A joint dispatching method to improve energy storage utilization rate of new energy stations

Abstract

The present invention relates to the technical field of energy storage-assisted frequency regulation, and discloses a joint dispatching method for improving the utilization rate of energy storage in new energy stations, including the following steps: S1, constructing a coordinated optimization dispatching strategy for multiple wind-solar-storage systems; S2, proposing an optimal control strategy for energy storage in a wind-storage system; S3, proposing a bidding-dispatching-settlement strategy for energy storage alliances to participate in the frequency regulation market, wherein the S1 step includes: S1.1, determining the operation mode of energy storage in a single new energy station; S1.2, determining a joint operation mode for multiple new energy stations, wherein the operation mode of energy storage in a single new energy station in the S1.1 step is that the energy storage in a wind storage or solar storage system mainly tracks the dispatching plan, and participates in frequency regulation auxiliary services as a supplement. By constructing a coordinated optimization dispatching strategy for multiple wind-solar-storage systems, proposing an optimal control strategy for energy storage in a wind-storage system, and designing a bidding-dispatching-settlement mechanism for energy storage alliances to participate in the frequency regulation market, the utilization rate and economic benefits of the energy storage system can be improved, and the stability and reliability of the power system can be enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage-assisted frequency regulation, and specifically to a joint dispatching method for improving energy storage utilization rate of new energy stations. Background Art

[0002] With the continuous growth of global energy demand and the increasing attention to environmental protection, renewable energy, especially wind power and photovoltaic power generation, has gradually become an important part of the power system. However, due to the intermittent and volatile nature of wind power and photovoltaic power generation, the stable operation of the power system faces huge challenges. Traditional thermal power units have poor adjustment flexibility and are difficult to cope with the rapid fluctuations of renewable energy power generation, which puts higher requirements on the safe and stable operation of the power system.

[0003] In order to better utilize renewable energy sources such as wind power and photovoltaic power and improve the stability of their grid-connected power generation, the application of energy storage systems has gradually become the key. Energy storage systems can store electricity when electricity demand is low and release electricity when demand is high, thereby smoothing out load fluctuations in the power system. In addition, energy storage systems can also participate in auxiliary services such as frequency regulation and voltage regulation of the power system, further improving the stability and reliability of the power grid.

[0004] At present, although energy storage technology has been widely studied and applied, there are still many problems in the coordinated optimization and scheduling of multi-wind-solar-storage systems. For example, how to achieve coordinated optimization and scheduling between different types of new energy sites to improve the operating efficiency of the overall system; how to balance economic benefits and system stability during the operation of the energy storage system; and how to improve the utilization rate of the energy storage system and shorten its payback period through reasonable scheduling strategies.

[0005] The present invention proposes a joint scheduling method for improving the energy storage utilization rate of new energy stations, aiming to solve the above problems. Summary of the invention

[0006] In view of the shortcomings of the prior art, the present invention provides a joint scheduling method for improving the energy storage utilization rate of new energy stations, which solves the problems of low energy storage utilization rate of new energy stations and poor operation stability of the power system.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: A joint dispatching method for improving the energy storage utilization rate of new energy stations, comprising the following steps:

[0008] S1. Construct a coordinated optimization dispatching strategy for multiple wind-solar-storage systems;

[0009] S2. Propose the optimal control strategy for wind energy storage system;

[0010] S3. Propose a bidding, dispatching and settlement strategy for energy storage alliances to participate in the frequency regulation market.

[0011] Preferably, in the step S1:

[0012] S1.1. Determine the operation mode of energy storage at a single new energy station;

[0013] S1.2. Determine the joint operation mode of multiple new energy stations.

[0014] Preferably, the operation mode of the energy storage of a single new energy station in step S1.1 is that the energy storage in the wind storage or solar storage system is operated mainly by tracking the scheduling plan and supplemented by participating in the frequency regulation auxiliary service;

[0015] The joint operation mode of multiple new energy stations in step S1.2 includes:

[0016] The energy storage alliance agent will integrate the size and direction of each energy storage power application to determine the final capacity applied for in the frequency regulation auxiliary service market;

[0017] During the frequency regulation and dispatching phase, the energy storage alliance agents receive frequency regulation instructions from the dispatching center and distribute the instructions to each energy storage.

[0018] Preferably, the optimal control strategy for wind energy storage system energy storage proposed in step S2 includes:

[0019] S2.1. Construct a rolling optimization control strategy for the wind-storage system;

[0020] S2.2. Construct an optimal operation model for the wind-storage system.

[0021] Preferably, the wind-storage system rolling optimization control strategy in step S2.1 includes:

[0022] S2.11, day-ahead power generation plan formulation stage;

[0023] S2.12, intraday rolling optimization scheduling stage;

[0024] S2.13, real-time frequency modulation scheduling stage.

[0025] Preferably, the objective function of the wind energy storage system optimization operation model in step S2.2 is as follows:

[0026] in, is the profit of wind-storage system i in the total number of the current rolling optimization period; T is the total number of the current rolling optimization period; and are the revenue and cost of wind-storage system i in period t respectively; and They are the grid-connected electricity revenue, frequency regulation capacity revenue and frequency regulation mileage revenue of wind-storage system i in period t respectively; and are the life loss cost and energy loss cost of the energy storage of wind storage system i in period t respectively; is the output deviation penalty cost of wind-storage system i in period t.

[0027] Preferably, the energy storage alliance's bidding, dispatching and settlement strategy for participating in the frequency regulation market in step S3 includes:

[0028] S3.1. Propose a bidding strategy that takes into account the maximization of alliance benefits;

[0029] S3.2. Construct a dispatching strategy that takes into account equal opportunities for station frequency regulation response;

[0030] S3.3. Construct a settlement strategy based on the actual frequency modulation response process of the station.

[0031] Preferably, the step S3.1 specifically includes the following steps:

[0032] S3.11. Determine the bidding capacity:

[0033] Based on the market mechanism for the first 15 minutes of frequency regulation ancillary services, energy storage alliance agents determine the bidding capacity during the bidding stage;

[0034] The smaller value of the sum of the upward frequency regulation power and the sum of the downward frequency regulation power declared by each station shall be used as the bidding capacity for participating in the frequency regulation auxiliary service market;

[0035] S3.12. Notify each station of the actual winning bid capacity:

[0036] After the energy storage alliance agent determines the bidding capacity for the response period, it will promptly notify each site in the alliance of the actual winning capacity;

[0037] Each station modifies the energy storage power reserved during the response period to respond to the frequency regulation task;

[0038] S3.13. Determine the winning bid for equal bidirectional partial capacity:

[0039] If the capacity reported by a station includes both upward frequency regulation power and downward frequency regulation power, it can directly participate in the frequency regulation auxiliary service market without joining the energy storage alliance;

[0040] When determining the actual winning capacity of each station within the alliance, priority will be given to ensuring that the equivalent two-way partial capacity of this type of station is awarded;

[0041] S3.14. Calculate the shortfall capacity and remaining capacity:

[0042] The shortfall is the capacity declared by the energy storage alliance agent during period t minus the sum of the winning bid capacities of each station;

[0043] The remaining available upward and downward power after deducting the capacity that must be awarded from the declared capacity of each station in the alliance;

[0044] S3.15. Determine the actual winning bid capacity:

[0045] The actual winning bid capacity of station i within the alliance during period t includes both upward frequency regulation capacity and downward frequency regulation capacity.

[0046] Preferably, the step S3.2 specifically includes the following steps:

[0047] S3.21, receiving frequency modulation instructions:

[0048] During the response period, the energy storage alliance agent receives the frequency regulation instructions issued by the dispatch center;

[0049] S3.22, Allocate frequency modulation tasks:

[0050] The energy storage alliance agent allocates frequency regulation tasks in proportion to the upward frequency regulation capacity and downward frequency regulation capacity actually won by each station;

[0051] S3.23. Calculate station frequency modulation tasks:

[0052] The frequency regulation task that station i needs to undertake during the j-th frequency regulation dispatch in period t is allocated proportionally based on the frequency regulation instructions received by the energy storage alliance agents.

[0053] Preferably, the step S3.3 specifically includes the following steps:

[0054] S3.31. Settlement of frequency modulation income:

[0055] Energy storage alliance agents serve as a hub between the frequency regulation auxiliary service market and stations, and settlement is carried out based on the actual response of energy storage alliance agents;

[0056] S3.32. Calculate the frequency modulation benefit:

[0057] The frequency regulation benefits obtained by the energy storage alliance agents during period t include frequency regulation capacity benefits and frequency regulation mileage benefits, based on the frequency regulation performance of the energy storage alliance;

[0058] S3.33. Distribution of frequency modulation revenue:

[0059] Energy storage alliance agents distribute frequency regulation revenue based on the winning bid capacity and actual usage of each site.

[0060] The present invention provides a joint dispatching method for improving the energy storage utilization rate of new energy stations. It has the following beneficial effects:

[0061] 1. The multi-wind-solar-storage system collaborative optimization scheduling strategy and the wind-storage system energy storage optimal control strategy proposed in the present invention can significantly improve the utilization rate of energy storage equipment in new energy stations. Compared with the traditional method of only assisting in tracking and scheduling plans, the method of the present invention enables the energy storage equipment to fully play its role in frequency modulation and auxiliary tracking and scheduling, thereby improving the utilization efficiency of the energy storage equipment.

[0062] 2. The present invention can improve the revenue of energy storage equipment in the frequency regulation auxiliary service market by constructing a bidding-dispatching-settlement strategy for energy storage alliances to participate in the frequency regulation market. Energy storage alliance agents can maximize the revenue of energy storage equipment in the frequency regulation market through reasonable bidding and dispatching strategies, while ensuring that each new energy station has equal frequency regulation response opportunities.

[0063] 3. The collaborative optimization scheduling strategy of multiple wind-solar-storage systems and the frequency regulation market participation strategy of the energy storage alliance of the present invention enable new energy sites to recover the investment cost of energy storage equipment in a shorter period of time, effectively shortening the payback period of energy storage equipment in new energy sites.

[0064] 4. The present invention improves the frequency active support capability of new energy stations through the efficient use of energy storage equipment, reduces the wind and solar power abandonment rate, increases the stability of wind and solar power output, and thus enhances the safe and stable operation capability of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 is a flow chart of the present invention;

[0066] Figure 2 A schematic diagram of the coordinated optimization scheduling of a multi-wind-solar-storage system of the present invention;

[0067] Figure 3 This is a framework diagram of the wind storage system rolling optimization control strategy of the present invention;

[0068] Figure 4 The process for the energy storage alliance of the present invention to participate in the frequency regulation ancillary service market;

[0069] Figure 5 It is the overall flow chart of the control strategy of the present invention;

[0070] Figure 6 The dispatching plan and actual output curve diagram of wind farm 1, wind farm 2 and photovoltaic power station on a typical day of the present invention;

[0071] Figure 7 A dynamic frequency modulation signal diagram generated by the energy storage frequency modulation dispatch mechanism in the PJM market of the present invention;

[0072] Figure 8 Declare capacity diagram for frequency modulation of each station of the present invention;

[0073] Fig. 9 It is the winning capacity diagram of frequency modulation of each station of the present invention;

[0074] Fig.10 This is the energy storage output composition of each station under different scenarios of the present invention. DETAILED DESCRIPTION

[0075] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0076] Example:

[0077] Please refer to the attached Figure 1 The embodiment of the present invention provides a joint dispatching method for improving the energy storage utilization rate of new energy stations, comprising the following steps:

[0078] S1. Construct a coordinated optimization dispatching strategy for multiple wind-solar-storage systems;

[0079] S2. Propose the optimal control strategy for wind energy storage system;

[0080] S3. Propose a bidding, dispatching and settlement strategy for energy storage alliances to participate in the frequency regulation market.

[0081] Specifically, through step S1, the coordination efficiency of the energy storage system can be effectively improved, mainly by constructing a coordinated optimization scheduling strategy for multiple wind-solar-storage systems, achieving efficient coordination between different types of new energy resources and energy storage systems, and improving the operating efficiency of the overall system.

[0082] Optimize resource allocation: determine the joint operation mode of a single new energy station and multiple new energy stations to make resource allocation more reasonable and reduce resource waste.

[0083] The S1 step has the following effects:

[0084] Improve system stability: The coordinated operation of different new energy resources and energy storage systems enables the system to output electricity more smoothly, enhancing the stability of the power grid.

[0085] Reduce the rate of wind and solar power abandonment: By optimizing scheduling, wind power and photovoltaic power generation can be better utilized, reducing the phenomenon of wind and solar power abandonment and improving the utilization rate of new energy.

[0086] This step solves the following issues:

[0087] Low resource utilization: Traditional new energy sites often operate independently and cannot fully utilize the advantages of energy storage systems, resulting in low resource utilization.

[0088] The phenomenon of wind and solar power abandonment is serious: due to unreasonable scheduling, the utilization rate of wind power and photovoltaic power generation is insufficient, resulting in a large amount of renewable energy being wasted.

[0089] The specific solution for this step is as follows:

[0090] Operation mode of a single new energy station: The energy storage in the wind storage or solar storage system is mainly used to track the scheduling plan, supplemented by participating in the auxiliary frequency regulation service. The station control center combines the ultra-short-term predicted output of wind power or photovoltaic power, takes the maximum expected profit of the station as the goal, and determines the output power of the energy storage auxiliary scheduling plan at the current moment and the power reported for participating in the auxiliary frequency regulation service at the next moment.

[0091] Joint operation mode of multiple new energy sites: The energy storage alliance agent integrates the size and direction of the power reported by each energy storage, determines the final capacity reported by the frequency regulation auxiliary service market, and receives the frequency regulation instructions from the dispatching center during the frequency regulation dispatching stage and distributes the instructions to each energy storage.

[0092] Through step S2, the operation of the energy storage system is optimized, mainly through the rolling optimization control strategy and optimization operation model of the wind storage system, so as to improve the economy and operation efficiency of the energy storage system.

[0093] Improve revenue: Maximize the economic benefits of the energy storage system through refined management of the revenue and costs of the energy storage system.

[0094] This step has the following effects:

[0095] Improve the response speed and accuracy of the energy storage system: Real-time frequency regulation and dispatching strategy enables the energy storage system to quickly respond to the frequency regulation needs of the power grid and maintain the stability of the power grid frequency.

[0096] Extend the life of the energy storage system: Through refined management, the frequent charging and discharging of the energy storage system can be reduced, thus extending the service life of the energy storage system.

[0097] It solves the following problems:

[0098] Low utilization rate of energy storage system: Existing energy storage systems are mainly used to assist tracking and scheduling, and have low utilization rates.

[0099] Poor economic efficiency of energy storage system: Due to the high operating cost and low profit of energy storage system, it leads to poor economic efficiency and long payback period.

[0100] The specific solution for this step is as follows:

[0101] Wind-storage system rolling optimization control strategy: including the day-ahead power generation plan formulation stage, the intraday rolling optimization scheduling stage and the real-time frequency regulation scheduling stage. Through the model prediction control strategy, combined with the actual wind power output at the current moment and the next three moments, the ultra-short-term predicted output and the wind farm scheduling plan output, the decision-making energy storage auxiliary unit tracking scheduling plan power and the next moment energy storage participation in the frequency regulation auxiliary service market pre-declared power.

[0102] Optimal operation model of wind-storage system: Construct the benefit and cost model of wind-storage system, including grid-connected electricity benefit, frequency regulation capacity benefit and frequency regulation mileage benefit, energy storage life loss cost, energy loss cost and output deviation penalty cost, and impose conditional constraints on each objective function to ensure optimal operation.

[0103] Through step S3, the market revenue of the energy storage system is increased, mainly by participating in the frequency regulation market, improving the revenue of the energy storage system in the electricity market and shortening the payback period.

[0104] Improve the market competitiveness of energy storage systems: Through the energy storage alliance, enhance the competitiveness and voice of energy storage systems in the frequency regulation market.

[0105] This step has the following effects:

[0106] Maximize the frequency regulation benefits of energy storage systems: Through scientific and reasonable bidding strategies and scheduling strategies, the energy storage system can obtain the greatest economic benefits in the frequency regulation market.

[0107] Fair distribution of frequency regulation tasks: ensuring that each site within the energy storage alliance has equal opportunities for frequency regulation response, thus improving the frequency regulation effect of the overall system.

[0108] It solves the following problems:

[0109] The frequency regulation capability of a single station is limited: The frequency regulation capability of the energy storage system of a single new energy station is limited, making it difficult to obtain higher returns in the frequency regulation market.

[0110] Unreasonable distribution of revenue in the frequency regulation market: The revenue distribution mechanism in the frequency regulation market is imperfect, which makes it difficult to maximize the revenue of energy storage systems.

[0111] The specific solutions are as follows:

[0112] A bidding strategy that takes into account the maximization of alliance benefits is proposed: Based on the market mechanism of frequency regulation auxiliary services in the first 15 minutes, the energy storage alliance agent determines the bidding capacity during the bidding stage, using the smaller value of the sum of the upward frequency regulation power reported by each station and the sum of the downward frequency regulation power as the bidding capacity, and promptly notifies each station of the actual winning capacity.

[0113] Construct a dispatch strategy that takes into account equal frequency response opportunities at each station: During the response period, the energy storage alliance agents receive frequency regulation instructions from the dispatch center and allocate frequency regulation tasks in proportion to the upward and downward frequency regulation capacities actually bid for by each station, ensuring that each station has equal frequency response opportunities.

[0114] Build a settlement strategy based on the actual frequency response process of the site: Energy storage alliance agents settle revenues based on the actual frequency response of each site to ensure fair and reasonable revenue distribution.

[0115] Please refer to the attached Figure 2 , in step S1:

[0116] S1.1. Determine the operation mode of energy storage at a single new energy station;

[0117] S1.2. Determine the joint operation mode of multiple new energy stations.

[0118] In step S1.1, the operation mode of energy storage at a single renewable energy station is that the energy storage in the wind storage or solar storage system mainly follows the dispatching plan and participates in frequency regulation auxiliary services as a supplement;

[0119] The joint operation modes of multiple new energy stations in step S1.2 include:

[0120] The energy storage alliance agent will integrate the size and direction of each energy storage power application to determine the final capacity applied for in the frequency regulation auxiliary service market;

[0121] During the frequency regulation and dispatching phase, the energy storage alliance agents receive frequency regulation instructions from the dispatching center and distribute the instructions to each energy storage.

[0122] Specifically, the operating mode of energy storage at a single new energy station is as follows: the energy storage in the wind storage or solar storage system mainly tracks the scheduling plan and participates in frequency regulation auxiliary services as a supplement. The station control center combines the ultra-short-term predicted output of wind power or photovoltaic power, takes the maximum expected station profit as the goal, and determines the output power of the energy storage auxiliary scheduling plan at the current moment and the power reported for participating in the frequency regulation auxiliary service at the next moment.

[0123] Joint operation mode of multiple new energy stations; Energy Storage Alliance agents aim to maximize the declared capacity, integrate the size and direction of the power declared by each energy storage, and determine the final declared capacity of the frequency regulation auxiliary service market; Energy Storage Alliance agents directly receive the frequency regulation instructions from the dispatch center during the frequency regulation dispatch stage, and distribute the instructions to each energy storage, and settle according to the actual income after each dispatch cycle.

[0124] Based on the above two aspects of analysis, a collaborative optimization scheduling strategy for multiple wind-solar-storage systems is proposed, which takes into account energy storage to assist in tracking the scheduling plan and participate in frequency regulation. For renewable energy distribution stations, it can improve the energy storage utilization rate and the overall benefits of the stations; for regional power grids, it can reduce the wind and solar power abandonment rate and improve the stability of wind and solar power output and the frequency safety of the power grid.

[0125] Please refer to the attached Figure 3 In step S2, the optimal control strategy for wind energy storage system is proposed, including:

[0126] S2.1. Construct a rolling optimization control strategy for the wind-storage system;

[0127] S2.2. Construct an optimal operation model for the wind-storage system.

[0128] Specifically, in step S2.1, by rolling optimization control strategy, the energy storage system can dynamically adjust its operation according to the actual situation, thereby improving the utilization rate of the energy storage system. The optimization control strategy can better allocate the output power of the energy storage system and enhance the frequency regulation capability of the system.

[0129] The real-time frequency regulation and dispatching strategy in this step enables the energy storage system to quickly respond to the frequency regulation needs of the power grid and maintain the stability of the power grid frequency. The rolling optimization control can smooth the fluctuations of wind power and photovoltaic power generation, making the output of new energy stations more stable.

[0130] Resolved the following issues:

[0131] Energy storage system response lag: Traditional energy storage systems have slow response speeds and are difficult to adapt to frequently changing grid demands.

[0132] Low energy storage utilization rate: The utilization rate of existing energy storage systems is low and their frequency regulation function cannot be fully utilized.

[0133] The specific solution for this step is as follows:

[0134] Day-ahead power generation plan formulation stage: formulate the next day's power generation plan based on the day-ahead predicted output of the wind farm to ensure that the wind farm has a clear power generation target for the next day.

[0135] Intraday rolling optimization scheduling stage: In order to compensate for the deviation between the actual and planned wind power output every 15 minutes, based on the actual wind power output at the current moment, the ultra-short-term predicted output and the wind farm scheduling plan output, a rolling optimization control strategy based on model predictive control is adopted to decide the power of the energy storage auxiliary unit to track the scheduling plan at the current moment and the pre-declared power of the energy storage to participate in the frequency regulation auxiliary service market at the next moment.

[0136] Real-time frequency regulation and dispatching stage: In the real-time frequency regulation and dispatching stage, the energy storage system responds to the frequency regulation instructions issued by the energy storage alliance agents in real time, with a response cycle of 1 minute and a complete dispatch cycle of 15 minutes, ensuring that the energy storage system can quickly respond to grid demand.

[0137] In step S2.2, by constructing an optimized operation model for the wind energy storage system, we can find the best balance between revenue and cost and maximize economic benefits. The optimized operation model can reduce the frequent charging and discharging of the energy storage system and extend the service life of the equipment.

[0138] This step calculates the grid-connected electricity revenue, frequency regulation capacity revenue, and frequency regulation mileage revenue of the wind-storage system through the optimization model to ensure maximum system revenue. The optimization model also takes into account the life loss cost, energy loss cost, and output deviation penalty cost of the energy storage system to reduce operating costs.

[0139] Addresses the following issues:

[0140] Imbalance between benefits and costs: During the operation of traditional wind storage systems, it is difficult to find the best balance between benefits and costs, resulting in unsatisfactory economic benefits.

[0141] Short equipment life: Due to the lack of an optimized operating model, the energy storage system is frequently charged and discharged, resulting in a shortened equipment life.

[0142] The specific solution for this step is as follows:

[0143] Construction of objective function: The objective function of the wind-storage system optimization operation model includes the grid-connected power revenue, frequency regulation capacity revenue and frequency regulation mileage revenue, and the cost includes the energy storage life loss cost, energy loss cost and output deviation penalty cost. By constructing these objective functions and conditionally constraining each objective function, it is ensured that the wind-storage system maximizes revenue while reducing operating costs.

[0144] Model solution: Through mathematical optimization methods, the optimization operation model is solved to determine the optimal operation strategy of the wind storage system in each period, ensuring that the system can maximize benefits and minimize costs under different operating conditions.

[0145] The control effect evaluation indicators are as follows:

[0146] 1) Tracking scheduling performance indicators

[0147] In order to evaluate the performance of energy storage-assisted new energy unit tracking and dispatching plan, the tracking and dispatching plan performance indicators are constructed, specifically:

[0148]

[0149] In the formula, is the performance index of station i in tracking the dispatch plan, which represents the root mean square deviation between the actual network power of station i and the dispatch plan. The smaller the value, the better the ability to track the dispatch plan. is the dispatch deviation of station i in period t; T is the number of dispatches with a time step of 15 minutes, which is 96.

[0150] 2) Energy storage utilization index

[0151] In order to evaluate the effect of improving energy storage utilization, energy storage utilization index is constructed, specifically:

[0152]

[0153] In the formula, is the energy storage utilization rate of station i, which represents the ratio of the actual call mileage of energy storage i to the sum of the frequency regulation mileage under the maximum power output. The larger the value, the higher the utilization rate of the energy storage of station i. K is the number of dispatches with a time step of 1 minute, which is 1440.

[0154] The wind-storage system rolling optimization control strategy in step S2.1 includes:

[0155] S2.11, day-ahead power generation plan formulation stage;

[0156] S2.12, intraday rolling optimization scheduling stage;

[0157] S2.13, real-time frequency modulation scheduling stage.

[0158] The objective function of the wind-storage system optimization operation model in step S2.2 is as follows:

[0159] in, is the profit of wind-storage system i in the total number of the current rolling optimization period; T is the total number of the current rolling optimization period; and are the revenue and cost of wind-storage system i in period t respectively; and They are the grid-connected electricity revenue, frequency regulation capacity revenue and frequency regulation mileage revenue of wind-storage system i in period t respectively; and are the life loss cost and energy loss cost of the energy storage of wind storage system i in period t respectively; is the output deviation penalty cost of wind-storage system i in period t.

[0160] Specifically, the specific implementation of the above step S2 is as follows:

[0161] In step S2.1, the wind-storage system rolling optimization control strategy is as follows:

[0162] Taking the wind storage system as an example, the optimal control strategy of energy storage in new energy stations is explained. Without considering the formation method of the day-ahead power generation plan, the main research is on the optimal control of energy storage-assisted unit tracking scheduling and energy storage response frequency regulation scheduling in the real-time stage.

[0163] S2.11, Day-ahead power generation plan formulation stage: The wind farm's day-ahead predicted output is used as the wind farm's next-day power generation plan;

[0164] S2.12, Intraday rolling optimization dispatch stage: In order to compensate for the deviation between the actual wind power output and the planned wind power output every 15 minutes and the capacity declaration for participating in the frequency regulation auxiliary service market, based on the actual wind power output at the current moment, the ultra-short-term predicted output and the wind farm dispatch plan output, considering the energy storage charge state, with the goal of maximizing the expected profit of the wind storage system, a rolling optimization control strategy based on model predictive control is adopted, considering the current moment and the next three moments, to decide the power of the energy storage auxiliary unit tracking the dispatch plan at the current moment and the pre-declared power of the energy storage participating in the frequency regulation auxiliary service market at the next moment. That is, the winning capacity of the energy storage participating in the frequency regulation auxiliary service market at the current moment is determined by the previous moment, such as Figure 3 As shown in the right box diagram. The ultra-short-term predicted output of a wind farm is not the research content of this invention. For the convenience of analysis, the actual output of the wind farm is used as the ultra-short-term predicted output result of the wind farm;

[0165] S2.13, Real-time frequency regulation and dispatching stage: The energy storage real-time frequency regulation and dispatching stage is carried out simultaneously with the auxiliary tracking and dispatching plan stage, taking the output power of the energy storage auxiliary unit tracking and dispatching plan as the benchmark value, considering the energy storage output direction, rated power and charge state constraints in the same period, and the energy storage takes 1 minute as a response cycle and 15 minutes as a complete dispatching cycle, and responds in real time to the frequency regulation instructions issued by the energy storage alliance agent.

[0166] S2.2 Step Optimization Operation Model Construction of Wind-Storage System:

[0167] ①Objective function

[0168] The benefits of the wind storage system include grid-connected electricity benefits, frequency regulation capacity benefits and frequency regulation mileage benefits, and the costs include storage life loss costs, energy loss costs and output deviation penalty costs.

[0169] in, is the profit of wind-storage system i in the total number of the current rolling optimization period; T is the total number of the current rolling optimization period; and are the revenue and cost of wind-storage system i in period t respectively; and They are the grid-connected electricity revenue, frequency regulation capacity revenue and frequency regulation mileage revenue of wind-storage system i in period t respectively; and They are respectively the life loss cost and energy loss cost of the energy storage of wind storage system i in period t; is the output deviation penalty cost of wind-storage system i in period t.

[0170]

[0171] Among them, B C and B M They are the frequency regulation capacity price and the frequency regulation mileage price respectively; and K is the winning frequency regulation capacity and actual frequency regulation mileage of wind-storage system i in period t; i (t) is the frequency regulation performance of wind-storage system i during period t. Generally speaking, energy storage can respond quickly to frequency regulation instructions. The frequency regulation performance of wind-storage system i during period t can be simplified as a piecewise function related to energy storage SOC:

[0172]

[0173] Among them, SOC i (t) is the ratio of the remaining capacity of energy storage i to the fully charged capacity at the beginning of period t.

[0174]

[0175] in, and are the life loss caused by the energy storage assisting unit i of the wind-storage system in period t to track the dispatch plan and participate in frequency regulation; c o V is the energy storage life loss cost coefficient; t is the length of a single period; and are the upward frequency regulation power and downward frequency regulation power of energy storage i in period t respectively; β is the frequency regulation power coefficient, which means that for every 1MW of frequency regulation power provided by the energy storage, βMWh of energy will be charged (discharged) in actual operation.

[0176]

[0177] in, and They are respectively the charging and discharging energy loss costs of wind storage system i during period t; and are the charging and discharging efficiencies of energy storage i, respectively.

[0178]

[0179] in, The output of the unit scheduling plan for period t.

[0180] ②Constraints

[0181]

[0182] in, and are 0-1 variables for charging and discharging of energy storage i during period t, respectively; is the rated power of energy storage i.

[0183]

[0184] in, and are the minimum and maximum SOC of energy storage i respectively; SOC i (t) is the SOC of energy storage i in period t; SOC i (t-1) is the SOC of energy storage i in period t-1; VSOC i (t) is the SOC change of energy storage i during period t; is the rated capacity of energy storage i.

[0185]

[0186] in, and are the upper and lower limits of the combined power generation of wind-storage system i in period t; θ is the allowable scheduling deviation.

[0187]

[0188] Please refer to the attached Figure 4 In step S3, the energy storage alliance's bidding, dispatching and settlement strategies for participating in the frequency regulation market include:

[0189] S3.1. Propose a bidding strategy that takes into account the maximization of alliance benefits;

[0190] S3.2. Construct a dispatching strategy that takes into account equal opportunities for station frequency regulation response;

[0191] S3.3. Construct a settlement strategy based on the actual frequency modulation response process of the station.

[0192] Specifically, in step S3.1, the joint bidding strategy of each station within the alliance is used to ensure that the bidding capacity is maximized, thereby obtaining higher frequency regulation benefits. In addition, during the bidding process, the energy storage capacity and frequency regulation capabilities of each station are comprehensively considered to make resource allocation more reasonable.

[0193] This step improves the competitiveness of energy storage systems in the frequency regulation market through an alliance bidding strategy, obtains more market share, and maximizes overall economic benefits and promotes a rapid payback of energy storage systems by reasonably allocating frequency regulation tasks and revenues.

[0194] Resolved the following issues:

[0195] The bidding capacity of a single station is limited: the energy storage capacity and frequency regulation capability of a single station are limited, making it difficult to gain an advantage in the frequency regulation market.

[0196] Unreasonable bidding strategy: The existing bidding strategy lacks overall planning and insufficient resource utilization.

[0197] The specific solution for this step is as follows:

[0198] Determine the bidding capacity: Based on the market mechanism for frequency regulation ancillary services in the first 15 minutes, the energy storage alliance agent determines the bidding capacity during the bidding stage, using the smaller value of the sum of the upward frequency regulation power and the sum of the downward frequency regulation power reported by each site as the bidding capacity.

[0199] Notify each station of the actual winning bid capacity: After the energy storage alliance agent determines the bidding capacity for the response period, it will promptly notify each station in the alliance of the actual winning bid capacity so that each station can adjust its energy storage plan.

[0200] Determine the winning bid for equal-value bidirectional partial capacity: If the capacity declared by the station includes both upward frequency regulation power and downward frequency regulation power, priority will be given to ensuring that this part of the capacity wins the bid; the remaining capacity will be allocated based on actual conditions.

[0201] In step S3.2, the equal frequency response opportunity scheduling strategy is adopted to ensure that each station can fairly participate in the frequency regulation task and avoid idle resources. And the frequency regulation tasks are reasonably allocated to improve the frequency regulation response efficiency and effect of each station.

[0202] This step balances the frequency regulation tasks of each station, avoids overload of a single station, ensures stable system operation, and improves the overall frequency regulation capability and response speed of the energy storage system through reasonable scheduling.

[0203] Addresses the following issues:

[0204] Uneven distribution of frequency regulation tasks: In the existing frequency regulation strategy, the frequency regulation tasks are unevenly distributed, resulting in idle or overloaded resources at some stations.

[0205] Low response efficiency: Due to unreasonable allocation of frequency modulation tasks, the response efficiency of some stations is low, affecting the overall frequency modulation effect.

[0206] The specific solution for this step is as follows:

[0207] Receiving frequency modulation instructions: During the response period, energy storage alliance agents receive frequency modulation instructions issued by the dispatch center.

[0208] Allocate frequency regulation tasks: Energy storage alliance agents allocate frequency regulation tasks according to the proportion of upward frequency regulation capacity and downward frequency regulation capacity actually won by each station.

[0209] Calculate the frequency modulation tasks of the station: During the response period, the station calculates the specific frequency modulation tasks in proportion to the received frequency modulation instructions to ensure balanced distribution of frequency modulation tasks.

[0210] In step S3.3, the settlement strategy of the actual frequency regulation response process is used to accurately reflect the frequency regulation effect and contribution of each station, and based on the actual response situation, the frequency regulation income is reasonably allocated to ensure that each station obtains a fair economic return.

[0211] This step improves the enthusiasm of each station to participate in frequency modulation and the response quality through actual response settlement, and adjusts the frequency modulation strategy of each station according to the actual response situation to promote the optimal allocation of resources.

[0212] Addresses the following issues:

[0213] Imperfect settlement mechanism: The existing frequency regulation market settlement mechanism is imperfect and cannot accurately reflect the frequency regulation contribution of each station.

[0214] Unreasonable distribution of revenue: Due to the lack of scientific settlement strategies, the distribution of frequency modulation revenue is unreasonable, which affects the participation enthusiasm of various stations.

[0215] The specific solution for this step is as follows:

[0216] Settlement of frequency regulation revenue: Energy storage alliance agents settle revenue based on the actual frequency regulation response of each site to ensure that the settlement results are accurate and fair.

[0217] Calculate frequency regulation benefits: The frequency regulation benefits obtained by the energy storage alliance agents during period t, including frequency regulation capacity benefits and frequency regulation mileage benefits, are based on the frequency regulation performance of the energy storage alliance.

[0218] Distribute frequency regulation revenue: Energy storage alliance agents will reasonably distribute frequency regulation revenue based on the bid capacity and actual utilization of each site to ensure that each site receives a fair economic return.

[0219] Step S3.1 specifically includes the following steps:

[0220] S3.11. Determine the bidding capacity:

[0221] Based on the market mechanism for the first 15 minutes of frequency regulation ancillary services, energy storage alliance agents determine the bidding capacity during the bidding stage;

[0222] The smaller value of the sum of the upward frequency regulation power and the sum of the downward frequency regulation power declared by each station shall be used as the bidding capacity for participating in the frequency regulation auxiliary service market;

[0223] S3.12. Notify each station of the actual winning bid capacity:

[0224] After the energy storage alliance agent determines the bidding capacity for the response period, it will promptly notify each station in the alliance of the actual winning capacity;

[0225] Each station modifies the energy storage power reserved during the response period to respond to the frequency regulation task;

[0226] S3.13. Determine the winning bid for equal bidirectional partial capacity:

[0227] If the capacity reported by a station includes both upward frequency regulation power and downward frequency regulation power, it can directly participate in the frequency regulation auxiliary service market without joining the energy storage alliance;

[0228] When determining the actual winning capacity of each station within the alliance, priority will be given to ensuring that the equivalent two-way partial capacity of this type of station is awarded;

[0229] S3.14. Calculate the shortfall capacity and remaining capacity:

[0230] The shortfall is the capacity declared by the energy storage alliance agent during period t minus the sum of the winning bid capacities of each station;

[0231] The remaining available upward and downward power after deducting the capacity that must be awarded from the declared capacity of each station in the alliance;

[0232] S3.15. Determine the actual winning bid capacity:

[0233] The actual winning bid capacity of station i within the alliance during period t includes both upward frequency regulation capacity and downward frequency regulation capacity.

[0234] Specifically, based on the first 15 minutes of frequency regulation ancillary service market mechanism, energy storage alliance agents need to determine the bidding capacity during the bidding stage. In order to obtain the maximum frequency regulation ancillary service revenue and meet the basic market access conditions, energy storage alliance agents use the smaller value of the sum of the upward frequency regulation power and the sum of the downward frequency regulation power reported by each station as the bidding capacity for participating in the frequency regulation ancillary service market. After integrating the reported capacity of each station, the energy storage alliance agent's reported capacity for participating in the frequency regulation market during period t is:

[0235]

[0236] In the formula, C bid (t) is the bidding capacity of energy storage alliance agents participating in the frequency regulation ancillary service market during period t; I is the number of stations participating in the energy storage alliance.

[0237] After the energy storage alliance agent determines the bid capacity for the response period, it is necessary to promptly notify each station in the alliance of the actual winning capacity so that each station can modify the energy storage power reserved during the response period to respond to the frequency regulation task, thereby improving the ability of the energy storage auxiliary units in the station to track the output of the scheduling plan. The stations within the energy storage alliance are in a cooperative and competitive relationship. If the capacity reported by the station includes both upward frequency regulation power and downward frequency regulation power, it can also directly participate in the frequency regulation auxiliary service market without joining the energy storage alliance. Therefore, when determining the actual winning capacity of each station within the alliance, priority should be given to ensuring that the equivalent two-way partial capacity of this type of station is awarded. To facilitate scheduling, the winning capacity of the stations in the alliance that only report one-way frequency regulation power and the remaining reported power of the above-mentioned types of stations shall be determined according to the minimum number of participants.

[0238] If the capacity declared by the station includes both upward frequency modulation power and downward frequency modulation power, the equivalent bidirectional partial capacity of the station will definitely win the bid, otherwise the station will definitely win the bid capacity of zero. The details are as follows:

[0239]

[0240] In the formula, is the inevitable winning capacity of station i in period t, including upward frequency regulation power and downward frequency regulation power.

[0241] The shortfall capacity after deducting the sum of the winning bid capacities of each station from the declared capacity of the energy storage alliance agent in period t is:

[0242]

[0243] In the formula, The sum of the frequency regulation capacities that need to be provided by each station within the alliance, including upward frequency regulation power and downward frequency regulation power.

[0244] After deducting the winning capacity from the declared capacity of each station in the alliance, the remaining available upward and downward power is:

[0245]

[0246] In order to ensure that the energy storage alliance has the least number of participants in each frequency regulation dispatch period, the remaining available upward frequency regulation power and downward frequency regulation power of each station in the alliance are arranged in descending order, and summed up from top to bottom until the sum of the upward frequency regulation power and the sum of the downward frequency regulation power of the selected station meet the shortfall capacity. At this point, part or all of the remaining capacity of the selected station is awarded, and the remaining capacity of the remaining stations is not awarded.

[0247] The actual winning capacity of station i in the alliance during period t is:

[0248]

[0249] In the formula, is the upward frequency regulation capacity of station i that won the bid in period t; is the downward frequency regulation capacity of station i that won the bid in period t; The winning portion of the remaining upward frequency-adjustable power of station i during period t; It is the winning part of the remaining downward frequency-adjustable power of station i in period t.

[0250] Step S3.2 specifically includes the following steps:

[0251] S3.21, receiving frequency modulation instructions:

[0252] During the response period, the energy storage alliance agent receives the frequency regulation instructions issued by the dispatch center;

[0253] S3.22, Allocate frequency modulation tasks:

[0254] The energy storage alliance agent allocates frequency regulation tasks in proportion to the upward frequency regulation capacity and downward frequency regulation capacity actually won by each station;

[0255] S3.23. Calculate station frequency modulation tasks:

[0256] The frequency regulation task that station i needs to undertake during the j-th frequency regulation dispatch in period t is allocated proportionally based on the frequency regulation instructions received by the energy storage alliance agents.

[0257] Specifically, during the response period, the energy storage alliance agent receives the frequency regulation instruction issued by the dispatch center, and allocates the frequency regulation task in proportion to the upward frequency regulation capacity and downward frequency regulation capacity actually won by each station. The frequency regulation task that station i needs to undertake during the jth frequency regulation dispatch in period t is:

[0258]

[0259] in, The frequency modulation task that station i needs to undertake during the j-th frequency modulation dispatch in period t; is the frequency modulation instruction received by the energy storage alliance agent for the jth time in period t

[0260] Step S3.3 specifically includes the following steps:

[0261] S3.31. Settlement of frequency modulation income:

[0262] Energy storage alliance agents serve as a hub between the frequency regulation auxiliary service market and stations, and settlement is carried out based on the actual response of energy storage alliance agents;

[0263] S3.32. Calculate the frequency modulation benefit:

[0264] The frequency regulation benefits obtained by the energy storage alliance agents during period t include frequency regulation capacity benefits and frequency regulation mileage benefits, based on the frequency regulation performance of the energy storage alliance;

[0265] S3.33. Distribution of frequency modulation revenue:

[0266] Energy storage alliance agents distribute frequency regulation revenue based on the winning bid capacity and actual usage of each site.

[0267] Specifically, the energy storage alliance agent acts as a hub between the frequency regulation auxiliary service market and the station. The market settles according to the actual response of the energy storage alliance agent. The frequency regulation income obtained by the energy storage alliance agent in time period t is:

[0268]

[0269] Among them, R C (t) is the frequency regulation capacity revenue of the energy storage alliance agent in period t; R M (t) is the frequency regulation mileage income of the energy storage alliance agent in period t; K(t) is the frequency regulation performance of the energy storage alliance in period t, taking the average of the frequency regulation performance of the stations in the alliance; J is the number of frequency regulation dispatches in period t.

[0270] The energy storage alliance agent distributes the frequency regulation revenue based on the bid capacity and actual call situation of each station, without considering the cost sharing. The frequency regulation revenue of station i in time period t is:

[0271]

[0272] in, is the frequency regulation capacity benefit of station i during period t; is the frequency regulation mileage revenue of station i during period t.

[0273] Please refer to the attached Figure 6 -Attached Fig.10 The present invention proposes a multi-wind-solar-storage system coordinated optimization scheduling strategy and builds a bidding-scheduling-settlement mechanism for energy storage alliances to participate in the frequency regulation market. This strategy aims to optimize the scheduling plans of wind farms and photovoltaic power stations, improve the utilization rate and frequency regulation capabilities of energy storage systems, and achieve efficient collaboration between new energy sites and power grids.

[0274] In order to verify the effectiveness of the proposed strategy, this paper conducts a series of experimental studies based on the power generation data of a domestic wind farm and photovoltaic power station. During the experiment, by comparing the scheduling plan and actual output of each new energy station, the performance of the energy storage system in assisting tracking scheduling plans and participating in frequency regulation auxiliary services is analyzed, and the actual effect of the strategy is evaluated. The specific experimental contents are as follows:

[0275] Purpose

[0276] The effectiveness of the proposed multi-wind-solar-storage system collaborative optimization scheduling strategy is verified. Through the power generation data of a domestic wind farm and photovoltaic power station, the performance of the energy storage system in assisting tracking scheduling plans and participating in frequency regulation auxiliary services is evaluated, proving the actual effect of the strategy on improving energy storage utilization and economic benefits.

[0277] Experimental procedures

[0278] Data preparation:

[0279] Collect power generation data of wind farm 1, wind farm 2, and photovoltaic power station on a typical day.

[0280] Refer to the dynamic frequency regulation signal generated by the energy storage frequency regulation dispatch mechanism in the PJM market.

[0281] Scheduling plan and actual output analysis:

[0282] Draw the dispatching plan and actual output curves of wind farm 1, wind farm 2 and photovoltaic power station (such as Figure 6 shown).

[0283] Analyze the deviation between the scheduling plan and actual output, and evaluate the accuracy of the existing scheduling strategy.

[0284] Energy storage system frequency regulation auxiliary service declaration:

[0285] The energy storage system within the station assists in tracking the dispatch plan and participates in frequency regulation auxiliary services in the form of an alliance.

[0286] Each station reports its frequency regulation capacity to the energy storage alliance agent (such as Figure 8 shown).

[0287] The energy storage alliance agent integrates the frequency regulation capacity reported by each station in each period and calculates the winning capacity (such as Fig. 9 shown).

[0288] Analysis of actual output of energy storage system:

[0289] The actual output of energy storage systems at each station under different scenarios is analyzed, including the power of assisting new energy units to track the dispatch plan and participate in frequency regulation auxiliary services (such as Fig.10 shown).

[0290] Compare the differences between the actual output of the energy storage system and the expected dispatch plan in each scenario.

[0291] Experimental summary:

[0292] 1. Comparison between scheduling plan and actual output:

[0293] from Figure 6The results show that there is a large deviation between the actual output of wind farm 1 and wind farm 2 and the dispatch plan, especially the fluctuation of wind farm 2 is more obvious. The actual output of the photovoltaic power station is relatively stable and consistent with the dispatch plan. This shows that the output forecast and dispatch plan of the wind farm need to be further optimized.

[0294] 2. Frequency regulation ancillary service application and bidding capacity analysis:

[0295] Figure 8 Displays the frequency regulation capacity declared by each station. Fig. 9 The winning bid capacity after integration by the energy storage alliance agents was displayed. The results show that through the integration of the energy storage alliance, the frequency regulation capacity of each station can better match the market demand, improving the overall winning bid rate and market competitiveness.

[0296] 3. Analysis of actual output of energy storage system:

[0297] Fig.10 The actual output of the energy storage system in different scenarios was demonstrated. The results showed that the energy storage system performed well in assisting the new energy units to track the dispatch plan and participate in the frequency regulation auxiliary service, and could effectively balance the fluctuations of the new energy output and provide stable frequency regulation support.

[0298] Experimental summary:

[0299] The experiment verifies the effectiveness of the proposed strategy. The coordinated optimization scheduling strategy of multiple wind-solar-storage systems can significantly improve the utilization rate of the energy storage system, reduce the volatility of renewable energy power generation, and improve the stability and economic benefits of the system.

[0300] The frequency regulation auxiliary service mechanism of the Energy Storage Alliance has enhanced the competitiveness of each station in the frequency regulation market, optimized resource allocation, and improved the overall frequency regulation effect through reasonable declaration and integration strategies.

[0301] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A joint dispatching method for improving energy storage utilization rate of new energy stations, characterized in that: The following steps are involved: S1. Construct a coordinated optimization dispatching strategy for multiple wind-solar-storage systems; S2. Propose the optimal control strategy for wind energy storage system; The optimal control strategy for wind energy storage system proposed in step S2 includes: S2.

1. Construct a rolling optimization control strategy for the wind-storage system; The wind-storage system rolling optimization control strategy in step S2.1 includes: S2.11, day-ahead power generation plan formulation stage; S2.12, intraday rolling optimization scheduling stage; S2.13, real-time frequency modulation and dispatching stage; S2.

2. Construct an optimal operation model for the wind-storage system; The objective function of the wind-storage system optimization operation model in step S2.2 is as follows: in, is the profit of wind-storage system i in the total number of the current rolling optimization period; T is the total number of the current rolling optimization period; and are the revenue and cost of wind-storage system i in period t respectively; and They are the grid-connected electricity revenue, frequency regulation capacity revenue and frequency regulation mileage revenue of wind-storage system i in period t respectively; and They are respectively the life loss cost and energy loss cost of the energy storage of wind storage system i in period t; is the output deviation penalty cost of wind-storage system i during period t; S3. Propose a bidding, dispatching and settlement strategy for energy storage alliances to participate in the frequency regulation market; The bidding, dispatching and settlement strategies proposed in step S3 include: S3.

1. Propose a bidding strategy that takes into account the maximization of alliance benefits; S3.

2. Construct a dispatching strategy that takes into account equal opportunities for station frequency regulation response; S3.

3. Construct a settlement strategy based on the actual frequency modulation response process of the station.

2. A joint dispatching method for improving energy storage utilization rate of new energy stations according to claim 1, characterized in that: In the step S1: S1.

1. Determine the operation mode of energy storage at a single new energy station; S1.

2. Determine the joint operation mode of multiple new energy stations.

3. A joint dispatching method for improving energy storage utilization rate of new energy stations according to claim 2, characterized in that: The operation mode of the energy storage at a single new energy station in step S1.1 is that the energy storage in the wind storage or solar storage system mainly follows the scheduling plan and participates in the frequency regulation auxiliary service as a supplement; The joint operation mode of multiple new energy stations in step S1.2 includes: The energy storage alliance agent will integrate the size and direction of each energy storage power application to determine the final capacity applied for in the frequency regulation auxiliary service market; During the frequency regulation and dispatching phase, the energy storage alliance agents receive frequency regulation instructions from the dispatching center and distribute the instructions to each energy storage.

4. A joint dispatching method for improving energy storage utilization rate of new energy stations according to claim 1, characterized in that: The step S3.1 specifically includes the following steps: S3.

11. Determine the bidding capacity: Based on the market mechanism for the first 15 minutes of frequency regulation ancillary services, energy storage alliance agents determine the bidding capacity during the bidding stage; The smaller value of the sum of the upward frequency regulation power and the sum of the downward frequency regulation power declared by each station shall be used as the bidding capacity for participating in the frequency regulation auxiliary service market; S3.

12. Notify each station of the actual winning bid capacity: After the energy storage alliance agent determines the bidding capacity for the response period, it will promptly notify each station in the alliance of the actual winning capacity; Each station modifies the energy storage power reserved during the response period to respond to the frequency regulation task; S3.

13. Determine the winning bid for equal bidirectional partial capacity: If the capacity reported by a station includes both upward frequency regulation power and downward frequency regulation power, it can directly participate in the frequency regulation auxiliary service market without joining the energy storage alliance; When determining the actual winning capacity of each station within the alliance, priority will be given to ensuring that the equivalent two-way partial capacity of the station of this type is won; S3.

14. Calculate the shortfall capacity and remaining capacity: The shortfall is the capacity declared by the energy storage alliance agent during period t minus the sum of the winning bid capacities of each station; The remaining available upward and downward power after deducting the capacity that must be awarded from the declared capacity of each station in the alliance; S3.

15. Determine the actual winning bid capacity: The actual winning bid capacity of station i within the alliance during period t includes both upward frequency regulation capacity and downward frequency regulation capacity.

5. A joint dispatching method for improving energy storage utilization rate of new energy stations according to claim 1, characterized in that: The step S3.2 specifically includes the following steps: S3.21, receiving frequency modulation instructions: During the response period, the energy storage alliance agent receives the frequency regulation instructions issued by the dispatch center; S3.22, assign frequency modulation tasks: The energy storage alliance agent allocates frequency regulation tasks in proportion to the upward frequency regulation capacity and downward frequency regulation capacity actually won by each station; S3.

23. Calculate station frequency modulation tasks: The frequency regulation task that station i needs to undertake during the j-th frequency regulation dispatch in period t is allocated proportionally based on the frequency regulation instructions received by the energy storage alliance agents.

6. A joint dispatching method for improving energy storage utilization rate of new energy stations according to claim 1, characterized in that: The step S3.3 specifically includes the following steps: S3.

31. Settlement of frequency modulation income: Energy storage alliance agents serve as a hub between the frequency regulation auxiliary service market and stations, and settlement is carried out based on the actual response of energy storage alliance agents; S3.

32. Calculate the frequency modulation benefit: The frequency regulation benefits obtained by the energy storage alliance agents during period t include frequency regulation capacity benefits and frequency regulation mileage benefits, based on the frequency regulation performance of the energy storage alliance; S3.

33. Distribution of frequency modulation revenue: Energy storage alliance agents distribute frequency regulation revenue based on the winning bid capacity and actual usage of each site.

Images