the energy storage resource flexible domain according to the attribute parameters, the second output parameter and the energy storage parameter of the energy storage device, comprises: calculating the energy storage resource flexible domain according to formula (37), wherein the second output parameter comprises the output value of the energy storage device during the energy supply period, and the energy storage parameter represents the stored energy value of the energy storage device during the energy supply period; （37） in, Indicates that the energy storage device is Output value at the moment, Indicates the maximum charging power of the energy storage device, Indicates the maximum discharge power of the energy storage device, Indicates the maximum storage capacity of the energy storage device. Indicates the minimum storage capacity of the energy storage device, Indicates that the energy storage device is The stored energy value at the moment, Represents the charging efficiency of the energy storage device, represents the discharge efficiency of the energy storage device, represents the upward power flexibility domain of the energy storage device, represents the downward power flexibility domain of the energy storage device; The second generating module is used to generate a resource scheduling solution of the charging station according to the power flexible domain, the photovoltaic resource flexible domain and the energy storage resource flexible domain.

9. An electronic device, comprising: one or more processors; a memory for storing one or more computer programs, It is characterized in that the one or more processors execute the one or more computer programs to implement the steps of the method according to any one of claims 1 to 7.

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