Operation management and control method and equipment of shared energy storage power station and medium

Abstract

The invention discloses an operation management and control method and device for shared energy storage power stations and a medium. The method comprises the steps that multiple shared energy storage power stations, multiple wind power clusters and associated online market platforms included in an operation management system are determined; establishing a corresponding shared energy storage operation model and a corresponding wind power cluster operation model; generating a cooperative operation model between the shared energy storage power station and the wind power cluster; receiving an electric energy order sent by a power user through the online market platform, and selecting an adaptive specified power station from the plurality of shared energy storage power stations; and taking the specified power station as an executor of the electric energy order. A shared transaction environment is constructed for the shared energy storage power stations, the wind power cluster and the power users, the users can quickly and accurately select the most suitable shared energy storage power station from the multiple shared energy storage power stations, and finally the win-win situation of the three parties is achieved.

Description

Technical Field

[0001] The present application relates to the field of shared energy storage, and specifically to an operation control method, equipment and medium of a shared energy storage power station. Background Art

[0002] Shared energy storage power stations refer to large-scale energy storage power stations built and operated by independent energy storage operators, which provide energy storage services to multiple users (including new energy power generation companies, power users, etc.) through leasing and other means. These users can use the capacity and charging and discharging functions of the energy storage power station in different time periods and stages according to their own needs.

[0003] However, traditional shared energy storage power stations still have some problems in terms of operation management and cost management. For example, shared energy storage power stations involve multiple parties such as energy storage operators, new energy power generation companies, and power users. When distributing electricity, they are restricted by factors such as geographical regions, distribution distances, profit distribution, and equipment performance, making it difficult to manage electricity distribution. Summary of the invention

[0004] In order to solve the above problems, the present application proposes an operation control method of a shared energy storage power station, including: Determine multiple shared energy storage power stations, multiple wind power clusters, and associated online market platforms included in the operation and management system; the online market platform includes an electric energy market and a frequency regulation market; For each shared energy storage power station and each wind power cluster, a corresponding shared energy storage operation model and wind power cluster operation model are established according to their corresponding operation modes; Based on the shared energy storage operation model and the wind power cluster operation model, generating a cooperative operation model between the shared energy storage power station and the wind power cluster; Based on the cooperative operation model, regularly updating the sharing price of the shared energy storage power station; Receiving, through the online market platform, an electric energy order sent by an electric power user, and selecting an adapted designated power station from among the multiple shared energy storage power stations based on the electric energy order, the shared price, and the remaining amount of electricity provided by the shared energy storage power station; The designated power station is used as the executor of the electric energy order, and the electric energy order including the executor is published on the online market platform.

[0005] On the other hand, the present application also proposes an operation control device for a shared energy storage power station, including: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor. The instructions are executed by the at least one processor to enable the at least one processor to execute the operation control method of the shared energy storage power station as described in the above example.

[0006] On the other hand, the present application also proposes a non-volatile computer storage medium storing computer-executable instructions, where the computer-executable instructions are set as: the operation control method of the shared energy storage power station as described in the above example.

[0007] The operation control method of the shared energy storage power station proposed by the present application can bring the following beneficial effects: The operation modes of the shared energy storage power station and the wind power cluster are represented by the shared energy storage operation model and the wind power cluster operation model respectively, and a reasonable sharing price is given through the cooperative operation model to ensure the interests of both parties. Through the online market platform, an environment for shared transactions can be constructed for the shared energy storage power station, the wind power cluster, and power users, and power users can be screened to display the shared energy storage power stations required by the users. Users can quickly and accurately select the most suitable shared energy storage power station from multiple shared energy storage power stations, ultimately achieving a win-win situation for all three parties. Description of the Drawings

[0008] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The schematic embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation to the present application. In the drawings: Figure 1 It is a schematic flowchart of the operation control method of the shared energy storage power station in the embodiment of the present application; Figure 2 It is a schematic diagram of the operation management system in the embodiment of the present application; Figure 3 In the embodiment of the present application e fm,t Schematic diagram of probability density and fitting distribution curve; Figure 4 It is a schematic diagram of the equipment for the operation control method of the shared energy storage power station in the embodiment of the present application. Detailed Embodiments

[0009] To make the objectives, technical solutions, and advantages of the present application clearer, the technical solutions of the present application will be clearly and completely described below in conjunction with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0010] The following will describe in detail the technical solutions provided by each embodiment of the present application in conjunction with the accompanying drawings.

[0011] As Figure 1 shown, an operation control method for a shared energy storage power station provided by an embodiment of the present application includes: S101: Determine multiple shared energy storage power stations, multiple wind power clusters included in the operation management system, and the associated online market platform; the online market platform includes an electric energy market and a frequency modulation market.

[0012] As Figure 2 shown, in the operation management system, an online market platform can be created in advance, where the electric energy market and the frequency modulation market can be used as two of its modules, respectively for the trading of electric energy and the trading of frequency modulation. Power users (users who need to use shared energy storage), shared energy storage power stations, wind power clusters, etc. register in the online market platform, so as to facilitate the operation management system to control the online market platform.

[0013] S102: For each shared energy storage power station and each wind power cluster, establish corresponding shared energy storage operation models and wind power cluster operation models according to their respective corresponding operation modes.

[0014] The operation models are mainly used to represent the operation modes of each shared energy storage power station and each wind power cluster itself. In the operation models, a series of parameters are used to represent the costs, losses, and benefits incurred by the shared energy storage power station and the wind power cluster during the process of trading electric energy.

[0015] S103: Generate a cooperative operation model between the shared energy storage power station and the wind power cluster based on the shared energy storage operation model and the wind power cluster operation model.

[0016] The cooperative operation model refers to a cooperative model that meets the interests of both parties by comprehensively considering the costs and benefits of both the shared energy storage power station and the wind power cluster on the basis of the shared energy storage operation model and the wind power cluster operation model.

[0017] S104: Regularly update the sharing price of the shared energy storage power station based on the cooperative operation model.

[0018] The sharing price refers to the price of the trading products (mainly including energy storage equipment, frequency modulation services, etc.) provided by the shared energy storage power station in the online market platform. Since the costs are different in different time periods, the sharing price is not fixed, it can be updated regularly, and the quantities, qualities, types, etc. of the trading products that different shared energy storage power stations can provide are different, so the prices are usually different.

[0019] S105: Receive the electric energy order sent by the power user through the electric energy market, and based on the electric energy order, as well as the sharing price and the remaining available power of the shared energy storage power station, select a suitable designated power station from the multiple shared energy storage power stations.

[0020] The designated power station can be selected by the power user himself / herself, but this selection efficiency is too low. Therefore, the online market platform can be used to quickly screen for the power user for selection.

[0021] Specifically, first determine the order information corresponding to the electric energy order, and the order information is filled in and uploaded to the online market platform by the power user.

[0022] Based on the order information, as well as the sharing price and the remaining available power of the shared energy storage power station (after each shared energy storage power station receives and delivers the electric energy order, and after new trading products are generated through the wind power cluster, it is recorded in the online market platform to determine its own remaining available power), screen for the power user among multiple shared energy storage power stations, obtain several candidate power stations, and display them for the power user. Among them, the candidate power station is a single shared energy storage power station or a combination of multiple shared energy storage power stations. And generally speaking, sharing and leasing electric energy through energy storage equipment in the electric energy market is still the mainstream product. Therefore, the selection of the corresponding designated power station is mainly carried out for this type of trading product here. For the frequency modulation market, the situation is more complex, so it is selected by the power user himself / herself.

[0023] At this time, based on the selection of the power user among several candidate power stations, determine the corresponding designated power station.

[0024] Furthermore, when selecting candidate power stations, first determine that the order information at least includes: order time, required power, required energy, charge and discharge time periods (referring to the time periods during which charge and discharge are required), charge and discharge scheduling rights (referring to who controls the charge and discharge), price range, charge and discharge location range. Here, the hard requirements such as required power, charge and discharge time periods, and charge and discharge scheduling rights are used as the first dimension, and the adjustable requirements such as order time and price range are used as the second dimension.

[0025] Based on the charge and discharge location range, within a preset range of nearby distances, search for a shared energy storage power station that meets the requirements of the first dimension as the first candidate power station. Among them, if the number of first candidate power stations is less than the first preset number, or the levels of all first candidate power stations do not match the level of the power user (corresponding levels are set for each shared energy storage power station and power user in advance, and the higher the level, the larger its scale, and the higher the power that can be provided or demanded. Generally speaking, only shared energy storage power stations of the same level can meet the power users of the same level. Therefore, by judging whether the levels match, it is initially judged whether the current shared energy storage power station can meet the power user), then expand the preset range of the nearby distance until the number of first candidate power stations reaches the first preset number (at this time, even if the levels of the shared energy storage power stations do not match, the corresponding products can be provided for the power user through the combination of multiple shared energy storage power stations), or there is a first candidate power station whose level matches the level of the power user, or the preset range reaches the upper limit value.

[0026] According to the second dimension, select a shared energy storage power station that meets the requirements from the first candidate power stations as the second candidate power station. Among them, if the number of second candidate power stations is less than the second preset number, since the second dimension is a variable dimension, the range of the second dimension can be appropriately expanded until the number of second candidate power stations reaches the second preset number, or the range of the second dimension reaches the upper limit value, that is, the expanded range reaches the corresponding ratio.

[0027] Among the second candidate power stations, select a single shared energy storage power station that can provide the required power, or a combination of multiple shared energy storage power stations, as the final candidate power station according to the remaining power supply of itself. Generally speaking, a single shared energy storage power station is preferred. When the power demand of the power user is large and a single shared energy storage power station is difficult to meet, then a combination of multiple shared energy storage power stations is used as the candidate power station.

[0028] S106: Designate the said power station as the executor of the electric energy order, and announce the electric energy order containing the executor to the electric energy market.

[0029] After the announcement, in order to prevent cheating behavior between power stations and power users, the subsequent execution process also needs to be supervised. At this time, collect the execution process data of the designated power station for the electric energy order, and compare the execution process data with the order information. Among them, the execution process data can be collected and recorded through the transportation document information, invoice information, on-site photos, Internet of Things inbound and outbound information, etc. uploaded by both parties.

[0030] If, in the comparison result, the difference between the required power of the order information and the actual power provided by the execution process data is higher than the preset difference, or the difference between the price range of the order information and the actual price provided by the execution process data is higher than the preset difference, or the distance difference between the charge and discharge position range of the order information and the transportation position of the energy storage device in the execution process data is higher than the preset difference, it is considered that the two parties privately changed the data without going through the online market platform. (Of course, the two parties can change the corresponding order information on the online market platform before signing the order. At this time, the online market platform can re-match.) This is not only not conducive to protecting the interests of both parties, but also causes losses to the online market platform. At this time, the electricity energy order will be invalidated, and warnings will be issued to both the power user and the designated power station at the same time.

[0031] If, in the comparison result, the difference between the remaining dimensions of the order information and the corresponding dimensions of the execution process data is higher than the preset difference, it is considered that there may be a mistake on one side during the specific execution process, resulting in a fault. Therefore, a warning will be issued only to one of the power user or the designated power station. Which party specifically can be determined by which party actually made the mistake.

[0032] Furthermore, for the shared energy storage power station that has been warned, a power station mark will be made for it; the power station mark includes: a first mark for reducing the sorting position in the electricity energy order within a specified duration, a first mark for showing the user that it has been warned within a specified duration, a third mark for prohibiting the acceptance of electricity energy orders within a specified duration, and a fourth mark for permanently prohibiting the acceptance of electricity energy orders.

[0033] For the power user who has been warned, a user mark will be made for it; the user mark includes: a fifth mark for prohibiting the sending of electricity energy orders within a specified duration, and a sixth mark for permanently prohibiting the sending of electricity energy orders.

[0034] The specific mark can be determined by the warning times, the degree of transaction accidents, the consequences, etc. of this party.

[0035] In one embodiment, due to the limited energy of the energy storage system, if the energy of the energy storage power station is not planned, the situation of SOC overlimit may occur, resulting in the inability to follow the frequency modulation command. However, the frequency modulation signal is uncertain, so it is difficult to predict the change of the power station energy when the energy storage power station participates in the frequency modulation market. Therefore, a stochastic programming method is used in the day-ahead stage to describe the impact of the frequency modulation signal on the SOC of the energy storage power station.

[0036] Select e fm,t up 、 e fm,t down as uncertain variables, e fm,tup It represents the increased value of the power station energy caused by 1 MW of frequency regulation capacity in a dispatching period under the condition of fully following the upward frequency regulation signal. e fm,t down It represents the decreased value of the power station energy caused by 1 MW of frequency regulation capacity in a dispatching period under the condition of fully following the downward frequency regulation signal. The change value of the power station energy caused by 1 MW of frequency regulation capacity in a dispatching period E fm,t It can be expressed by the following formula.

[0037] (1); (2); where, P ses,t fm is t the power of the shared energy storage participating in the frequency regulation market in the time period; △ t is the duration of each time period.

[0038] Here, according to the historical market frequency regulation signal data, the e fm,t up and e fm,t down values of 96 time periods of each day can be obtained. After obtaining the data set, the scenario reduction method based on the Kantorovich distance is used to reduce the scenarios to 10.

[0039] In the real-time stage, the frequency regulation signal at the next moment is difficult to predict. Therefore, based on the PJM market frequency regulation signal data, the probability distribution of the uncertain variable e fm,t is summarized, and its probability density function is obtained based on the probability distribution. Here, it can be realized by using the distribution fitting toolbox in Matlab. From the results, it can be seen that the uncertain variable satisfies a negative skewed distribution.

[0040] As Figure 3 shown, an example is provided here. e fm,t The probability of < -0.1 is 9.73%, e fm,t The probability of > 0.1 is 10.87%. Then, in the real-time operation stage, to ensure operation economy, with e fm dn = -0.1 and e fm dn = 0.1 as the benchmark, the frequency regulation capacity is reserved.

[0041] The shared energy storage operation model aims to maximize the benefits of shared energy storage. The benefits consider the revenue from participating in the electricity energy market and the frequency regulation market, and the costs consider the cost of purchasing electricity from the wind power cluster, the resulting power loss, and the battery aging cost.

[0042] The shared energy storage operation model includes: (3); (4); (5); (6); (7); Among them, R ses en is the revenue of the shared energy storage participating in the electricity energy market; R ses fm is the revenue of the shared energy storage participating in the frequency regulation market; Q ele is the cost of the energy storage to purchase wind power; C ses buy is the loss cost when the shared energy storage purchases electricity from the wind power cluster, including at least the energy storage efficiency loss and the line loss; P ses,i,t buy is the power of the shared energy storage participating in the electricity energy market in scenario i during t period; c ses en is the cost coefficient of the shared energy storage participating in the electricity energy market; c ses en,err is the deviation assessment coefficient of the shared energy storage participating in the electricity energy market; P ses,i,t en,err In scenario i during t period, the deviation value between the power of the energy storage power station participating in the electricity energy market and the actual day-ahead bid power; P ses,t fm is t the power of the shared energy storage participating in the frequency regulation market during r fc 、 r sd are the capacity and mileage price of the day-ahead frequency regulation market; D i,t is the frequency regulation mileage in scenario i during t period;c sd is the frequency modulation mileage cost; γ ele,t is t the electricity price for the time-sharing shared energy storage to purchase wind power; P ele,t in is t the power purchase of the time-sharing shared energy storage from the wind power cluster; c ses buy is the loss cost when the shared energy storage purchases electricity from the wind power cluster; The operation model of the shared energy storage also includes constraint conditions, and the constraint conditions include energy storage power constraints and energy storage energy constraints; The energy storage power constraints include: (8); (9); (10); (11); (12); (13); (14); Among them, P ses,i,t in and P ses,i,t out are respectively the charge and discharge powers of the time-sharing shared energy storage in the scenario i in t ; P ses,max is the rated power of the shared energy storage; u ses,i,t in and u ses,i,t in are respectively the charge and discharge flag bits of the time-sharing shared energy storage in the scenario i in t ; The energy storage energy constraints include: (15); (16); (17); (18); Among them, E ses,i,t is in the scenarioi China t Share the energy of the energy storage power station during different time periods. t = 0 and t = T represent the start and end time periods of a day for the shared energy storage power station respectively; E ses is the rated energy of the shared energy storage power station; S max is the maximum available SOC of the shared energy storage power station; S min is the minimum available SOC of the shared energy storage power station; η ess in and η ess out are the charge-discharge efficiencies of the shared energy storage power station; k s is the ratio of the maximum energy difference between the start and end of a day of the shared energy storage power station to the rated capacity.

[0043] The operation model of the wind power cluster aims to maximize the profit of the wind power cluster. The profit takes into account the profit from participating in the electric energy market and the profit from selling electricity to the shared energy storage. The cost takes into account the loss cost of purchasing electricity from the energy storage, the fluctuation assessment cost, and the curtailment assessment cost.

[0044] The operation model of the wind power cluster includes: (19); (20); (21); (22); (23); Among them, R wc en is the profit of the wind power cluster from participating in the electric energy market; C wc sf is the fluctuation assessment cost of the wind power cluster; C wc cw is the curtailment assessment cost of the wind power cluster; P wc,t en is t the profit of the wind power cluster from participating in the electric energy market during a certain time period; c wc sf is the fluctuation over-limit assessment coefficient of the wind power cluster; △ P wc,t en is t the fluctuation power of the wind power cluster during a certain time period; △ P wc,lim en is the maximum fluctuation power limit;c wc cw is the wind curtailment assessment coefficient of the wind power cluster; P wc,t cw is t the wind curtailment power of the wind power cluster during the The operation model of the wind power cluster also includes constraint conditions, which include power balance constraints and maximum power constraints at the grid connection point; The power balance constraints include: (24); The maximum power constraints at the grid connection point include: (25); where P wc,t is t the power generation power of the wind power cluster during the P wc,max en is the maximum power limit value at the grid connection point of the wind power cluster.

[0045] Based on this, the cooperative operation model includes: (26); where R ses 0.* and R wc 0.* are the optimal operation benefits of the shared energy storage and the wind power cluster without cooperation, i.e., the Nash negotiation breakdown point, and its value can be obtained by solving the operation models of the shared energy storage and the wind power cluster.

[0046] However, the cooperative operation model is a Nash negotiation cooperation game model, which is essentially a non-convex and non-linear optimization problem and is difficult to solve directly. It can be converted into the following two sub-problems that are easy to solve: the sub-problem of maximizing the cooperative benefits between the shared energy storage power station and the wind power cluster and the sub-problem of benefit distribution. Solving the two sub-problems in sequence can obtain the optimal solution of the original problem.

[0047] Sub-problem 1: The sub-problem of maximizing the cooperative benefits between the shared energy storage power station and the wind power cluster (27) Sub-problem 2: The sub-problem of benefit distribution.

[0048] (28) In the formula: X ses * and X wc* The optimal solutions obtained for sub-problem 1 respectively X ses and X wc optimal solution.

[0049] By solving the day-ahead operation decision optimization model, the operation plans of each time period of the energy storage power station are obtained and used as known quantities to be brought into the real-time operation decision optimization model. The real-time operation decision formulates the operation plan within the next 4 hours before each 15-minute scheduling period. The prediction accuracy of new energy power generation gradually improves as the prediction lead time approaches. At this time, the wind power cluster needs to suppress power fluctuations, which will change compared with the day-ahead, and frequency modulation will also cause changes in the shared energy storage SOC. Therefore, the operation decision of the alliance needs to be adjusted in the real-time stage. With the goal of maximizing the rolling optimization period revenue, the rolling optimization decision model of the wind power cluster in the real-time stage is as follows: (1) Real-time stage rolling optimization model of shared energy storage (29); Among them, R ses rt,en and R ses rt,fm and Q ele rt and C ses rt,buy are respectively the revenues of the shared energy storage participating in the electric energy market, the revenue of participating in the frequency modulation market, the cost of purchasing wind power, and the cost of power purchase loss during the 0 - t 0 - t 0 + 16 time periods in the real-time stage; C ses rt,en,dp and C ses rt,fm,dp are t 0 - t the assessment costs caused by the power deviation of the shared energy storage participating in the electric energy market and the frequency modulation market between the day-ahead and the real-time stage during the 0 + 16 time periods; c rt,en and c rt,fm are the deviation assessment coefficients for the frequency modulation market and the electric energy market; k sd is the average value of the ratio of the frequency modulation mileage to the frequency modulation reserve capacity; P ses,t rt,en,dp is t the power deviation value of the shared energy storage in the real-time stage and the day-ahead stage in the electric energy market during the time period; P ses,t rt,en ist The real-time stage power value of the time-sharing energy storage in the electricity energy market; P ses,t rt,fm,dp is t The capacity deviation value between the real-time stage and the day-ahead stage of the time-sharing energy storage in the frequency regulation market; P ses,t rt,fm is t The reserved capacity value of the time-sharing energy storage in the real-time stage of the frequency regulation market.

[0050] The real-time stage rolling optimization model of the wind power cluster includes: (30); wherein, R wc rt,en , C wc rt,sf , C wc rt,cw are respectively the revenue of the wind power cluster participating in the electricity energy market, the volatility assessment cost, and the curtailment assessment cost in the real-time stage; C wc rt,dp is the assessment cost caused by the power deviation between the day-ahead and real-time stages of the wind power cluster participating in the electricity energy market; P wc,t rt,dp is t The power deviation value between the real-time stage and the day-ahead stage of the wind power cluster in the electricity energy market during the period; P wc,t rt,en is t The power value of the wind power cluster in the real-time stage of the electricity energy market during the period.

[0051] The real-time stage cooperative operation rolling optimization model of the shared energy storage power station and the wind power cluster includes: (31); wherein, R ses rt,0.* , R wc rt,0.* are respectively the Nash bargaining breakdown points of the shared energy storage power station and the wind power cluster in the real-time stage. The model solving method for rolling optimization of a scheduling period in the real-time stage is the same as that in the day-ahead stage, which will not be elaborated here.

[0052] After decomposing the Nash bargaining model into two mixed-integer linear programming models, the commercial optimization solver CPLEX can be called for solution. The specific solution process is as follows: 1. Day-ahead stage: One scheduling period for day-ahead operation decision is 15 minutes, and the scheduling cycle is 24 hours.

[0053] Step 1: Input the electricity price prediction curve for the next day and the scenario set after the scenario reduction method described in Section 2.2, and solve the operation decision model of the shared energy storage power station (Equations (3)-(18)) to obtain the day-ahead operation decision when the shared energy storage power station operates alone.

[0054] Step 2: Input the short-term new energy prediction curve for the next day, and solve the operation decision model of the wind power cluster (Equations (19)-(25)) to obtain the day-ahead operation decision when the wind power cluster operates alone.

[0055] Step 3: According to the benefits obtained in Step 1 and Step 2 when operating alone, that is, the Nash bargaining breakdown point, solve the cooperative operation decision model of the shared energy storage power station and the wind power cluster (Equation (26)) based on the Nash bargaining theory. Convert it into the sub-problem of maximizing the coalition benefit (Equation (27)) to solve the day-ahead operation decision of the shared energy storage power station and the wind power cluster, and the sub-problem of benefit distribution (Equation (28)) to solve the benefits of the shared energy storage power station and the wind power cluster in the day-ahead stage. The day-ahead benefits of each wind farm are allocated by the Shapley method.

[0056] 2. Real-time stage: One scheduling period for real-time operation decision is 15 minutes, and the scheduling cycle is 4 hours. Assume that the current rolling optimization period is t 0, let t The initial value of 0 is 1, and the rolling optimization in the real-time stage starts from the first period.

[0057] Step 1: Input t 0 - t 0 + 16 The day-ahead operation plan of the shared energy storage power station participating in the electricity energy market and the frequency regulation market, and solve the real-time rolling optimization model of the shared energy storage (Equation (29)) in the real-time stage to obtain the real-time operation decision when the shared energy storage power station operates alone in the real-time stage.

[0058] Step 2: Input t 0 - t 0 + 16 The ultra-short-term new energy prediction curve and the day-ahead operation plan of the wind power cluster participating in the electricity energy market, and solve the operation decision model of the wind power cluster (Equation (30)) in the real-time stage to obtain the real-time operation decision when the wind power cluster operates alone in the real-time stage.

[0059] Step 3: Input the revenue during the real-time stage obtained according to Steps 1 and 2, i.e., the Nash negotiation breakdown point in the real-time stage, and solve the cooperative operation decision-making model of the shared energy storage power station and the wind power cluster based on the Nash negotiation theory in the real-time stage, Equation (31). Decompose it into a sub-problem of maximizing the alliance revenue and a revenue distribution sub-problem consistent with the day-ahead stage, and solve the respective real-time rolling optimization operation decisions and revenues of the shared energy storage power station and the wind power cluster during cooperative operation. The real-time revenues of each wind farm are allocated by the Shapley method.

[0060] Step 4: Let t 0 = t 0 + 1, and perform rolling optimization decisions for each scheduling period in sequence until the last period of this scheduling cycle ( t 0 = 96).

[0061] As Figure 4 shown, the embodiment of the present application also provides an operation control device for a shared energy storage power station, including: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the operation control method of the shared energy storage power station as described in any one of the above embodiments.

[0062] The embodiment of the present application also provides a non-volatile computer storage medium storing computer-executable instructions, and the computer-executable instructions are set to: the operation control method of the shared energy storage power station as described in any one of the above embodiments.

[0063] The various embodiments in the present application are described in a progressive manner. The same or similar parts among the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0064] The device and medium provided by the embodiment of the present application correspond one-to-one with the method. Therefore, the device and medium also have beneficial technical effects similar to those of the corresponding method. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the device and medium are not described herein again.

[0065] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0066] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0067] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means realizes the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0068] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for realizing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0069] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and a memory.

[0070] The memory may include non-permanent memory in the computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.

[0071] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0072] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0073] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for operating and controlling a shared energy storage power station, characterized in that, Including: Determine multiple shared energy storage power stations, multiple wind power clusters included in the operation management system, and the associated online market platform; The online market platform includes an electric energy market and a frequency regulation market; For each shared energy storage power station and each wind power cluster, establish a corresponding shared energy storage operation model and a wind power cluster operation model according to their respective corresponding operation modes; Based on the shared energy storage operation model and the wind power cluster operation model, generate a cooperative operation model between the shared energy storage power station and the wind power cluster; Based on the cooperative operation model, regularly update the shared price of the shared energy storage power station; Through the online market platform, receive the electric energy order sent by the power user, and based on the electric energy order, as well as the shared price and the remaining available power of the shared energy storage power station, select a suitable designated power station among the multiple shared energy storage power stations; Take the designated power station as the executor of the electric energy order, and announce the electric energy order including the executor to the online market platform.

2. The method according to claim 1, wherein Based on the electric energy order, as well as the shared price and the remaining available power of the shared energy storage power station, selecting a suitable designated power station among the multiple shared energy storage power stations specifically includes: Determine the order information corresponding to the electric energy order; Based on the order information, as well as the shared price and the remaining available power of the shared energy storage power station, screen for the power user among the multiple shared energy storage power stations to obtain several candidate power stations and display them to the power user; wherein, the candidate power station is a single shared energy storage power station or a combination of multiple shared energy storage power stations; Based on the selection of the power user among the several candidate power stations, determine the corresponding designated power station.

3. The method according to claim 2, wherein Based on the order information, as well as the shared price and the remaining available power of the shared energy storage power station, screening for the power user among the multiple shared energy storage power stations to obtain several candidate power stations specifically includes: Determine that the order information at least includes: order time, required power, required energy, charge and discharge time period, charge and discharge scheduling right, price range, charge and discharge location range; Take the required power, the charge and discharge time period, and the charge and discharge scheduling right as the first dimension, and take the order time and the price range as the second dimension; Based on the charge and discharge location range, within a preset range of nearby distance, search for shared energy storage power stations that meet the requirements of the first dimension as the first candidate power stations; wherein, if the number of the first candidate power stations is less than the first preset number, or the grades of all the first candidate power stations do not match the grade of the power user, then expand the preset range of the nearby distance until the number of the first candidate power stations reaches the first preset number, or there is a first candidate power station whose grade matches the grade of the power user, or the preset range reaches the upper limit value; Select a shared energy storage power station that meets the requirements from the first candidate power stations according to the second dimension as the second candidate power station; wherein, if the number of the second candidate power stations is less than the second preset number, expand the range of the second dimension until the number of the second candidate power stations reaches the second preset number, or the range of the second dimension reaches the upper limit value. Among the second candidate power stations, select a single shared energy storage power station or a combination of multiple shared energy storage power stations that can provide the required power according to their remaining available power as the final candidate power stations.

4. The method according to claim 3, wherein After taking the designated power station as the executor of the electrical energy order, the method further includes: Collect the execution process data of the designated power station for the electrical energy order and compare the execution process data with the order information. If in the comparison result, the difference between the required power in the order information and the actual available power in the execution process data is higher than the preset difference, or the difference between the price range in the order information and the actual available price in the execution process data is higher than the preset difference, or the distance difference between the charge and discharge location range in the order information and the transportation location of the energy storage device in the execution process data is higher than the preset difference, then cancel the electrical energy order and issue a warning to the power user and the designated power station. If in the comparison result, the difference between the remaining dimension in the order information and the corresponding dimension in the execution process data is higher than the preset difference, then issue a warning to the power user or the designated power station.

5. The method according to claim 4, wherein The method further includes: For the shared energy storage power station that issues a warning, perform a power station mark on it; the power station mark includes: a first mark for reducing the sorting position in the electrical energy order within a specified duration, a first mark for showing the user that it has been warned within a specified duration, a third mark for prohibiting receiving electrical energy orders within a specified duration, and a fourth mark for permanently prohibiting receiving electrical energy orders. For the power user that issues a warning, perform a user mark on it; the user mark includes: a fifth mark for prohibiting sending electrical energy orders within a specified duration, and a sixth mark for permanently prohibiting sending electrical energy orders.

6. The method according to claim 1, wherein The shared energy storage operation model includes: (3)； (4)； (5)； (6)； (7)； Among them, R ses en is the revenue of shared energy storage participating in the electric energy market; R ses fm is the revenue of shared energy storage participating in the frequency regulation market; Q ele is the cost of energy storage purchasing wind power; C ses buy is the loss cost when shared energy storage purchases electricity from the wind power cluster, including at least energy storage efficiency loss and line loss; P ses,i,t buy is in scenario i in t the power of shared energy storage participating in the electric energy market during the period; c ses en is the cost coefficient of shared energy storage participating in the electric energy market; c ses en,err is the deviation assessment coefficient of shared energy storage participating in the electric energy market; P ses,i,t en,err In scenario i in t the deviation value between the power of the energy storage power station participating in the electric energy market during the period and the actual day-ahead bid power; P ses,t fm is t the power of shared energy storage participating in the frequency regulation market during the period; r fc 、 r sd are the capacity and mileage price of the day-ahead frequency regulation market; D i,t is in scenario i in t the frequency regulation mileage during the period; c sd is the frequency regulation mileage cost; γ ele,t is t the electricity price for shared energy storage to purchase wind power during the period; P ele,t in is t the power of shared energy storage to purchase electricity from the wind power cluster during the period; c ses buy is the loss cost when shared energy storage purchases electricity from the wind power cluster; The shared energy storage operation model further includes constraint conditions, and the constraint conditions include energy storage power constraints and energy storage energy constraints. The energy storage power constraint includes: (8)； (9)； (10)； (11)； (12)； (13)； (14)； Among them, P ses,i,t in , P ses,i,t out are respectively the charging and discharging powers of the shared energy storage during the i period t in the scenario; P ses,max is the rated power of the shared energy storage; u ses,i,t in , u ses,i,t in are respectively the charging and discharging flag bits of the shared energy storage during the i period t in the scenario; The energy storage energy constraint includes: (15)； (16)； (17)； (18)； Among them, E ses,i,t is to share the energy of the energy storage power station during the i period in the scenario. t t = 0 and t = T represent the start and end times of a day for the shared energy storage power station respectively; E ses is the rated energy of the shared energy storage power station; S max is the maximum available SOC of the shared energy storage power station; S min is the minimum available SOC of the shared energy storage power station; η ess in and η ess out are the charge-discharge efficiencies of the shared energy storage power station; k s is the ratio of the maximum energy difference between the start and end of a day of the shared energy storage power station to the rated capacity.

7. The method according to claim 6, characterized in that The wind power cluster operation model includes: (19)； (20)； (21)； (22)； (23)； Among them, R wc en is the revenue of the wind power cluster participating in the electric energy market; C wc sf is the cost of the wind power cluster for fluctuation assessment; C wc cw is the cost of the wind power cluster for curtailment assessment; P wc,t en is t the revenue of the wind power cluster participating in the electric energy market during period; c wc sf is the over-limit assessment coefficient of the wind power cluster for fluctuation; △ P wc,t en is t the fluctuating power of the wind power cluster during period; △ P wc,lim en is the limit value of the maximum fluctuating power; c wc cw is the curtailment assessment coefficient of the wind power cluster; P wc,t cw is t the curtailment power of the wind power cluster during period; The wind power cluster operation model further includes constraint conditions, and the constraint conditions include power balance constraints and maximum power constraints at the grid connection point. The power balance constraint includes: (24)； The maximum power constraint at the grid connection point includes: (25)； Among them, P wc,t is t the generated power of the wind power cluster during a time period; P wc,max en is the maximum power limit at the grid connection point of the wind power cluster.

8. The method according to claim 7, characterized in that The cooperative operation model includes: (26)； Among them, R ses 0.* , R wc 0.* are respectively the optimal operation benefits of the shared energy storage and the wind power cluster when there is no cooperation.

9. An operation control device for a shared energy storage power station, characterized in that, Including: At least one processor; And, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the operation control method of the shared energy storage power station as described in any one of claims 1 to 8.

10. A non-volatile computer storage medium stores computer-executable instructions, characterized in that, The computer-executable instructions are set to: the operation control method of the shared energy storage power station according to any one of claims 1 to 8.

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