Charging power regulation and control method and device, computer equipment, medium and product

Abstract

The invention relates to a charging power regulation and control method and device, computer equipment, a medium and a product. The method comprises the following steps: by acquiring an accumulative adjustment quantity deviation of a target schedulable resource in a predetermined historical period and an initial planned load of the target schedulable resource at a current scheduling moment, correcting the initial planned load of the target schedulable resource at the current scheduling moment based on the accumulative adjustment quantity deviation of the target schedulable resource; obtaining a target planned load of the target schedulable resource at the current scheduling moment; and determining a target regulation power of a scheduling unit in the target schedulable resource at the current scheduling moment based on the target planned load. By adopting the method, the adjustment target at the current scheduling moment can be corrected by accumulating the adjustment quantity deviation, so that the response deviation is reduced, the response precision is improved, and the overall control target of the schedulable resources can be realized by accurately controlling the charging power of each scheduling unit in the schedulable resources.

Description

Technical Field

[0001] The present application relates to the technical field of charging station control, and in particular to a charging power control method, device, computer equipment, medium and product. Background Art

[0002] With the gradual depletion of traditional fossil fuels and the increasingly serious environmental pollution problem, building a power system with a high proportion of renewable energy has become a necessary way to achieve sustainable development. However, with the continuous increase in the proportion of installed capacity of new energy, the demand for flexible regulation in the power system has increased significantly. The traditional flexible resources on the current power supply side can no longer fully meet this demand, and it is urgent to develop stronger regulation capabilities on the demand side to adapt to system requirements.

[0003] As a new type of variable load, electric vehicles have significant regulation potential. Through two-way interaction with the power grid, electric vehicles can not only achieve efficient charging, but also enhance the flexibility of the power system to a certain extent. At present, electric vehicles usually use charging stations as the overall carrier to interact with the power grid. However, in practical applications, there is still a lack of effective solutions for how to accurately control the charging power of each electric vehicle, that is, each charging pile in the charging station, to achieve the overall control target of the charging station. This technical bottleneck limits the full use of electric vehicles to adjust the flexibility of the power system. Summary of the invention

[0004] Based on this, it is necessary to provide a charging power control method, device, computer equipment, medium and product that can improve the accuracy of achieving the overall control objectives of the charging station in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for obtaining a cumulative adjustment deviation of a target dispatchable resource within a predetermined historical period and an initial planned load at a current dispatching time; the initial planned load is used to indicate a planned load of the target dispatchable resource determined according to a winning bid capacity in a demand response;

[0006] Based on the accumulated adjustment deviation of the target schedulable resource, the initial planned load of the target schedulable resource at the current scheduling moment is corrected to obtain the target planned load of the target schedulable resource at the current scheduling moment;

[0007] The target control power of the scheduling unit in the target schedulable resource at the current scheduling moment is determined based on the target planned load.

[0008] In one embodiment, the scheduling unit includes a controllable scheduling unit and an uncontrollable scheduling unit; and determining the target control power of the scheduling unit within the target schedulable resource at the current scheduling moment based on the target planned load includes:

[0009] Determine the uncontrollable charging power of the uncontrollable scheduling unit in the target schedulable resource at the current scheduling time;

[0010] Determining a controllable planned load of the target schedulable resource according to the target planned load of the target schedulable resource and the uncontrollable charging power of the uncontrollable scheduling unit;

[0011] According to the controllable planned load of the target schedulable resource, the target control power of the controllable scheduling unit in the target schedulable resource at the current scheduling moment is determined.

[0012] In one of the embodiments, determining the target control power of the controllable scheduling unit in the target schedulable resource at the current scheduling moment according to the controllable planned load of the target schedulable resource includes:

[0013] Obtaining the rated power corresponding to each of the controllable scheduling units;

[0014] Obtain the required power corresponding to each of the controllable scheduling units at the current scheduling moment;

[0015] In combination with the rated power and the required power of each controllable scheduling unit, the controllable planned load of the target schedulable resource is distributed to each controllable scheduling unit to obtain the target control power corresponding to each controllable scheduling unit.

[0016] In one embodiment, allocating the controllable planned load of the target schedulable resource to each of the controllable scheduling units to obtain the target control power corresponding to each of the controllable scheduling units includes:

[0017] Allocating the controllable planned load of the target schedulable resource to each of the controllable scheduling units to obtain initial control power corresponding to each of the controllable scheduling units;

[0018] Obtaining the lower power limits corresponding to each of the controllable scheduling units;

[0019] The target control power corresponding to each of the controllable scheduling units is determined by combining the lower limit power, the rated power, the required power and the initial control power.

[0020] In one embodiment, the step of correcting the initial planned load of the target schedulable resource at the current scheduling time based on the accumulated adjustment amount deviation of the target schedulable resource to obtain the target planned load of the target schedulable resource at the current scheduling time includes:

[0021] Based on the accumulated adjustment deviation of the target schedulable resource, determining the accumulated adjustment deviation load of the target schedulable resource at the current scheduling moment; the accumulated adjustment deviation load is used to characterize the average power of the accumulated adjustment deviation converted to the scheduling control step;

[0022] The target planned load is obtained by combining the cumulative adjustment deviation load and the initial planned load.

[0023] In one embodiment, obtaining the cumulative adjustment deviation of the target schedulable resource within a predetermined historical period includes:

[0024] Obtaining a planned adjustment amount and an actual adjustment amount of the target schedulable resource within the predetermined historical period;

[0025] The planned adjustment amount is subtracted from the actual adjustment amount to obtain the cumulative adjustment amount deviation.

[0026] In a second aspect, the present application also provides a charging power control device. The device includes:

[0027] An acquisition module, used to acquire the cumulative adjustment deviation of the target dispatchable resource in a predetermined historical period and the initial planned load at the current dispatching moment; the initial planned load is used to indicate the planned load of the target dispatchable resource determined according to the bid-winning capacity in the demand response;

[0028] A correction module, configured to correct an initial planned load of the target schedulable resource at the current scheduling moment based on the accumulated adjustment amount deviation of the target schedulable resource, so as to obtain a target planned load of the target schedulable resource at the current scheduling moment;

[0029] A control module is used to determine the target control power of the scheduling unit in the target schedulable resource at the current scheduling moment based on the target planned load.

[0030] In a third aspect, the present application further provides a computer device. The computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0031] Obtaining the cumulative adjustment deviation of the target dispatchable resource within a predetermined historical period and the initial planned load at the current dispatching moment; the initial planned load is used to indicate the planned load of the target dispatchable resource determined according to the bid-winning capacity in the demand response;

[0032] Based on the accumulated adjustment deviation of the target schedulable resource, the initial planned load of the target schedulable resource at the current scheduling moment is corrected to obtain the target planned load of the target schedulable resource at the current scheduling moment;

[0033] The target control power of the scheduling unit in the target schedulable resource at the current scheduling moment is determined based on the target planned load.

[0034] In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0035] Obtaining the cumulative adjustment deviation of the target dispatchable resource within a predetermined historical period and the initial planned load at the current dispatching moment; the initial planned load is used to indicate the planned load of the target dispatchable resource determined according to the bid-winning capacity in the demand response;

[0036] Based on the accumulated adjustment deviation of the target schedulable resource, the initial planned load of the target schedulable resource at the current scheduling moment is corrected to obtain the target planned load of the target schedulable resource at the current scheduling moment;

[0037] The target control power of the scheduling unit in the target schedulable resource at the current scheduling moment is determined based on the target planned load.

[0038] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0039] Obtaining the cumulative adjustment deviation of the target dispatchable resource within a predetermined historical period and the initial planned load at the current dispatching moment; the initial planned load is used to indicate the planned load of the target dispatchable resource determined according to the bid-winning capacity in the demand response;

[0040] Based on the accumulated adjustment deviation of the target schedulable resource, the initial planned load of the target schedulable resource at the current scheduling moment is corrected to obtain the target planned load of the target schedulable resource at the current scheduling moment;

[0041] The target control power of the scheduling unit in the target schedulable resource at the current scheduling moment is determined based on the target planned load.

[0042] The above-mentioned charging power control method, device, computer equipment, medium and product obtain the cumulative adjustment deviation of the target dispatchable resource in a predetermined historical period and the initial planned load at the current scheduling moment; the initial planned load is used to indicate the planned load of the target dispatchable resource determined according to the winning capacity in the demand response; based on the cumulative adjustment deviation of the target dispatchable resource, the initial planned load of the target dispatchable resource at the current scheduling moment is corrected to obtain the target planned load of the target dispatchable resource at the current scheduling moment; based on the target planned load, the target control power of the dispatch unit in the target dispatchable resource at the current scheduling moment is determined. The present application simultaneously considers the adjustment target of the target dispatchable resource at the current scheduling moment and the cumulative adjustment deviation of the predetermined historical period (such as up to the current scheduling moment), and corrects the adjustment target at the current scheduling moment by the cumulative adjustment deviation, thereby reducing the response deviation and improving the response accuracy, and can achieve the overall control target of the dispatchable resource by accurately controlling the charging power of each dispatch unit in the dispatchable resource. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 An application environment diagram of a charging power control method in an embodiment;

[0044] Figure 2 It is a schematic diagram of a flow chart of a charging power control method in an embodiment;

[0045] Figure 3 A schematic diagram of a process for obtaining a cumulative adjustment amount deviation in one embodiment;

[0046] Figure 4 A schematic diagram of a process for obtaining a target planned load in one embodiment;

[0047] Figure 5 A schematic diagram of a process for determining a target control power in an embodiment;

[0048] Figure 6 A schematic diagram of a flow chart for determining a target control power in another embodiment;

[0049] Figure 7 A schematic diagram of a flow chart for determining a target control power in another embodiment;

[0050] Figure 8 It is a structural block diagram of a charging power control device in one embodiment;

[0051] Fig. 9 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0053] The charging power control method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. The application environment includes a dispatchable resource 102 and a terminal 104, and optionally, may also include a server 106. The dispatchable resource 102 may include at least one dispatching unit, and the dispatchable resource 102 may be a charging station, a smart home, a distributed energy storage, etc. The dispatching unit may be a charging pile in a charging station, a smart electrical appliance in a smart home, an energy storage unit in a distributed energy storage, etc.

[0054] Among them, the terminal 104 communicates with the schedulable resource 102 through the network. The terminal 104 can be a terminal device with certain processing capabilities and interface display functions. The terminal 104 can be set in the schedulable resource 102 and communicate with each scheduling unit in the schedulable resource 102.

[0055] The terminal 102 may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, IoT devices, and portable wearable devices. IoT devices may be smart speakers, smart TVs, smart air conditioners, smart car devices, etc. Portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc.

[0056] The server 106 may be implemented as an independent server or a server cluster composed of multiple servers. The server 106 may be a server that provides background services for the terminal 104 or the schedulable resource 102. The background server may manage the terminal 104 or the schedulable resource 102, send air-conditioning instructions to each scheduling unit in the schedulable resource 102, etc.

[0057] Taking a charging station as an example, electric vehicles can interact with the power grid as a whole. The server 106 controls the charging power of each electric vehicle (charging pile) to achieve the overall control target of the charging station, thereby enhancing the regulation capability of demand-side resources.

[0058] In one embodiment, Figure 2 As shown, a charging power control method is provided, which is applied to Figure 1 The server in the example is used to illustrate the following steps:

[0059] Step 202: Obtain the cumulative adjustment deviation of the target schedulable resource within a predetermined historical period and the initial planned load at the current scheduling moment.

[0060] Among them, the initial planned load is used to indicate the winning planned load of the target dispatchable resource determined according to the winning capacity in the demand response. The initial planned load reflects the target load determined based on the baseline load and winning capacity of the target dispatchable resource after the target dispatchable resource participates in the power market or wins the bid for the regulation task, that is, the load level that the target dispatchable resource needs to achieve under given conditions according to the grid regulation needs.

[0061] The target dispatchable resource may refer to a target charging station to be regulated, and the initial planned load may be used to indicate a winning planned load of the target charging station determined according to the winning capacity in the demand response.

[0062] The predetermined historical period in the embodiment of the present application may refer to the dispatch period that has been completed within the current preset control period. The preset control period refers to a settlement period for load control or resource dispatch that is pre-determined according to system operation requirements or power grid requirements, and the preset control period, i.e., the settlement period, is used as the total control period to ensure that the total regulation amount of the charging station within the settlement period meets the regulation target amount of the charging station.

[0063] Among them, each preset control period may include multiple scheduling moments, and the server performs charging power control of the scheduling unit within the corresponding control step at each scheduling moment, and generates real-time control instructions for the scheduling unit. The control step may refer to the step size of the control instruction update, that is, the control sub-period between adjacent scheduling moments in the preset control period. For example, the settlement cycle can be one day, one hour, or a shorter 15-minute time window, and the server generates a control instruction at each scheduling moment (such as 1 minute).

[0064] Exemplarily, at each scheduling moment (every 1 minute) within the current settlement cycle (15 minutes), the server obtains the cumulative adjustment deviation of the target charging station in the historical period starting from the current settlement cycle, as well as the initial planned load at the current scheduling moment. The server generates control instructions for the charging power of the charging piles in the subsequent target charging station based on the cumulative adjustment deviation and the initial planned load at the current scheduling moment.

[0065] Step 204: based on the accumulated adjustment deviation of the target schedulable resource, correct the initial planned load of the target schedulable resource at the current scheduling time to obtain the target planned load of the target schedulable resource at the current scheduling time.

[0066] Exemplarily, after obtaining the cumulative adjustment amount deviation of the target charging station, the server can allocate the correction amount of the target charging station at the current scheduling time according to the cumulative adjustment amount deviation. The initial planned load represents the initial adjustment target of the target charging station at the current scheduling time determined according to the winning bid capacity. The server adds the correction amount at the current scheduling time to the initial adjustment target at the current scheduling time to obtain the target planned load of the target schedulable resources at the current scheduling time.

[0067] Step 206: Determine the target control power of the scheduling unit in the target schedulable resource at the current scheduling moment based on the target planned load.

[0068] Exemplarily, after determining the target planned load of the target charging station, the server obtains the status information of each charging pile in the target charging station, and then distributes the target planned load to each charging pile according to the status information of each charging pile to obtain the charging power of the charging pile, that is, determines the target control power of the charging pile at the current scheduling moment, so that the server generates a control instruction for the charging pile at the current scheduling moment according to the target control power.

[0069] In the above-mentioned charging power control method, the cumulative adjustment deviation of the target dispatchable resource in a predetermined historical period and the initial planned load at the current scheduling moment are obtained; the initial planned load is used to indicate the planned load of the target dispatchable resource determined according to the winning bid capacity in the demand response; based on the cumulative adjustment deviation of the target dispatchable resource, the initial planned load of the target dispatchable resource at the current scheduling moment is corrected to obtain the target planned load of the target dispatchable resource at the current scheduling moment; based on the target planned load, the target control power of the dispatch unit in the target dispatchable resource at the current scheduling moment is determined. The embodiment of the present application simultaneously considers the adjustment target of the target dispatchable resource at the current scheduling moment and the cumulative adjustment deviation of the predetermined historical period (such as up to the current scheduling moment), and corrects the adjustment target at the current scheduling moment by the cumulative adjustment deviation, thereby reducing the response deviation and improving the response accuracy, and can achieve the overall control target of the dispatchable resource by accurately controlling the charging power of each dispatch unit in the dispatchable resource.

[0070] In such Figure 2 In one possible implementation of the embodiment shown, Figure 3 As shown, the step of obtaining the cumulative adjustment deviation of the target schedulable resource within a predetermined historical period includes:

[0071] Step 302: Obtain the planned adjustment amount and the actual adjustment amount of the target schedulable resource within a predetermined historical period.

[0072] Among them, the planned adjustment amount refers to the amount to be adjusted determined based on the scheduling plan or market bidding results, and the actual adjustment amount is the adjusted amount.

[0073] Exemplarily, the server obtains the amount to be adjusted and the amount already adjusted that has been generated from the start scheduling time to the previous scheduling time in the current settlement period.

[0074] For example, the amount to be adjusted can be the winning bid adjustment amount, expressed as:

[0075] ;

[0076] in, It can represent the amount of adjustment that has been generated from the start scheduling time to the previous scheduling time. It can express the winning capacity per unit time. It can represent the scheduled historical period that has been adjusted in the current settlement cycle. It can be expressed as the control step size, It can be expressed as the scheduling time generated within the settlement period.

[0077] For example, the adjusted amount can be the difference between the reference amount and the actual amount. The reference amount is the amount of electricity consumed when the charging station is not adjusted, and is expressed as:

[0078] ;

[0079] ;

[0080] ;

[0081] in, It can represent the adjusted amount from the starting scheduling time to the previous scheduling time. is the cumulative benchmark power corresponding to the start scheduling time to the previous scheduling time, is the accumulated actual power from the start scheduling time to the previous scheduling time, is the baseline load per unit time, is the actual load per unit time.

[0082] Step 304: Subtract the planned adjustment amount from the actual adjustment amount to obtain a cumulative adjustment amount deviation.

[0083] For example, the cumulative adjustment deviation is the difference between the amount to be adjusted and the amount adjusted from the start time to the previous time in the current settlement period. The cumulative adjustment deviation can be expressed as:

[0084] ;

[0085] in, It is the cumulative adjustment deviation.

[0086] In such Figure 2 In one possible implementation of the embodiment shown, Figure 4 As shown, based on the accumulated adjustment deviation of the target schedulable resource, the initial planned load of the target schedulable resource at the current scheduling moment is corrected to obtain the target planned load of the target schedulable resource at the current scheduling moment, including:

[0087] Step 402: Determine the cumulative adjustment amount deviation load of the target schedulable resource at the current scheduling moment based on the cumulative adjustment amount deviation of the target schedulable resource.

[0088] Among them, the cumulative adjustment amount deviation load is used to characterize the average power of the cumulative adjustment amount deviation converted to the scheduling control step.

[0089] For example, the cumulative adjustment deviation load can be expressed as:

[0090] ;

[0091] in, It is the cumulative adjustment deviation load.

[0092] Step 404, combining the accumulated adjustment deviation load and the initial planned load to obtain the target planned load.

[0093] The initial planned load, i.e., the winning planned load, in the embodiment of the present application may be the difference between the baseline load and the winning capacity, expressed as:

[0094] ;

[0095] in, For the bid-winning planned load, is the baseline load, The winning bid capacity.

[0096] The target planned load of the target adjustable resource at the current scheduling time in the embodiment of the present application may be the difference between the winning planned load and the cumulative adjustment deviation load, expressed as:

[0097] ;

[0098] in, The target planned load for the target adjustable resource at the current scheduling moment.

[0099] In this embodiment, by converting the accumulated adjustment amount deviation into the average power of the current control step time interval, the initial planned load can be corrected to improve the adjustment accuracy.

[0100] In such Figure 2In one possible implementation of the embodiment shown, Figure 5 As shown, the scheduling unit includes a controllable scheduling unit and an uncontrollable scheduling unit; the target control power of the scheduling unit in the target schedulable resource at the current scheduling moment is determined based on the target planned load, including:

[0101] Step 502: determine the uncontrollable charging power of the uncontrollable scheduling unit in the target schedulable resource at the current scheduling moment.

[0102] In the embodiment of the present application, the scheduling unit in the target schedulable resource may include a controllable scheduling unit and an uncontrollable scheduling unit. For example, in a charging station, the power of some charging piles may be controllable (controllable piles) and the power of some charging piles may not be controllable (uncontrollable piles). In the embodiment of the present application, the charging piles in the charging station are divided according to whether the power is controllable, and the charging power of the uncontrollable piles is used as a boundary condition, and only the charging power of the controllable piles is adjusted to ensure the response accuracy.

[0103] Exemplarily, after determining the target planned load of the target charging station, the server obtains the status information of each charging pile in the target charging station, which may include information on whether each charging pile is controllable, and determines the charging power of the non-controllable pile at the current scheduling time, that is, the non-controllable charging power.

[0104] Step 504 , determining the controllable planned load of the target schedulable resource according to the target planned load of the target schedulable resource and the uncontrollable charging power of the uncontrollable scheduling unit.

[0105] Among them, the controllable planned load of the target dispatchable resource can represent the planned load of all controllable piles in the target charging station at the current dispatching moment.

[0106] For example, the controllable planned load can be expressed as:

[0107] ;

[0108] in, is a controllable planned load. It is all non-controllable pile loads at the current scheduling moment.

[0109] Step 506: Determine the target control power of the controllable scheduling unit in the target schedulable resource at the current scheduling moment according to the controllable planned load of the target schedulable resource.

[0110] Exemplarily, the server removes the charging power of non-controllable piles at the current scheduling moment from the target planned load, obtains the controllable planned load of the target schedulable resources, distributes the controllable planned load to each controllable pile, obtains the charging power of each controllable pile, that is, determines the target control power of each controllable pile at the current scheduling moment, so that the server generates control instructions for each controllable pile at the current scheduling moment according to the target control power.

[0111] In this embodiment, the response deviation is reduced and the response accuracy is improved by accumulating the adjustment deviation to the adjustment target at the current moment. The charging piles in the charging station are divided according to whether the power is controllable. The charging power of the uncontrollable piles is used as the boundary condition, and only the charging power of the controllable piles is adjusted to avoid the response deviation caused by the charging piles being unable to respond to the control command, thereby further improving the response accuracy.

[0112] In such Figure 5 In one possible implementation of the embodiment shown, Figure 6 As shown, according to the controllable planned load of the target schedulable resource, determining the target control power of the controllable scheduling unit in the target schedulable resource at the current scheduling moment includes:

[0113] Step 602: Obtain the rated power corresponding to each of the controllable scheduling units.

[0114] Step 604: Obtain the power requirements of each of the controllable scheduling units at the current scheduling moment.

[0115] Step 606, combining the rated power and the required power of each controllable scheduling unit, distributes the controllable planned load of the target schedulable resource to each controllable scheduling unit, and obtains the target control power corresponding to each controllable scheduling unit.

[0116] Each controllable pile in the embodiment of the present application may refer to each controllable pile being charged.

[0117] Exemplarily, the server obtains the rated power of each controllable pile and the required power of the vehicle being charged at the current scheduling moment, and for each controllable pile, combines the rated power and required power of all controllable piles to determine the proportion of the rated power or required power of each controllable pile to obtain the weighted weight of each controllable pile, thereby allocating the controllable planned load to each controllable pile in proportion according to the weighted weight of each controllable pile, and finally determining the target control power corresponding to each controllable pile.

[0118] In this embodiment, the planned load of the controllable piles in the charging pile is reasonably distributed to each controllable pile being charged in proportion, so as to obtain the control power of each controllable pile.

[0119] In such Figure 6In one possible implementation of the embodiment shown, Figure 7 As shown, the controllable planned load of the target schedulable resource is distributed to each of the controllable scheduling units to obtain the target control power corresponding to each of the controllable scheduling units, including:

[0120] Step 702: distribute the controllable planned load of the target schedulable resource to each of the controllable scheduling units to obtain the initial control power corresponding to each of the controllable scheduling units.

[0121] Step 704: Obtain the lower power limits corresponding to each of the controllable scheduling units.

[0122] Step 706: Determine the target control power corresponding to each of the controllable scheduling units in combination with the lower limit power, the rated power, the required power and the initial control power.

[0123] The embodiment of the present application distributes the planned load of the controllable piles in the charging station in proportion to each controllable pile being charged, obtains the initial control power of each controllable pile, and ensures that the control power of the controllable pile after distribution does not exceed the required power of the vehicle and the rated power of the pile, and is not less than the minimum power of the pile, and finally determines the target control power of each controllable pile.

[0124] For example, the target control power of the controllable pile can be expressed as:

[0125] ;

[0126] in, To control the power of the controllable pile at the current scheduling time, is the required power of the controllable pile at the current scheduling time, is the rated power of the controllable pile, It is the lower limit power of the controllable pile.

[0127] In this embodiment, when allocating the charging power of the charging pile, the required power of the vehicle, the rated power of the pile and the minimum power limit of the pile are considered at the same time, and the charging demand of the electric vehicle is met as much as possible without exceeding the power limit of the charging pile.

[0128] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0129] Based on the same inventive concept, the embodiment of the present application also provides a charging power control device for implementing the above-mentioned charging power control method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in one or more charging power control device embodiments provided below can refer to the limitations of the charging power control method above, and will not be repeated here.

[0130] In one embodiment, Figure 8 As shown, a charging power control device is provided, including: an acquisition module 802, a correction module 804 and a control module 806, wherein:

[0131] The acquisition module 802 is used to obtain the cumulative adjustment deviation of the target dispatchable resource within a predetermined historical period and the initial planned load at the current scheduling moment; the initial planned load is used to indicate the winning planned load of the target dispatchable resource determined according to the winning capacity in the demand response.

[0132] The correction module 804 is used to correct the initial planned load of the target schedulable resource at the current scheduling moment based on the accumulated adjustment amount deviation of the target schedulable resource, so as to obtain the target planned load of the target schedulable resource at the current scheduling moment.

[0133] The control module 806 is used to determine the target control power of the scheduling unit in the target schedulable resource at the current scheduling moment based on the target planned load.

[0134] Each module in the above charging power control device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each module.

[0135] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Fig. 9 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a charging power regulation method is implemented.

[0136] Those skilled in the art will understand that Fig. 9 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0137] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0138] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0139] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0140] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0141] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0142] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0143] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A charging power control method, characterized in that: The method comprises: Obtaining the cumulative adjustment deviation of the target dispatchable resource in a predetermined historical period and the initial planned load at the current dispatching moment; the initial planned load is used to indicate the winning planned load of the target dispatchable resource determined according to the winning capacity in the demand response; Based on the accumulated adjustment deviation of the target schedulable resource, the initial planned load of the target schedulable resource at the current scheduling moment is corrected to obtain the target planned load of the target schedulable resource at the current scheduling moment; The target control power of the scheduling unit in the target schedulable resource at the current scheduling moment is determined based on the target planned load.

2. The method according to claim 1, characterized in that The scheduling unit includes a controllable scheduling unit and an uncontrollable scheduling unit; the determining of the target control power of the scheduling unit within the target schedulable resource at the current scheduling moment based on the target planned load includes: Determine the uncontrollable charging power of the uncontrollable scheduling unit in the target schedulable resource at the current scheduling time; Determining a controllable planned load of the target schedulable resource according to the target planned load of the target schedulable resource and the uncontrollable charging power of the uncontrollable scheduling unit; According to the controllable planned load of the target schedulable resource, the target control power of the controllable scheduling unit in the target schedulable resource at the current scheduling moment is determined.

3. The method according to claim 2, characterized in that The determining, according to the controllable planned load of the target schedulable resource, the target controllable power of the controllable scheduling unit in the target schedulable resource at the current scheduling moment comprises: Obtaining the rated power corresponding to each of the controllable scheduling units; Obtain the required power corresponding to each of the controllable scheduling units at the current scheduling moment; In combination with the rated power and the required power of each controllable scheduling unit, the controllable planned load of the target schedulable resource is distributed to each controllable scheduling unit to obtain the target control power corresponding to each controllable scheduling unit.

4. The method according to claim 3, characterized in that The step of allocating the controllable planned load of the target schedulable resource to each of the controllable scheduling units to obtain the target control power corresponding to each of the controllable scheduling units includes: Allocating the controllable planned load of the target schedulable resource to each of the controllable scheduling units to obtain initial control power corresponding to each of the controllable scheduling units; Obtaining the lower power limits corresponding to each of the controllable scheduling units; The target control power corresponding to each of the controllable scheduling units is determined by combining the lower limit power, the rated power, the required power and the initial control power.

5. The method according to claim 1, characterized in that The step of correcting the initial planned load of the target schedulable resource at the current scheduling time based on the accumulated adjustment amount deviation of the target schedulable resource to obtain the target planned load of the target schedulable resource at the current scheduling time includes: Based on the accumulated adjustment deviation of the target schedulable resource, determining the accumulated adjustment deviation load of the target schedulable resource at the current scheduling moment; the accumulated adjustment deviation load is used to characterize the average power of the accumulated adjustment deviation converted to the scheduling control step; The target planned load is obtained by combining the cumulative adjustment deviation load and the initial planned load.

6. The method according to claim 1, characterized in that The step of obtaining the cumulative adjustment deviation of the target schedulable resource within a predetermined historical period includes: Obtaining a planned adjustment amount and an actual adjustment amount of the target schedulable resource within the predetermined historical period; The planned adjustment amount is subtracted from the actual adjustment amount to obtain the cumulative adjustment amount deviation.

7. A charging power control device, characterized in that: The device comprises: An acquisition module, used to acquire the cumulative adjustment deviation of the target dispatchable resource in a predetermined historical period and the initial planned load at the current dispatching moment; the initial planned load is used to indicate the winning planned load of the target dispatchable resource determined according to the winning capacity in the demand response; A correction module, configured to correct the initial planned load of the target schedulable resource at the current scheduling time based on the accumulated adjustment amount deviation of the target schedulable resource, so as to obtain the target planned load of the target schedulable resource at the current scheduling time; A control module is used to determine the target control power of the scheduling unit in the target schedulable resource at the current scheduling moment based on the target planned load.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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