Resource scheduling method, device and equipment for charging station

Abstract

The invention provides a resource scheduling method, device and equipment for a charging station, which can be applied to the technical field of new energy automobile and power grid interaction. The method comprises the following steps: acquiring state information of the new energy automobile at the current moment, attribute parameters of photovoltaic equipment and attribute parameters of energy storage equipment; processing state information, attribute parameters of photovoltaic equipment and attribute parameters of energy storage equipment based on a target constraint condition and an energy power flexible domain quantitative model by taking resource exchange value maximization of a charging station as a target function, and generating a power flexible domain, a photovoltaic resource flexible domain and an energy storage resource flexible domain; the power flexible domain represents a power adjustment range of charging or discharging of the new energy vehicle, the photovoltaic resource flexible domain represents a power adjustment range of energy supply of the photovoltaic device to the charging station, and the energy storage resource flexible domain represents a power adjustment range of energy supply of the energy storage device to the charging station; and generating a resource scheduling scheme of 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 interaction between new energy vehicles and power grids, and more specifically to a resource scheduling method, device and equipment for a charging station. Background Art

[0002] With the changes in automobile power sources, production and operation methods, and consumer usage patterns, the share of new energy vehicles has gradually increased. New energy vehicle users may not leave the charging station immediately after charging their new energy vehicles, resulting in overtime occupancy and reducing the utilization rate of charging piles in the charging station.

[0003] In the process of implementing the present invention, the inventors found that in the related art, the probability of timeout occupation is often reduced by increasing the timeout occupation fee, without considering the flexible resource scheduling during the timeout occupation process, resulting in resource waste during the timeout occupation 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, a resource scheduling method for a charging station is provided, comprising: obtaining status information of a new energy vehicle at a current moment, attribute parameters of a photovoltaic device, and attribute parameters of an energy storage device, wherein the status information comprises a charging status, a discharging status, and an overtime occupation status, wherein 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, the overtime occupation 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 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. source equipment; taking maximizing the resource exchange value of the charging station as the objective function, based on the target constraints and the energy power flexible domain quantification model, processing the state information, the attribute parameters of the photovoltaic equipment and the attribute parameters of the energy storage equipment, generating the power flexible domain, the photovoltaic resource flexible domain and the 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 equipment supplying energy to the charging station, and the energy storage resource flexible domain represents the power adjustment range of the energy storage equipment supplying energy to the charging station; according to the power flexible domain, the photovoltaic resource flexible domain and the energy storage resource flexible domain, a resource scheduling plan for the charging station is generated.

[0006] According to the resource scheduling method, device and equipment for charging stations provided by the present invention, based on the target constraint conditions and the energy power flexible domain quantification model, by processing the acquired state information of new energy vehicles, the attribute parameters of photovoltaic equipment and the attribute parameters of energy storage equipment, 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 generating a resource scheduling plan for the charging station, fully tapping the bidirectional adjustable potential of the charging / discharging power of new energy vehicles, improving the dispatchability of flexible resources during the overtime occupancy process, avoiding the insufficient utilization of charging piles caused by overtime occupancy, thereby improving the utilization of charging piles, enhancing the operational flexibility of the charging station, and reducing the overtime occupancy penalty consumption of the target object. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] The above contents and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:

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

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

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

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

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

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

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

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

[0016] Figure 8B A schematic diagram of supply and demand balance of charging stations considering V2G according to an embodiment of the present invention is shown.

[0017] Fig. 9 A comparison diagram of optimization results corresponding to different timeout occupancy penalty consumptions according to an embodiment of the present invention is shown.

[0018] Fig.10 A structural block diagram of a resource scheduling device for a charging station according to an embodiment of the present invention is shown.

[0019] Fig.11 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 is shown. DETAILED DESCRIPTION

[0020] Below, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present invention. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of embodiments of the present invention. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of concepts of the present invention.

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

[0022] All terms (including technical and scientific terms) used herein 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] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

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

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

[0026] In the process of implementing the present invention, a survey in the related art shows that more than half of the users are dissatisfied with the phenomenon of overtime occupation, which leads to a decrease in user satisfaction. The overtime occupation phenomenon is often addressed by increasing the overtime occupation fee to reduce the probability of overtime occupation, but simply increasing the penalty cannot solve the problem of overtime occupation. Frequent charging and discharging will accelerate the attenuation of the battery, leading to users' rejection of the vehicle-to-grid (V2G) mode, making it difficult to consider flexible resource scheduling during the overtime occupation process. Although the overtime occupation phenomenon has many disadvantages, it provides time margin for flexible resource scheduling of charging stations.

[0027] In view of this, an embodiment of the present invention provides a resource scheduling method for a charging station, including: obtaining the current state information of a new energy vehicle, the attribute parameters of a photovoltaic device, and the attribute parameters of an energy storage device, 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 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. source equipment; taking maximizing the resource exchange value of the charging station as the objective function, based on the target constraints and the energy power flexible domain quantification model, processing the state information, the attribute parameters of the photovoltaic equipment and the attribute parameters of the energy storage equipment, generating the power flexible domain, the photovoltaic resource flexible domain and the 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 equipment supplying energy to the charging station, and the energy storage resource flexible domain represents the power adjustment range of the energy storage equipment supplying energy to the charging station; according to the power flexible domain, the photovoltaic resource flexible domain and the energy storage resource flexible domain, a resource scheduling plan for the charging station is generated.

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

[0029] like Figure 1 As 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 optical fiber cables, etc.

[0030] The user 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 can 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 having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

[0032] The server 105 may be a server that provides various services, such as a background management server (only as an example) that provides support for websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process the received data such as user requests, and feed back the processing results (such as web pages, information, or data obtained or generated according to user requests) to the terminal device.

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

[0034] It should be understood that Figure 1 The number of the first terminal device, the second terminal device, the third terminal device, the network and the server in the embodiment is only for illustration. According to the implementation requirements, there may be any number of the first terminal device, the second terminal device, the third terminal device, the network and the server.

[0035] Figure 2 A flow chart of a resource scheduling method for a charging station according to an embodiment of the present invention is shown.

[0036] like Figure 2 As shown, the resource scheduling method 200 for a charging station of this embodiment includes operations S210 to S230.

[0037] In operation S210, 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 are obtained.

[0038] In operation S220, taking 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, the state information, the attribute parameters of the photovoltaic device and the attribute parameters of the energy storage device are processed to generate the power flexible domain, the photovoltaic resource flexible domain and the 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 the embodiments of the present invention, new energy vehicles can represent vehicles that use non-traditional fuels as power sources or use new drive technologies, mainly including battery electric vehicles (BEV), plug-in hybrid electric vehicles (PHEV), etc. Charging stations can represent facilities that integrate multiple charging piles to provide electric energy to new energy vehicles.

[0041] According to an embodiment of the present invention, the state information may represent the state of the new energy vehicle, and may include a charging state, a discharging state, and an overtime occupied state. The charging state may represent that the new energy vehicle is connected to a charging pile, and the charging pile provides electric energy to the new energy vehicle, the discharging state may represent that the new energy vehicle is connected to a charging pile, and the new energy vehicle provides electric energy to the charging pile, and the overtime occupied state may represent that the new energy vehicle is connected to a charging pile, and 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 state information of the new energy vehicle may change with time. For example, if the new energy vehicle is in a timeout occupied state at the current moment, the state information of the new energy vehicle may be a discharging state at the next moment. For another example, if the new energy vehicle is in a charging state at the current moment, the state information of the new energy vehicle may be a timeout occupied state at the next moment.

[0043] According to an embodiment of the present invention, a photovoltaic device may represent a device for providing photovoltaic resources to a charging station. For example, the photovoltaic device may be a solar photovoltaic device, which converts solar energy into electrical energy by installing solar photovoltaic panels at the charging station. The solar photovoltaic panels may be installed on the carport, roof or ground of the charging station. An energy storage device may represent a device for providing energy storage resources to a charging station. The energy storage device may be used in conjunction with a photovoltaic device to store excess electrical energy during the day for use at night or on rainy days. The energy storage device may be used in conjunction with a power grid to store electrical energy to the energy storage device during periods of low charging demand or periods of low electricity prices, for use during periods of high charging demand or periods of high electricity prices.

[0044] According to an embodiment of the present invention, the resource exchange value of a charging station may represent the income obtained by the charging station providing electric energy to a new energy vehicle or the new energy vehicle providing electric energy to the charging station, which may include parking income, electricity fee income, service income, etc. The target constraint condition may represent the operating constraints when the charging station provides electric energy to the new energy vehicle or the new energy vehicle provides electric energy to the charging station. The energy-power flexible domain quantification model may represent a model for quantifying the regulation range of energy and power.

[0045] According to an embodiment of the present invention, the attribute parameters of a photovoltaic device may characterize the attribute information of the photovoltaic device, for example, the fluctuation coefficient of photovoltaic output. The attribute parameters of an energy storage device may characterize 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 provision of electric energy by a charging station to a new energy vehicle can be considered as charging of the new energy vehicle. The provision of electric energy by a new energy vehicle to a charging station can be considered as discharge of the new energy vehicle, that is, the new energy vehicle charges the charging pile. The power flexibility domain can characterize the power regulation range for charging or discharging of new energy vehicles, and the photovoltaic resource flexibility domain can characterize the power regulation range for photovoltaic devices to supply energy to the charging station. The energy storage resource flexibility domain can characterize the power regulation range for energy storage devices to supply energy to the charging station. The power regulation range for energy storage devices to supply energy to the charging station may include the power regulation range for energy storage devices to charge the charging station or for energy storage devices to discharge the charging station.

[0047] According to an embodiment of the present invention, since the greater the resource exchange value of a charging station, the greater the potential for aggregating new energy vehicles to participate in the flexible supply and demand balance, the objective function is to maximize the resource exchange value of the charging station. Among them, resource exchange mainly comes from the charging resource exchange and parking resource exchange of new energy vehicles. At the same time, the operating consumption of the charging station must also be considered. The operating consumption mainly includes discharge resource exchange consumption, power grid purchase consumption, energy storage equipment charging and discharging consumption, 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).

[0048] (1)

[0049] in, represents the weight coefficient, represents the resource exchange function of the charging station, Represents the discharge resource redemption function of the target object.

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

[0051] (2)

[0052] (3)

[0053] Among them, ev represents new energy vehicles, E represents the set of new energy vehicles, and T represents the time between a new energy vehicle entering a charging station and leaving the charging station. represents the charging resource transaction parameters of a unit new energy vehicle at time t, represents the charging capacity of the new energy vehicle at time t, represents the discharge resource trading parameters of a unit new energy vehicle at time t, represents the discharge capacity of new energy vehicles at time t, Indicates parking consumption, represents the charging status of the new energy vehicle at time t, represents the power purchase resource transaction parameters of a unit of new energy vehicles at time t, represents the purchased power at time t, Represents the operation and maintenance consumption of a unit photovoltaic equipment, represents the output of the photovoltaic equipment at time t, represents the charging and discharging resource trading parameters of the energy storage device at time t, represents the charging capacity of the energy storage device at time t, represents the discharge capacity of the energy storage device at time t, Indicates the discharge resource exchange value, represents the discharge intention of new energy vehicles at time t, represents the discharge power of the new energy vehicle at time t, Indicates the penalty factor for overtime occupancy in the discharge state. Indicates the penalty consumption per unit time for overtime occupation. Indicates the timeout occupation status of the new energy vehicle at time t, Indicates the discharge consumption of new energy vehicles.

[0054] According to an embodiment of the present invention, the overtime occupancy penalty factor being less than 1 indicates a compensation measure given for the discharge of the new energy vehicle.

[0055] According to an embodiment of the present invention, the discharge loss of new energy vehicles It is related to the equivalent number of cycles of discharge depth, as shown in the following formula (4).

[0056] (4)

[0057] in, Indicates the purchase consumption of a unit battery, e.g. You can withdraw 1500 yuan / kwh, Indicates labor consumption, Indicates the battery capacity of new energy vehicles, Indicates the depth of discharge, Indicates the depth of discharge The equivalent number of cycles under Represents a constant coefficient, and the value range of i is [1,5].

[0058] According to an embodiment of the present invention, based on the target constraints and the energy power flexible domain quantification model, the state information, the attribute parameters of the photovoltaic equipment and the attribute parameters of the energy storage equipment are processed so that the function value of the objective function is maximized, and the power flexible domain, the photovoltaic resource flexible domain and the energy storage resource flexible domain can be generated.

[0059] According to an embodiment 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 solution for the charging station can be generated.

[0060] According to an embodiment of the present invention, by processing the acquired status information of new energy vehicles, the attribute parameters of photovoltaic equipment and the attribute parameters of energy storage equipment, when the function value of the objective function is maximized, a power flexibility domain, a photovoltaic resource flexibility domain and an energy storage resource flexibility domain can be generated, thereby generating a resource scheduling plan for the charging station, fully tapping the bidirectional adjustable potential of the charging / discharging power of new energy vehicles, improving the dispatchability of flexible resources during the overtime occupancy process, avoiding the insufficient utilization of charging piles caused by overtime occupancy, thereby improving the utilization rate of charging piles, enhancing the operational flexibility of charging stations, and reducing the overtime occupancy penalty consumption of target objects.

[0061] According to an embodiment of the present invention, the resource scheduling method for a charging station further includes:

[0062] Taking the charging power parameters of new energy vehicles as variables, based on the supply and demand balance relationship between new energy vehicles and charging stations, a charging state quantitative model is constructed; taking the discharge power parameters of new energy vehicles as variables, based on the supply and demand balance relationship between new energy vehicles and charging stations, a discharge state quantitative model is constructed; taking the power parameters of new energy vehicles as variables, based on the supply and demand balance relationship between new energy vehicles and charging stations, a timeout occupancy state quantitative 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 can characterize the energy-power quantization model of a new energy vehicle in a charging state, that is, the charging state quantization model can characterize the model corresponding to the charging state. The discharging state quantization model can characterize the energy-power quantization model of a new energy vehicle in a discharging state, that is, the discharging state quantization model can characterize the model corresponding to the discharging state. The overtime occupancy state quantization model can characterize the energy-power quantization model of a new energy vehicle in a 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, a charging state quantification model can be constructed based on the supply-demand balance relationship between new energy vehicles and charging stations, taking the charging power parameter of the new energy vehicle as a variable, as shown in the following formula (5).

[0065] (5)

[0066] in, represents the scheduling period, Indicates the charging efficiency, represents the discharge efficiency, represents the charging power of new energy vehicles at time t, represents the discharge power of the new energy vehicle at time t, represents the power of new energy vehicles at time t, It represents the power flexibility provided by new energy vehicles when increasing charging power at time t. It represents the power flexibility provided by new energy vehicles when reducing charging power at time t. Indicates that new energy vehicles reduce charging power The amount of electricity at the moment, Indicates that new energy vehicles increase charging power The amount of electricity at the moment, Indicates that new energy vehicles are converted from charging state to discharging state The power at the moment.

[0067] According to an embodiment of the present invention, the energy constraint and power constraint of the above-mentioned state of charge quantization model are as follows: Formula (6).

[0068] (6)

[0069] in, Indicates the minimum charging power of new energy vehicles, Indicates the maximum charging power of new energy vehicles, Indicates the minimum discharge power of new energy vehicles, Indicates the maximum discharge power of new energy vehicles, Indicates the minimum power of new energy vehicles. Indicates the maximum power of new energy vehicles. Represents the power of new energy vehicles 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 new energy vehicles and charging stations, taking the discharge power parameter of the new energy vehicle as a variable, as shown in the following formula (7).

[0071] (7)

[0072] in, It represents the power flexibility provided by new energy vehicles when increasing charging power at time t. It represents the power flexibility provided by new energy vehicles when increasing charging power at time t. Indicates that new energy vehicles reduce charging power The amount of electricity at the moment, Indicates that new energy vehicles increase charging power The amount of electricity at the moment, Indicates the transition from discharge state to charge state The power at the moment.

[0073] According to an embodiment of the present invention, the energy constraint and power constraint of the above discharge state quantization model are as follows: 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 and demand balance relationship between new energy vehicles and charging stations, taking the power parameter of the new energy vehicle as a variable, as shown in the following formula (9).

[0076] (9)

[0077] in, Indicates that the new energy vehicle is converted from the timeout occupied state to the charging state The amount of electricity at the moment, Indicates that the new energy vehicle is converted from the timeout occupied state to the discharge state The amount of electricity at the moment,

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

[0079] (10)

[0080] According to an embodiment of the present invention, by taking the charging power parameters, discharging power parameters and power parameters of new energy vehicles as variables, a charging state quantification model, a discharging state quantification model and a timeout occupancy state quantification model can be constructed, so that when supply and demand are balanced, the charging station can cope with supply and demand fluctuations and ensure the operating stability and reliability of the charging station.

[0081] According to an embodiment of the present invention, taking 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, the state information, the attribute parameters of the photovoltaic device and the attribute parameters of the energy storage device are processed to generate the power flexible domain, the photovoltaic resource flexible domain and the energy storage resource flexible domain, including: 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; 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, a power flexible domain may include an upward power flexible domain and a downward power flexible domain. The upward power flexible domain may represent a power adjustment range caused by any one of a reduction 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 a new energy vehicle. The downward power flexible domain may represent a power adjustment range caused by any one of an increase in charging power, a reduction in discharging power, a conversion from a discharging state to a charging state, or a conversion from a timeout occupied state to a charging state of a new energy vehicle.

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

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

[0085] like Figure 3As shown in the figure, the charging flexibility domain of new energy vehicles (EV charging flexibility domain for short) represents the power flexibility domain of new energy vehicles in the charging state, and the discharge flexibility domain of new energy vehicles (EV discharge flexibility domain for short) represents the power flexibility domain of new energy vehicles in the discharge state. The power flexibility domain of new energy vehicles in the charging state is , the power flexibility range of new energy vehicles in the discharge state is The energy flexibility domain of new energy vehicles can include the energy flexibility domain of new energy vehicles in the charging state or the discharging state. The energy flexibility domain can represent the energy regulation range limited by the battery capacity. The energy regulation range is When new energy vehicles are in the charging state, the EV energy accumulation curve gradually increases. When new energy vehicles are converted 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 flexible domain quantization model corresponding to the state information can be determined according to the state information, thereby obtaining a model corresponding to the state information. For example, when the state information is a charging state, the energy power flexible domain quantization model is a charging state quantization model. For another example, when the state information is a discharging state, the energy power flexible domain quantization model is a discharging state quantization model. For another example, when the state information is a timeout occupied state, the energy power flexible domain quantization model is a timeout occupied state quantization model.

[0087] For example, when the state information is the charging state, the charging state quantification model can be determined as shown in the above formula (5). For the charging state, it can include three situations: reducing the charging power, increasing the charging power, and converting from the charging state to the discharging state. For the case of reducing the charging power, the energy flexibility domain corresponding to the state information can be obtained, as shown in the following formula (11). For the case of increasing the charging power, the energy flexibility domain corresponding to the state information can be obtained, as shown in the following formula (12). For the case of converting from the charging state to the discharging state, the energy flexibility domain corresponding to the state information can be obtained, as shown in the following 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 the discharging efficiency of the new energy vehicle, and the target period represents the resource scheduling cycle of the charging station. The power flexibility domain corresponding to the state information can be calculated based on the energy flexibility domain, the attribute parameters of the new energy vehicle and the target period.

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

[0093] like Figure 4 As shown in the figure, (a) indicates that the state information is in the charging state and the charging power is reduced, (b) indicates that the state information is in the charging state and the charging power is increased, and (c) indicates that the state information is in the charging state and the state is converted 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, with reduced charging power The corresponding energy change is ; For case (b), as the charging power increases, from time t to moment, with increased charging power The corresponding energy change is ; For case (c), the state changes from charging to discharging, from time t to time, and discharge power The corresponding energy change is .

[0094] For example, when the state information is the charging state and the charging power is reduced, by dividing the above formula (11) by , the upward power flexibility domain can be obtained as shown in formula (14).

[0095] (14)

[0096] For example, when the state 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 shown in formula (15).

[0097] (15)

[0098] For example, when the state information is a charging state and the state is changed from the charging state to the discharging state, by dividing the above formula (13) by , we can get the upward power flexibility domain, as shown in formula (16). Meanwhile, the upward power flexibility domain formula (16) satisfies the power constraint, as shown in formula (17).

[0099] (16)

[0100] (17)

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

[0102] (18)

[0103] (19)

[0104] in, Indicates the upward power flexibility range provided by new energy vehicles under charging status, Indicates the downward power flexibility domain provided by new energy vehicles under charging status.

[0105] Figure 5 A schematic diagram of a power flexibility domain of a new energy vehicle in a discharging state according to an embodiment of the present invention is shown.

[0106] like Figure 5 As shown in the figure, (a) indicates that the state information is in the discharge state and the discharge power is reduced, (b) indicates that the state information is in the discharge state and the discharge power is increased, and (c) indicates that the state information is in the discharge state and the state is converted from the discharge state to the charging state. It can be seen that for case (a), as the discharge power decreases, from time t to moment, with reduced discharge power The corresponding energy change is ; For case (b), as the discharge power increases, from time t to moment, with the increase in discharge power The corresponding energy change is ; For case (c), the state changes from discharge to charge, from time t to time, and charging power The corresponding energy change is .

[0107] For example, when the state information is a discharge state, the discharge state quantification model can be determined as shown in the above formula (6). For the discharge state, it can include three situations: reducing the discharge power, increasing the discharge power, and converting from the discharge state to the charging state. For the case of reducing the discharge power, the energy flexibility domain corresponding to the state information can be obtained as shown in the following formula (20). For the case of increasing the discharge power, the energy flexibility domain 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 flexibility domain corresponding to the state information can be obtained as shown in the following formula (22).

[0108] (20)

[0109] (twenty one)

[0110] (twenty two)

[0111] For example, when the state information is a discharge state and the discharge power is reduced, by dividing the above formula (20) by , the downward power flexibility domain can be obtained as shown in formula (23).

[0112] (twenty three)

[0113] For example, when the state information is a discharge state and the discharge power is increased, by dividing the above formula (21) by , the upward power flexibility domain can be obtained as shown in formula (24).

[0114] (twenty four)

[0115] For example, when the state information is a discharge state and the state is changed from the discharge state to the charge state, by dividing the above formula (22) by , the downward power flexibility domain can be obtained as shown in formula (25).

[0116] (25)

[0117] According to an embodiment of the present invention, for the three situations of reducing discharge power, increasing discharge power, and converting from discharge state to charging state in the discharge state, the upward power flexibility domain provided by the new energy vehicle in the discharge state can be obtained as shown in the following formula (26), and the downward power flexibility domain provided by the new energy vehicle in the discharge state can be obtained as shown in the following formula (27).

[0118] (26)

[0119] (27)

[0120] in, Indicates the upward power flexibility range provided by new energy vehicles in the discharge state, It represents the downward power flexibility domain provided by new energy vehicles in the discharge state.

[0121] Figure 6 A schematic diagram of a power flexibility domain of a new energy vehicle in an overtime occupied state according to an embodiment of the present invention is shown.

[0122] like Figure 6As shown in the figure, (a) indicates that the state information is in the timeout occupied state and is converted to the charging state, and (b) indicates that the state information is in the timeout occupied state and is converted to the discharging state. It can be seen that for case (a), the timeout occupied state is converted to the charging state from time t to time, and charging power The corresponding energy change is ; For case (b), the state is changed from the timeout occupation state to the discharge state, from time t to time, and discharge power The corresponding energy change is .

[0123] For example, when the state information is a timed-out placeholder state, the discharge state quantification model can be determined as shown in the above formula (7). For the timed-out placeholder state, it can include two situations: conversion from the timed-out placeholder state to the charging state and conversion from the timed-out placeholder state to the discharging state. For the case of conversion from the timed-out placeholder state to the charging state, the energy flexibility domain corresponding to the state information can be obtained, as shown in the following formula (28). For the case of conversion from the timed-out placeholder state to the discharging state, the energy flexibility domain corresponding to the state information can be obtained, as shown in the following formula (29).

[0124] (28)

[0125] (29)

[0126] For example, when the status information is the timeout occupied state and the timeout occupied state is converted to the charging state, by dividing the above formula (28) by , the downward power flexibility domain can be obtained as shown in formula (30).

[0127] (30)

[0128] For example, when the state information is the timeout occupied state and the timeout occupied state is converted to the discharge state, by dividing the above formula (29) by , the upward power flexibility domain can be obtained as shown in formula (31).

[0129] (31)

[0130] According to an embodiment of the present invention, for the two situations of converting from the timed-in-place state to the charging state and converting from the timed-in-place state to the discharging state in the timed-in-place state, the upward power flexibility domain and the downward power flexibility domain provided by the new energy vehicle in the timed-in-place state can be expressed as the following formulas (32) and (33), respectively.

[0131] (32)

[0132] (33)

[0133] 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 occupancy state.

[0134] According to an embodiment of the present invention, through flexibility analysis and mathematical modeling of the charging state, timeout occupation state and discharge state of the new energy vehicle, the upward power flexibility domain and the downward power flexibility domain provided by the new energy vehicle can be obtained, which are respectively as follows: Formulas (34) and (35).

[0135] (34)

[0136] (35)

[0137] in, Indicates the upward power flexibility range provided by new energy vehicles, Represents the downward power flexibility domain provided by new energy vehicles.

[0138] According to an embodiment of the present invention, the photovoltaic resource flexible domain may include an upward photovoltaic resource flexible domain of the photovoltaic device and a downward photovoltaic resource flexible domain of the photovoltaic device. The energy storage resource flexible domain may include an upward energy storage resource flexible domain of the energy storage device and a downward energy storage resource flexible domain of the energy storage device.

[0139] According to an embodiment of the present invention, the photovoltaic output of the photovoltaic device is volatile and intermittent, and the regulation capacity of the photovoltaic device needs to be reasonably constrained based on the predicted value. The first output parameter may include the output value of the photovoltaic device during the energy supply period, that is, the output value of the photovoltaic device at each moment during the energy supply period. The attribute parameter of the photovoltaic device may be the fluctuation coefficient of the photovoltaic output. The photovoltaic resource flexibility domain may be calculated based on the attribute parameter of the photovoltaic device and the first output parameter, as shown in the following formula (36).

[0140] (36)

[0141] 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 a photovoltaic device.

[0142] According to an embodiment of the present invention, the second output parameter may include the output value of the energy storage device during the energy supply period, and the energy storage parameter may characterize the stored energy value of the energy storage device during the energy supply period. The energy storage resource flexibility domain may 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] 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.

[0145] According to an embodiment of the present invention, different situations under different state information can be determined according to different state information, thereby determining an energy power flexible domain quantization model corresponding to the state information, and then determining an upward power flexible domain corresponding to the state information and a downward power flexible domain corresponding to the state information, and combining the photovoltaic resource flexible domain and the energy storage resource flexible domain, 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 equipment and energy storage equipment is determined, thereby improving the dispatchability of resources.

[0146] According to an embodiment of the present invention, based on a model corresponding to the state information, an energy flexibility domain corresponding to the state information is obtained, including: based on 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; based on the energy-power state relationship, the power constraint relationship and the energy constraint relationship, an energy flexibility domain corresponding to the state information is obtained.

[0147] According to an embodiment of the present invention, the energy-power state relationship, power constraint relationship, and energy constraint relationship corresponding to the state information can be obtained according to the 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 is as shown in the above formula (5), and the power constraint relationship and energy constraint relationship corresponding to the state information are as shown in the above formula (6).

[0148] For example, when the state information is a discharge state, the energy-power state relationship corresponding to the state information is as shown in the above formula (7), and the power constraint relationship and energy constraint relationship corresponding to the state information are as shown in the above formula (8).

[0149] For example, when the state information is a timeout placeholder state, the energy power state relationship corresponding to the state information is as shown in the above formula (9), and the power constraint relationship and energy constraint relationship corresponding to the state information are as shown in 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 a 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 a 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 a timeout occupying 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, the energy-power state relationship, power constraint relationship and energy constraint relationship corresponding to the state information can be obtained, and then the energy flexibility domain corresponding to the state information can be obtained, thereby improving the accuracy of the energy flexibility domain for different situations under different state information.

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

[0153] According to an embodiment of the present invention, the upward photovoltaic resource flexible domain can represent the power upward adjustment range of the photovoltaic device energy supply, and the upward energy storage resource flexible domain can represent the power upward adjustment range of the energy storage device function. The downward photovoltaic resource flexible domain can represent the power downward adjustment range of the photovoltaic device energy supply, and the downward energy storage resource flexible domain can represent the power downward adjustment range of the energy storage device function.

[0154] According to an embodiment of the present invention, by combining the upward flexible domain and downward flexible domain of the new energy vehicle, the upward photovoltaic resource flexible domain and downward photovoltaic resource flexible domain of the photovoltaic device, and the upward energy storage resource flexible domain and downward energy storage resource flexible domain of the energy storage device, the upward target flexible domain and downward target flexible 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] in, 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 and demand balance, the sum of the upward flexibility domain and the downward flexibility domain of all flexibility resources in a unit time scale must be able to meet the upward flexibility demand and the downward flexibility demand, that is, the sum of the upward flexibility domain and the downward flexibility domain of new energy vehicles, photovoltaic equipment and energy storage equipment in the charging station must not be less than the upward flexibility demand and the downward flexibility demand, as shown in the following formula (39).

[0158] (39)

[0159] in, represents the limit of upward flexibility requirement, represents the limit of downward flexibility requirement, represents the upward target flexible domain, Indicates the downward target flexible 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 for considering the prediction deviation, as shown in the following formula (40).

[0161] (40)

[0162] in, express Net load value at the time, express Net load value at the time, express Net load value at the time, express The safety margin of the upward target flexibility domain at the moment, express The safety margin of the downward target flexibility domain at the moment.

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

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

[0165] According to an embodiment of the present invention, the target constraints include: constraints of charging stations, constraints of energy storage equipment and constraints of new energy vehicles, wherein the constraints of charging stations include power balance constraints and power purchase power constraints, and the constraints of new energy vehicles include discharge and occupancy constraints and power and power constraints.

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

[0167] (41)

[0168] in, represents the charging power of the energy storage device at time t, Represents the discharge power of the energy storage device at time t.

[0169] According to an embodiment of the present invention, the constraint condition 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] in, Indicates the maximum amount of electricity purchased. Indicates the minimum value of the purchased electricity amount.

[0172] According to an embodiment of the present invention, the constraints of the energy storage device are as follows: Formulas (43) to (45).

[0173] (43)

[0174] (44)

[0175] (45)

[0176] in, Indicates the maximum charging power of the energy storage device, Indicates the maximum discharge power of the energy storage device, and All are 0-1 variables. represents the charging state of the energy storage device at time t, represents the discharge state of the energy storage device at time t, Represents the charging efficiency of the energy storage device, represents the discharge efficiency of the energy storage device, represents the charge at time t, represents the amount of electricity at time t-1, Indicates the maximum capacity of the energy storage device. Indicates the minimum capacity of the energy storage device, Indicates the initial power of the energy storage device during the scheduling period, Indicates the final power of the energy storage device within the dispatch period.

[0177] According to an embodiment of the present invention, frequent short-time-scale charging and discharging of new energy vehicles will reduce the battery life of the new energy vehicles. Therefore, it is necessary to set constraints on the shortest discharge time and the minimum discharge time to ensure that the new energy vehicle can discharge continuously and avoid frequent charge and discharge cycles. The constraints of the new energy vehicle may include discharge and occupancy constraints, as shown in the following formulas (46) to (50).

[0178] (46)

[0179] (47)

[0180] (48)

[0181] (49)

[0182] (50)

[0183] in, Indicates the discharge time of new energy vehicles. Indicates the parking time of new energy vehicles, Indicates the shortest discharge time allowed for new energy vehicles. Indicates the shortest parking time allowed for new energy vehicles. Indicates the time period when the charging of new energy vehicles ends. Indicates the time period when the new energy vehicle leaves the charging station. It indicates the total time period occupied by new energy vehicles from entering the charging station to leaving the charging station. represents the indicator function, represents the discharge willingness threshold, represents the discharge state of the new energy vehicle at time t, represents the discharge state of the new energy vehicle at time t-1, represents 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 time can be 0, and the shortest parking time can be M. The above formulas (46) and (47) indicate that the new energy vehicle is allowed to discharge at most once during the supermarket occupancy time. The time period in which the new energy vehicle is located can be any time period in which 24 hours of a day are divided into multiple time periods.

[0185] According to an embodiment of the present invention, in order to avoid damage to the battery life of new energy vehicles caused by excessive charging and discharging, the power and power during the charging and discharging process must be constrained, and it is ensured that after charging, the power of the new energy vehicle can reach the expected target while ensuring that the remaining power after discharging can meet future travel needs. The constraints of new energy vehicles can include power and power constraints, as shown in the following formulas (51) to (55).

[0186] (51)

[0187] (52)

[0188] (53)

[0189] (54)

[0190] (55)

[0191] in, Indicates the minimum acceptable power of new energy vehicles. represents the expected power of new energy vehicles, Indicates the time period when the charging of new energy vehicles begins. Indicates the time period when the overtime occupation of new energy vehicles begins. represents the set of new energy vehicles that meet the discharge willingness threshold, It means that the power supply shortage caused by the discharge of new energy vehicles at time t is not taken into account.

[0192] According to an embodiment of the present invention, by setting target constraints, the power balance of the charging station, the power of purchased electricity, the operation of the energy storage equipment, the charging and discharging time of the new energy vehicle, the charging and discharging power, and the charging and discharging amount can be constrained, so that the charging station can operate smoothly and avoid the reduction and damage of the battery life of the new energy vehicle.

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

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

[0195] According to an embodiment of the present invention, the adjustment capability of a charging station in response to the growth of demand for new energy vehicles can be measured by calculating the difference ratio between the upward target flexibility domain of the charging station and the demand. The larger the adequacy of the upward flexibility domain, the stronger the upward flexibility of the charging station. The average upward flexibility adequacy (AUFA) is as follows: Formula (56).

[0196] (56)

[0197] According to an embodiment of the present invention, the adjustment capability of a charging station in response to a decrease in demand for new energy vehicles can be measured by calculating the difference ratio between the downward target flexibility domain of the charging station and the demand. The greater the downward flexibility adequacy, the stronger the downward flexibility of the charging station. The downward flexibility adequacy (Average downward flexibility adequacy, ADFA) is expressed as follows: Formula (57).

[0198] (57)

[0199] According to an embodiment of the present invention, the expected margin of insufficient flexibility can characterize the expected value of the difference between the flexibility domain and the demand of the charging station. The expected margin of insufficient flexibility can include the expected margin of insufficient upward flexibility, the expected margin of insufficient downward flexibility, and the compensation rate of the discharge flexibility shortage. The expected margin of insufficient upward flexibility reflects the expected value of the 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, and the expected margin of insufficient upward flexibility (Expected upward flexibility not satisfied, EUFNS) is as follows Formula (58).

[0200] (58)

[0201] in, Indicates that the charging station is not flexible enough at time t. express probability.

[0202] According to an embodiment of the present invention, the expected downward flexibility not satisfied reflects the expected value of the difference between the downward flexibility provided by the charging station flexibility resources and the actual downward flexibility demand within a certain time scale, and is the expected downward flexibility not satisfied (EDFNS), as shown in the following formula (59).

[0203] (59)

[0204] in, It means that the charging station has insufficient downstream flexibility at time t. express probability.

[0205] According to an embodiment of the present invention, the photovoltaic storage flexibility supply of a charging station can characterize the flexibility supply of photovoltaic equipment and energy storage equipment to the charging station. The discharge flexibility deficiency compensation rate can measure the compensation ratio of the upward flexibility provided by new energy vehicles in the photovoltaic storage flexibility supply deficiency of the charging station. When the discharge flexibility deficiency compensation rate is 1, it means that the discharge flexibility of new energy vehicles can fully compensate for the flexibility deficiency; when the discharge flexibility deficiency compensation rate is less than 1, it indicates that the flexibility of the charging station is still insufficient. The discharge flexibility deficiency compensation rate (EV discharge Compensation index for flexibility, EDCIF) is as follows: formula (60).

[0206] (60)

[0207] in, represents the shortfall in solar-storage flexibility supply 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 flexibility region of the new energy vehicle to the flexible region of the charging station. The discharge flexibility adequacy can measure the proportion of the discharge flexibility region of the new energy vehicle to the flexible region of the entire fast charging station under a certain discharge intention. The greater the discharge flexibility adequacy, the stronger the discharge flexibility of the new energy vehicle. The discharge flexibility adequacy (EV discharge flexibility region adequacy, EDFRA) is as follows: Formula (61).

[0209] (61)

[0210] According to an embodiment of the present invention, by utilizing flexibility margin, flexibility deficiency expected margin and discharge flexibility margin to evaluate the flexible domain scheduling scheme of the charging station, the flexible domain scheduling scheme of the charging station can be evaluated from multiple aspects, thereby improving the flexibility of the scheduling scheme evaluation.

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

[0212] Figure 7 A schematic diagram showing the influence of the flexible domain on different flexibility indicators of a charging station according to an embodiment of the present invention is shown.

[0213] like Figure 7 As shown in the figure, in the scenario of considering V2G based on flexible domain, the performance of AUFA and ADFA is better than that without considering the discharge flexible domain. Without considering V2G, the flexibility resources of the charging station are limited to photovoltaic resources and energy storage resources, and the upward flexible domain provided by these two is far from enough to meet the demand. The new energy vehicles that occupy the position overtime provide 12.23% of the flexible domain under the discharge state, which significantly improves the overall flexibility level of the charging station.

[0214] Fig. 8A A schematic diagram of supply and demand balance of a charging station without considering V2G according to an embodiment of the present invention is shown. Figure 8B A schematic diagram of supply and demand balance of charging stations considering V2G according to an embodiment of the present invention is shown.

[0215] According to an embodiment of the present invention, in the case of tight power supply, real-time supply and demand balance depends on the effective integration of flexible resources such as photovoltaic power generation and energy storage equipment, such as Fig. 8A and 8B The upward flexibility supply and downward flexibility supply in can represent the supply of flexible resources such as photovoltaic equipment and energy storage equipment, and the upward flexibility demand and downward flexibility demand can represent the demand for new energy vehicles. Fig. 8A As shown in Figure 1, if the regulation potential of V2G is not taken into account, there will be a significant lack of flexibility during peak demand periods. Related technologies usually address this challenge by optimizing the configuration and operation strategy of photovoltaic equipment and energy storage equipment, but this will increase the initial investment cost and may weaken the resource exchange value of charging stations. When considering the regulation potential of V2G, such as Figure 8B As shown, the introduction of charging and discharging flexibility of new energy vehicles can effectively alleviate the insufficient flexibility supply in some periods, fully tap the regulation potential of new energy vehicles during peak periods, and work synergistically with photovoltaic, energy storage and other resources to more accurately balance the supply and demand of flexibility and respond to demand fluctuations.

[0216] Fig. 9 A comparison diagram of optimization results corresponding to different timeout occupancy penalty consumptions according to an embodiment of the present invention is shown.

[0217] like Fig. 9 As shown in the figure, as the penalty consumption per unit time for overtime occupancy 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 higher overtime occupancy penalty consumption can indeed make the target object more actively participate in discharge, thereby enhancing the discharge flexibility of new energy vehicles and improving the discharge willingness of the target object. In addition, 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. Fig.10 The device is described in detail.

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

[0220] like Fig.10 As shown, 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] The acquisition module 1010 is used to obtain the state information of the new energy vehicle at the current moment, 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. In one embodiment, the acquisition module 1010 can be used to perform the operation S210 described above, which will not be repeated here.

[0222] The first generation module 1020 is used to maximize 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 the power flexible domain, the photovoltaic resource flexible domain and the energy storage resource flexible domain, wherein the power flexible domain represents the power adjustment range of the new energy vehicle charging or discharging, 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. In one embodiment, the first generation module 1020 can be used to perform the operation S220 described above, which will not be repeated here.

[0223] The second generation module 1030 is used 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 one embodiment, the second generation module 1030 can be used to perform the operation S230 described above, which will not be repeated here.

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

[0225] The first building module is used to build a charging state quantification model based on the supply and demand balance relationship between the new energy vehicle and the charging station, using the charging power parameter of the new energy vehicle as a variable, wherein the charging state quantification model represents a model corresponding to the charging state.

[0226] The second building module is used to build a discharge state quantification model based on the supply and demand balance relationship between the new energy vehicle and the charging station, using the discharge power parameter of the new energy vehicle as a variable, wherein the discharge state quantification model represents a model corresponding to the discharge state.

[0227] The third building block is used to build a timeout occupancy state quantification model based on the supply and demand balance relationship between new energy vehicles and charging stations, using the power parameters of new energy vehicles as variables, wherein 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 flexible domain includes an upward power flexible domain and a downward power flexible domain, and the first generation module 1020 includes: a first generation submodule, a second generation submodule and a third generation submodule.

[0229] 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 quantification model, wherein 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 a discharging state to a charging state, or a conversion from a timeout occupied state to a charging state of the new energy vehicle.

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

[0231] The third generation submodule 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, 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.

[0232] According to an embodiment of the present invention, the first generating submodule includes: a first generating unit, a second generating unit and a third generating unit.

[0233] The first generating unit is used to obtain a model corresponding to the state information according to the state information and the energy power flexible domain quantization model.

[0234] The second generating 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 generating 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 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.

[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 generating subunit is used to obtain the energy-power state relationship, the power constraint relationship and the energy constraint relationship corresponding to the state information according to the model corresponding to the state information.

[0238] The second generating subunit is used 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 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 the second generation module 1030 includes: a fourth generation submodule, a fifth generation submodule and a sixth generation submodule.

[0240] The fourth generation submodule is used to determine the 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 the power upward adjustment range of the photovoltaic equipment power supply, and the upward energy storage resource flexible domain represents the power upward adjustment range of the energy storage equipment function.

[0241] The fifth generation submodule is used to determine the 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 the power downward adjustment range of the photovoltaic equipment power supply, and the downward energy storage resource flexible domain represents the power downward adjustment range of the energy storage equipment function.

[0242] The sixth generation submodule is used to determine a resource scheduling solution for the charging station according to the upward target flexible domain and the downward target flexible domain.

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

[0244] The evaluation module is used to evaluate the flexible domain scheduling plan of the charging station according to the flexibility margin, the expected flexibility margin and the discharge flexibility margin, and obtain the evaluation result, wherein the flexibility margin represents the difference ratio between the flexible domain of the charging station and the demand, the expected flexibility margin represents the difference expected value 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.

[0245] According to an embodiment of the present invention, any multiple modules of the acquisition module 1010, the first generation module 1020, and the second generation module 1030 can be combined into one module for implementation, or any one of the modules 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 a chip, a system on a substrate, a system on a package, an application-specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware, and firmware, or in any appropriate combination of any 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 function can be executed.

[0246] Fig.11 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 is shown.

[0247] like Fig.11 As 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 part 1108 to a random access memory (RAM) 1103. The processor 1101 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 1101 may also include an onboard memory for caching purposes. The processor 1101 may 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 RAM 1103, various programs and data required for the operation of electronic device 1100 are stored. Processor 1101, ROM 1102 and RAM 1103 are connected to each other via bus 1104. Processor 1101 performs various operations of the method flow according to the embodiment of the present invention by executing the program in ROM 1102 and / or RAM 1103. It should be noted that the program can also be stored in one or more memories other than ROM 1102 and RAM 1103. Processor 1101 can also perform various operations of the method flow according to the embodiment of the present invention by executing the program 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, which 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 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 installed on the drive 1110 as needed, so that a computer program read therefrom is 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 embodiment; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment 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, for example, may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus or a device. For example, according to an embodiment of the present invention, the computer-readable storage medium may include the ROM 1102 and / or RAM 1103 described above and / or one or more memories other than ROM 1102 and RAM 1103.

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

[0253] The computer program executes the above functions defined in the system / device of the embodiment of the present invention when it is executed by the processor 1101. According to the embodiment of the present invention, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0254] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of signals on a network medium, and downloaded and installed through the communication part 1109, and / or installed from a removable medium 1111. The program code contained in the computer program may be transmitted using any appropriate 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 installed from the removable medium 1111. When the computer program is executed by the processor 1101, the above functions defined in the system of the embodiment of the present invention are performed. According to the embodiment of the present invention, the system, device, means, module, unit, etc. described above can be implemented by a computer program module.

[0256] According to an embodiment of the present invention, the program code for executing the computer program provided by the embodiment 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 process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (e.g., using an Internet service provider to connect through the Internet).

[0257] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0258] It will be appreciated by those skilled in the art that the features described in the various embodiments of the present invention may 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 may be combined and / or combined in various ways. All of these combinations and / or combinations fall within the scope of the present invention.

[0259] The embodiments of the present invention are described above. However, these embodiments are only for the purpose of illustration, and are not intended to limit the scope of the present invention. Although each embodiment is described above, it does not mean that the measures in each embodiment cannot be used in combination advantageously. Without departing from the scope of the present invention, those skilled in the art may make various substitutions and modifications, which should all 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, 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, 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; 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 2, characterized in that The power flexible domain includes an upward power flexible domain and a downward power flexible domain. The objective function is to maximize the resource exchange value of the charging station, based on the target constraint conditions and the energy power flexible domain quantization model, process the state information, the attribute parameters of the photovoltaic device and the attribute parameters of the energy storage device, and generate the power flexible domain, the photovoltaic resource flexible domain and the energy storage resource flexible domain, including: 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 are determined, wherein 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 the charging state to the discharging state, or a conversion from a timed-occupancy state to the 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 the charging state, or a conversion from the timed-occupancy state to the charging state of the new energy vehicle; The photovoltaic resource flexibility domain is calculated according to the attribute parameters of the photovoltaic device and the first output parameter, wherein the first output parameter includes the output value of the photovoltaic device during the energy supply period; The energy storage resource flexible domain is calculated based on the attribute parameters of the energy storage device, the second output parameter and the energy storage parameter, 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.

4. The method according to claim 2, 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.

5. The method according to claim 4, 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.

6. The method according to claim 3, 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.

7. 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.

8. 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.

9. 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 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.

10. 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 8.

Images