Shared energy storage operation method based on power plant energy storage rental service and ancillary service

Abstract

The present application relates to a kind of based on power station energy storage leasing service and auxiliary service shared energy storage operation method, this method first, according to the total demand of matching energy storage and lease income of energy storage capacity of new energy power station lease;Then, according to the actual operation demand of new energy power station, the redundant capacity of matching energy storage is calculated;Second, according to the redundant capacity of matching energy storage, the effective capacity of shared energy storage power station participating in auxiliary service of power grid and auxiliary income are calculated;Finally, with the maximum target of lease income and auxiliary income, the energy storage capacity of new energy power station lease is adjusted, and the optimal shared energy storage operation mode is obtained, which can assist shared energy storage operator to formulate the proportion of its own to new energy power station lease capacity according to market situation, to ensure the maximization of its own operation benefit.

Description

Technical Field

[0001] This invention relates to a shared energy storage operation method based on power plant energy storage leasing services and ancillary services, belonging to the technical field of new energy power plant energy storage operation mode selection. Background Technology

[0002] With the large-scale construction and grid connection of new energy power plants, the volatility of new energy output has become an issue that cannot be ignored.

[0003] However, policies supporting energy storage for new energy sources have become the biggest driving force for energy storage on the power generation side. The requirement for energy storage to be built alongside distributed new energy sources in various regions has significantly increased the construction and operation costs of new energy sources, weakening the enthusiasm of new energy builders. Secondly, the configured energy storage is often redundant, resulting in huge resource waste. Thirdly, the operation mode and local absorption capacity of the power grid system change in real time. When constructing power plants, uniformly configuring distributed energy storage facilities according to a certain proportion inherently suffers from inflexibility and lower overall utilization compared to centralized energy storage on the grid side. Moreover, unbalanced power output between power plants is common, and a buffering and regulating capacity similar to a 'reservoir' can naturally form within the power grid system. Forcing energy storage configuration at the power plant end results in huge resource waste.

[0004] Therefore, for energy storage construction operators, they can obtain some revenue by leasing part of the capacity to new energy power plants, that is, by using the shared energy storage model, and then use the redundant energy storage capacity to participate in the daily grid auxiliary services, thus achieving a win-win situation.

[0005] Patent 202111352733.8 discloses a multilateral shared energy storage optimization configuration and its cost allocation method. This invention configures energy storage according to the total demand of distributed new energy sources in multiple microgrids. However, this invention mainly focuses on the calculation method and cost allocation method of energy storage configuration demand under known new energy capacity, and cannot maximize operational efficiency. Summary of the Invention

[0006] In order to solve the problems existing in the prior art, the present invention provides a shared energy storage operation decision that maximizes benefits by adjusting the ratio of leasing and participation in ancillary services.

[0007] To achieve the above objectives, the technical solution proposed by this invention is: a shared energy storage operation method based on power plant energy storage leasing services and ancillary services, comprising the following steps:

[0008] S1, based on the energy storage capacity P leased from the new energy power station i Determine the overall demand and leasing revenue C for supporting energy storage. rent ;

[0009] S2. Calculate the redundancy capacity of the supporting energy storage based on the actual operating requirements of the new energy power station.

[0010] S3. Calculate the effective capacity and revenue of the shared energy storage power station participating in grid ancillary services based on the redundancy capacity of the supporting energy storage. Auxiliary ;

[0011] S4, with maxC rent +C Auxiliary Let P be the objective function, and let P be the energy storage capacity P leased from the new energy power station. i This leads to the optimal shared energy storage operation model.

[0012] In step S1, the overall energy storage requirement P for the new energy power station is... rent for:

[0013]

[0014] The rental income is:

[0015] C rent =ΔC rent P rent ,

[0016] Where, ΔC rent It is the annual rental fee for shared energy storage per unit capacity.

[0017] The method for calculating the redundancy capacity of the supporting energy storage in step S2 is as follows:

[0018] S2-1. Calculate the maximum fluctuation rate I of the power output of the new energy power station during the observation period T. f,T,i ,

[0019]

[0020] In the formula, M i Indicates the rated capacity of the new energy power plant; I f,T,i Let p1 be the maximum fluctuation rate of the output of the renewable energy power plant within time period T, and p2 be the sampling time points within time period T. n To provide power to the new energy power stations at each sampling point;

[0021] S2-2, Calculation satisfies At that time, the actual energy storage capacity required by the new energy power station

[0022]

[0023] In the formula, I f,, To account for the output volatility of new energy power plants that utilize shared energy storage, P represents the maximum permissible volatility for a new energy power plant. iTo meet the energy storage capacity required when the allowable volatility of new energy power plants is met;

[0024] S2-3. If the actual demand capacity is less than the leased capacity, then the redundancy capacity of the shared energy storage is ΔP. rent =P i -P i If the actual demand capacity is greater than or equal to the leased capacity, then the shared energy storage redundancy capacity is ΔP. rent =0.

[0025] In step S3, the effective capacity P of the shared energy storage power station participating in grid ancillary services is... Auxiliary for:

[0026] P Auxiliary =P0-P rent +ΔP rent

[0027] In the formula, P0 is the maximum energy storage capacity of the shared energy storage provider;

[0028] The profit is:

[0029] C Auxiliary =C peak +C difference

[0030] C peak =D peak *ΔC peak *P Auxiliary *h

[0031] C difference =D difference *ΔC difference *P Auxiliary *h

[0032] Among them, C Auxiliary For the total annual revenue of shared energy storage participating in ancillary services, C peak For the annual revenue from participating in peak shaving ancillary services, ΔC peak For the revenue per kilowatt-hour from participating in peak-shaving ancillary services, D peak C represents the number of days spent participating in peak-shaving ancillary services. difference To participate in the annual revenue from selling electricity at peak and off-peak prices, ΔC difference To participate in the peak-valley price difference in electricity sales revenue per kilowatt-hour, D difference The number of days for participating in peak-valley price difference electricity sales, where h represents the number of hours for shared energy storage.

[0033] The beneficial effects of this invention are as follows:

[0034] The shared energy storage operation method of the present invention firstly assists shared energy storage operators in determining the proportion of capacity they lease from new energy power plants based on market conditions, thereby maximizing their own operational benefits; secondly, it can make full use of the idle capacity of leased energy storage, which can not only meet the energy storage requirements of new energy power plants, but also further provide auxiliary services to the power system, greatly reducing the waste of energy storage resources. Attached Figure Description

[0035] Figure 1 This is a flowchart of the present invention;

[0036] Figure 2 A schematic diagram illustrating the relationship between different capacity attributes of shared energy storage. Detailed Implementation

[0037] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments.

[0038] Example

[0039] like Figure 1 As shown in the figure, the shared energy storage operation method based on power plant energy storage leasing services and ancillary services in this embodiment includes the following steps:

[0040] S1. Determine the overall demand and leasing revenue for energy storage supporting multiple new energy power plants;

[0041] Taking several new energy power plants in Guangzhou as an example, the total rated capacity of these power plants is 350MW. According to the local requirement of 10% energy storage allocation, the total energy storage capacity that these new energy power plants need to lease is 35MW / 2h.

[0042] The average cost of shared energy storage leasing in this region is 500 yuan / kW, therefore the annual revenue from the leasing service is:

[0043] C rent =ΔC rent P rent = 500 yuan / kW * 35MW = 17.5 million yuan

[0044] S2. Calculate the redundancy capacity of the supporting energy storage based on the actual operating requirements of the new energy power station. Figure 2 A schematic diagram illustrating the relationship between different capacity attributes of shared energy storage;

[0045] The actual demand for shared energy storage is determined based on the historical operating data of the new energy power plants. The actual demand refers to the energy storage capacity required to smooth out the output fluctuations of the new energy power plants and make them meet the requirements. The steps are as follows: For each new energy power plant i, the following steps are performed for calculation:

[0046] S2-1. Calculate the maximum fluctuation rate I of the power output of the new energy power station during the observation period T. f,T,i for

[0047]

[0048] In the formula, M i Indicates the rated capacity of the new energy power plant; I f,T,i Let p1 be the maximum fluctuation rate of the output of the renewable energy power plant within time period T, and p2 be the sampling time points within time period T. n It provides power to the new energy power stations at each sampling point.

[0049] S2-2, Calculation satisfies At that time, the actual energy storage capacity required by the new energy power station

[0050]

[0051] In the formula, I f,T,i To account for the output volatility of new energy power plants that utilize shared energy storage, P represents the maximum permissible volatility for a new energy power plant. i This refers to the energy storage capacity required to meet the allowable volatility of new energy power plants.

[0052] The total energy storage capacity required to meet the allowable volatility of new energy power plants is found to be 30MW.

[0053] S2-3. If the actual demand capacity is less than the leased capacity, then the redundancy capacity ΔP of the shared energy storage... rent = for P i -P i If the actual demand capacity is greater than or equal to the leased capacity, then the shared energy storage redundancy capacity is ΔP. rent =0.

[0054] Therefore, the redundant capacity of the shared energy storage is 5MW.

[0055] S3. Calculate the effective capacity and revenue of shared energy storage power stations participating in grid ancillary services;

[0056] The effective capacity P of shared energy storage power stations participating in grid ancillary services Auxiliary for;

[0057] P Auxiliary P0-P rent +ΔP rent

[0058] In the formula, P0 is the maximum energy storage capacity of the shared energy storage provider, which is 50MW / 2h.

[0059] Effective capacity P participating in grid ancillary services Auxiliary It is 20MW / 2h.

[0060] The corresponding method for calculating the revenue is as follows:

[0061] C Auxiliary =C peak +C difference

[0062] C peak =D peak *ΔC peak *P Auxiliary *h

[0063] C difference =D difference *ΔC difference *P Auxiliary *h

[0064] Among them, C Auxiliary For the total annual revenue of shared energy storage participating in ancillary services, C peak For the annual revenue from participating in peak shaving ancillary services, ΔC peak For the revenue per kilowatt-hour from participating in peak-shaving ancillary services, D peak C represents the number of days spent participating in peak-shaving ancillary services. difference To participate in the annual revenue from selling electricity at peak and off-peak prices, ΔC difference To participate in the peak-valley price difference in electricity sales revenue per kilowatt-hour, D difference The number of days for participating in peak-valley price difference electricity sales, where h represents the number of hours for shared energy storage.

[0065] 1) Daily peak shaving revenue

[0066] The daily electricity consumption can be reduced by 20MW*2h = 40MWh. Based on the specific compensation standard of 0.05 million yuan / MWh, the daily compensation cost is:

[0067] Deep peak shaving cost = 40MWh * 0.05 million yuan / MWh = 20,000 yuan

[0068] 2) Daily electricity sales revenue

[0069] Energy storage operates on a peak-hour discharge basis and off-peak-hour charging basis, with a comprehensive price difference of 0.6 yuan / kWh. Assuming all stored electricity can be sold during peak hours and the charging / discharging efficiency is 80%, the daily revenue from electricity sales would be:

[0070] Electricity sales revenue = 20MW * 2h * 0.6 yuan / kWh * 0.8 = 19,200 yuan

[0071] 3) Annual income

[0072] Assuming a year has 300 days, and using a strategy of low deposits and high withdrawals, the annual return would be:

[0073] Annual profit = (2 + 1.92) * 300 = 11.76 million yuan

[0074] S4. Adjust the energy storage capacity P of the leased new energy power station. i This means adjusting the ratio of shared capacity to remaining capacity to obtain greater benefits.

[0075] The objective function is

[0076] max C rent +C Auxiliary

[0077] At this point, the total revenue from both parts is maximized to 17.5 million + 11.76 million = 29.26 million yuan, corresponding to the energy storage capacity P leased from the new energy power station. i This is the optimal shared energy storage operation strategy.

[0078] This embodiment increases the effective capacity of energy storage to participate in ancillary services by calculating the redundant capacity of the leased energy storage portion. Using this mechanism, the overall revenue of energy storage operators can be maximized while ensuring the energy storage needs of new energy power plants are met.

[0079] The technical solutions of the present invention are not limited to the above embodiments. All technical solutions obtained by equivalent substitution fall within the scope of protection claimed by the present invention.

Claims

1. A shared energy storage operation method based on power plant energy storage leasing services and ancillary services, characterized in that, Includes the following steps: S1. Based on the energy storage capacity leased from the new energy power station. Determine the overall demand and leasing revenue for supporting energy storage. ; S2. Calculate the redundancy capacity of the supporting energy storage based on the actual operating requirements of the new energy power station. The method for calculating the redundancy capacity of the supporting energy storage is as follows: S2-1. Calculate the maximum fluctuation rate of power output from the new energy power plant during the observation period T. , ； In the formula, Indicates the rated capacity of the new energy power plant; Let T represent the maximum fluctuation rate of the power output of the renewable energy power plant within time period T, and let 1~n represent the sampling time points within time period T. To provide power to the new energy power stations at each sampling point; S2-2, Calculation satisfies At that time, the actual energy storage capacity required by the new energy power station ； In the formula, To account for the output volatility of new energy power plants that utilize shared energy storage, The maximum allowable volatility for new energy power plants. To meet the energy storage capacity required when the volatility of new energy power plants is allowed; S2-3. If the actual demand capacity is less than the leased capacity, then the redundancy capacity of the shared energy storage is: ; If the actual demand capacity is greater than or equal to the leased capacity, then the shared energy storage redundancy capacity is: ; S3. Calculate the effective capacity and revenue of the shared energy storage power station participating in grid ancillary services based on the redundancy capacity of the supporting energy storage. ; S4, with The objective function is to adjust the energy storage capacity leased from the new energy power plant. This leads to the optimal shared energy storage operation model.

2. The shared energy storage operation method based on power station energy storage leasing services and ancillary services according to claim 1, characterized in that, In step S1, the overall demand for energy storage supporting new energy power plants is... for: ； The rental income is: ； in, It is the annual rental fee for shared energy storage per unit capacity.

3. The shared energy storage operation method based on power station energy storage leasing services and ancillary services according to claim 2, characterized in that, In step S3, the effective capacity of the shared energy storage power station participating in grid ancillary services for: ; In the formula, The maximum energy storage capacity for shared energy storage providers; The profit is: ； ； ； in, The total annual revenue for shared energy storage participating in ancillary services, For the annual revenue from participating in peak shaving ancillary services, For the revenue per kilowatt-hour from participating in peak-shaving ancillary services, For the number of days participating in peak shaving ancillary services, To participate in the annual revenue from selling electricity at peak and off-peak prices, To participate in the peak-valley price difference in electricity sales revenue per kilowatt-hour, The number of days for which electricity is sold at the peak-valley price difference. The number of hours for shared energy storage.

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