A method and system for calculating energy storage capacity considering peak regulation and new energy consumption

Abstract

The application provides a kind of energy storage capacity calculation method and system considering peak regulation and new energy consumption, comprising: calculating the transmission line sending power based on the characteristic data of the obtained cross-regional sending end power grid, receiving end power grid and transmission line, and constructing a constraint curve based on the transmission line sending power;Based on the constraint curve and the obtained sending end power grid, receiving end power grid power installed capacity and source network load characteristics, simulation is carried out by using new energy production simulation software, the energy storage capacity of sending end power grid and / or charge-discharge hours are adjusted until the new energy utilization rate of sending end power grid reaches the target value;The energy storage capacity of the sending end power grid when the new energy utilization rate of the sending end power grid reaches the target value is used as the planning energy storage capacity that meets the new energy consumption requirement.The two effective consumption means of energy storage to improve the flexibility of regional power grid and cross-regional power transmission to realize large-scale power and energy balance are comprehensively applied, which is a solution to the challenges and risks faced by new power system.

Description

Technical Field

[0001] This invention relates to the field of energy utilization technology, specifically to a method and system for calculating energy storage capacity that takes into account peak shaving and new energy consumption. Background Technology

[0002] With the formation of regional high-proportion renewable energy power systems, the intermittency and volatility of renewable energy generation not only pose challenges to the safe and stable operation of the power system but may even affect the reliability of power supply. The future new power system, dominated by renewable energy, will face the challenge and risk of both "curtailment" during periods of high renewable energy generation and "power shortage" during periods of low generation. Besides the issue of coal supply, insufficient renewable energy generation capacity is also a significant factor contributing to power rationing. Solving this problem requires, on the one hand, a broader balance of power generation, not just within a region but also across regions through ultra-high-voltage (UHV) transmission; on the other hand, energy storage will become an indispensable and crucial component of the future renewable energy-dominated power system. To this end, many policies have been introduced to actively promote the development of energy storage, and energy storage planning has become a research hotspot. However, these studies mainly focus on renewable energy power plants or specific regions, without considering the characteristics of UHV transmission and the need for broader balance. Summary of the Invention

[0003] To address the issue of power balance over a wider area and promote the integration of renewable energy sources, a method for calculating energy storage capacity that considers peak shaving and renewable energy integration is proposed, including:

[0004] The transmitted power of the transmission lines is calculated based on the acquired characteristic data of the cross-regional sending-end power grid, receiving-end power grid, and transmission lines, and a constraint curve is constructed based on the transmitted power of the transmission lines.

[0005] Based on the constraint curve and the obtained power generation capacity and source-grid-load characteristics of the sending-end grid and receiving-end grid, simulation is performed using new energy production simulation software to adjust the energy storage capacity and / or charge-discharge hours of the sending-end grid until the new energy utilization rate of the sending-end grid reaches the target value.

[0006] The energy storage capacity of the sending-end power grid when the renewable energy utilization rate reaches the target value is taken as the planned energy storage capacity to meet the renewable energy consumption requirements.

[0007] Preferably, the step of calculating the transmission line output power based on the acquired characteristic data of the cross-regional sending-end power grid, receiving-end power grid, and transmission line, and constructing a constraint curve based on the transmission line output power, includes:

[0008] The equivalent load sequence is calculated based on the load and new energy power generation sequence of the planning period in the receiving-end power grid characteristic data;

[0009] The equivalent annual electricity consumption and maximum equivalent load of the receiving-end power grid are calculated based on the equivalent load sequence.

[0010] The power output of the transmission line at each moment is calculated based on the maximum transmission capacity and average annual utilization hours of the transmission line, the equivalent annual electricity consumption, and the maximum equivalent load in the transmission line characteristic data.

[0011] The constraint curve is obtained by fitting the power output of the transmission line at each time point.

[0012] The receiving-end power grid characteristic data includes: load and new energy power generation sequence for the planning period; the transmission line characteristic data includes: maximum transmission capacity and average annual utilization hours of the transmission line.

[0013] Preferably, the equivalent load sequence is calculated using the following formula:

[0014] L′(t)=L(t)-P w (t)-P pv (t) t∈T

[0015] In the formula, L′(t) is the equivalent load sequence of the receiving-end power grid at time t; L(t) is the load of the receiving-end power grid at time t; T is the calculation time interval; t is a discrete time point within the range of T; P w (t) represents the power generation sequence of wind power in the receiving-end power grid at time t; P pv (t) represents the power generation sequence of photovoltaic power generation at time t.

[0016] Preferably, the equivalent annual electricity consumption of the receiving-end power grid is calculated using the following formula:

[0017]

[0018] The maximum equivalent load is calculated using the following formula:

[0019] L = max{L(t)}

[0020] In the formula, E is the equivalent annual electricity consumption of the receiving-end power grid, N is the number of data in the sequence L′(t), L is the maximum equivalent load, L′(t) is the equivalent load sequence of the receiving-end power grid at time t, and L(t) is the load of the receiving-end power grid at time t.

[0021] Preferably, the power output of the transmission line at each time moment is calculated using the following formula:

[0022]

[0023] In the formula, P L (t) represents the power output of the transmission line at each time point, P′ L(t) represents the power output of the transmission line that tracks the equivalent load at the receiving end, and Q represents the maximum transmission capacity of the transmission line.

[0024] Preferably, the transmission power of the transmission line tracking the equivalent load at the receiving end is calculated using the following formula:

[0025]

[0026] In the formula, P′ L L(t) represents the transmission line output power tracking the equivalent load at the receiving end, L′(t) represents the equivalent load sequence of the receiving end power grid at time t, E represents the equivalent annual electricity consumption of the receiving end power grid, Q represents the maximum transmission capacity of the transmission line, and H represents the average annual utilization hours.

[0027] Preferably, the step of adjusting the energy storage capacity and / or charge / discharge hours of the sending-end power grid based on the constraint curve and the acquired power generation capacity of the sending-end grid using new energy production simulation software until the new energy utilization rate of the sending-end grid reaches the target value includes:

[0028] The constraint curves and the obtained power generation capacity, source-grid-load characteristics, initial energy storage capacity and charge-discharge hours of the sending-end grid and receiving-end grid are input into the new energy production simulation software to simulate the grid operation status and obtain the new energy utilization rate of the sending-end grid.

[0029] The renewable energy utilization rate of the sending-end power grid is compared with a set target value. If the renewable energy utilization rate of the sending-end power grid is less than the target value, the energy storage capacity and / or charge / discharge hours are increased; if the renewable energy utilization rate of the sending-end power grid is greater than the target value, the energy storage capacity and / or charge / discharge hours are decreased.

[0030] The initial capacity of the energy storage is a set proportion of the regional new energy installed capacity.

[0031] Based on the same inventive concept, this invention also provides an energy storage capacity calculation system that considers peak shaving and renewable energy consumption, the system comprising:

[0032] The calculation module is used to calculate the power transmitted by the transmission line based on the acquired characteristic data of the cross-regional sending-end power grid, receiving-end power grid and transmission line, and to construct a constraint curve based on the power transmitted by the transmission line.

[0033] The simulation module is used to perform simulation using new energy production simulation software based on the constraint curve and the obtained power generation capacity and source-grid-load characteristics of the sending-end grid and receiving-end grid, and to adjust the energy storage capacity and / or charge-discharge hours of the sending-end grid until the new energy utilization rate of the sending-end grid reaches the target value.

[0034] The determination module is used to determine the energy storage capacity of the sending-end power grid when the new energy utilization rate reaches the target value as the planned energy storage capacity to meet the requirements of new energy consumption.

[0035] Preferably, the computing module includes:

[0036] The calculation sequence submodule is used to calculate the equivalent load sequence based on the load and new energy power generation sequence of the planning period in the receiving-end power grid characteristic data;

[0037] The load calculation submodule is used to calculate the equivalent annual electricity consumption and maximum equivalent load of the receiving-end power grid based on the equivalent load sequence.

[0038] The power calculation submodule is used to calculate the power output of the transmission line at each moment based on the maximum transmission capacity and average annual utilization hours of the transmission line, the equivalent annual electricity consumption, and the maximum equivalent load in the transmission line characteristic data.

[0039] The curve fitting submodule is used to fit the power output of the transmission line at each time point to obtain a constraint curve.

[0040] The receiving-end power grid characteristic data includes: load and new energy power generation sequence for the planning period; the transmission line characteristic data includes: maximum transmission capacity and average annual utilization hours of the transmission line.

[0041] Preferably, the simulation module includes:

[0042] The simulation operation submodule is used to input the constraint curves and the obtained power generation capacity and source-grid-load characteristics of the sending-end grid and receiving-end grid, the initial capacity of energy storage and the number of charge and discharge hours into the new energy production simulation software to simulate the grid operation status and obtain the new energy utilization rate of the sending-end grid.

[0043] The cyclic comparison submodule is used to compare the renewable energy utilization rate of the sending-end power grid with a set target value. When the renewable energy utilization rate of the sending-end power grid is less than the target value, the energy storage capacity and / or charge / discharge hours are increased; when the renewable energy utilization rate of the sending-end power grid is greater than the target value, the energy storage capacity and / or charge / discharge hours are decreased.

[0044] The initial capacity of the energy storage is a set proportion of the regional new energy installed capacity.

[0045] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0046] This invention provides a method for calculating energy storage capacity considering peak shaving and renewable energy consumption. The method includes: calculating the power output of transmission lines based on acquired characteristic data of cross-regional sending-end grids, receiving-end grids, and transmission lines; constructing a constraint curve based on the power output of transmission lines; performing simulation using renewable energy production simulation software based on the constraint curve and acquired power generation capacity and source-grid-load characteristics of the sending-end and receiving-end grids; adjusting the energy storage capacity and / or charge-discharge hours of the sending-end grid until the renewable energy utilization rate of the sending-end grid reaches a target value; and using the energy storage capacity of the sending-end grid when the renewable energy utilization rate reaches the target value as the planned energy storage capacity to meet the renewable energy consumption requirements. By acquiring cross-regional receiving-end grid data to calculate the power output of transmission lines and constructing constraint curves, renewable energy consumption can be promoted through a wider range of power balance. The method uses renewable energy production simulation software to simulate the grid's operating state and continuously adjusts the energy storage capacity and / or charge-discharge hours to achieve the set target value for renewable energy utilization, making the energy storage capacity calculation results more accurate. Attached Figure Description

[0047] Figure 1 This is a flowchart of an energy storage capacity calculation method that takes into account peak shaving and renewable energy consumption according to the present invention.

[0048] Figure 2 This is a flowchart of the energy storage capacity calculation method for the receiving-end power grid considering peak shaving and new energy consumption, as presented in this invention.

[0049] Figure 3 This is a schematic diagram of the cross-regional power grid of the present invention;

[0050] Figure 4 This is the equivalent load curve at the receiving end of the present invention;

[0051] Figure 5 This is the constraint curve for the transmission line in this invention. Detailed Implementation

[0052] To better understand this invention, the following description, in conjunction with the accompanying drawings, further illustrates its contents. This invention fully considers the load of the receiving-end power grid and the characteristics of renewable energy generation, determines the energy storage capacity requirements of the sending-end power grid, and ensures the effective absorption of renewable energy in the sending-end power grid while minimizing the pressure on peak shaving and renewable energy consumption in the receiving-end power grid. This achieves the goal of promoting renewable energy consumption through a wider range of power balance.

[0053] Example 1:

[0054] This invention provides a method for calculating energy storage capacity that considers peak shaving and renewable energy consumption, the implementation process of which is as follows: Figure 1 As shown, it includes:

[0055] Step 1: Calculate the transmission power of the transmission lines based on the acquired characteristic data of the cross-regional sending-end power grid, receiving-end power grid, and transmission lines, and construct a constraint curve based on the transmission power of the transmission lines.

[0056] Step 2: Based on the constraint curve and the obtained power generation capacity and source-grid-load characteristics of the sending-end grid and receiving-end grid, use new energy production simulation software to perform simulation, and adjust the energy storage capacity and / or charge-discharge hours of the sending-end grid until the new energy utilization rate of the sending-end grid reaches the target value.

[0057] Step 3: The energy storage capacity of the sending-end power grid when the renewable energy utilization rate reaches the target value is taken as the planned energy storage capacity to meet the renewable energy consumption requirements.

[0058] The following describes a method for calculating energy storage capacity that considers peak shaving and renewable energy consumption, based on the present invention. Figure 2 A detailed introduction will be provided.

[0059] Before step 1, establish the sending-end power grid model and the receiving-end power grid model based on the source-grid-load characteristics of the sending-end and receiving-end power grids.

[0060] The source-grid-load characteristics include: power generation capacity, unit characteristics, renewable energy output, load characteristics, grid structure, cross-sectional constraints, and geographical distribution.

[0061] According to regional energy storage planning requirements, a cross-regional power grid will be constructed, including the planned area (sending-end grid) and the external transmission grid area (receiving-end grid), such as... Figure 3 As shown in Table 1, the installed power capacity of the sending-end and receiving-end power grids are as follows. The sending-end power grid accounts for 80% of the total installed power capacity in the region due to renewable energy sources, making it a typical renewable energy-dominated power system. The receiving-end power grid, however, still relies primarily on thermal power.

[0062]

[0063]

[0064] Table 1 Installed Power Generation Capacity at Sending and Receiving Ends of the Grid

[0065] Step 1, which involves calculating the transmission line output power based on the acquired characteristic data of the cross-regional sending-end power grid, receiving-end power grid, and transmission line, and constructing a constraint curve based on the transmission line output power, specifically includes:

[0066] The formula for calculating the equivalent load sequence based on the load and renewable energy generation power sequences for the planning period in the received-end power grid characteristic data is as follows:

[0067] L′(t)=L(t)-P w (t)-P pv (t) t∈T

[0068] In the formula, T is the calculation time interval, usually one year. t is a discrete time point within T, usually one point per hour; L(t) is the load of the receiving-end power grid at time t, and P... w (t) represents the wind power generation of the receiving-end grid at time t, P pv L(t) represents the photovoltaic power generation of the receiving-end grid at time t, and L′(t) represents the equivalent load sequence of the receiving-end grid at time t. The equivalent load curve of the receiving-end grid is obtained by fitting the equivalent load sequence of the receiving-end grid as shown below. Figure 4 As shown.

[0069] The formula for calculating the equivalent annual electricity consumption of the receiving-end power grid based on the equivalent load sequence is as follows:

[0070]

[0071] In the formula, N is the number of data points in the sequence L′(t). If the time length of the sequence is 1 year and the time interval is 1 hour, then N is 8760. E is the equivalent annual electricity consumption of the receiving-end power grid, and L′(t) is the equivalent load sequence of the receiving-end power grid at time t.

[0072] The formula for calculating the maximum equivalent load based on the aforementioned equivalent load sequence is as follows:

[0073] L = max{L(t)}

[0074] In the formula, L is the maximum equivalent load, and L(t) is the load of the receiving-end power grid at time t.

[0075] Based on the maximum transmission capacity and average annual utilization hours of the transmission line, the equivalent annual electricity consumption, and the maximum equivalent load in the transmission line characteristic data, the formula for calculating the power output of the transmission line at each moment is as follows:

[0076]

[0077] In the formula, P L (t) represents the power output of the transmission line at each time point, P′ L (t) represents the power output of the transmission line that tracks the equivalent load at the receiving end, and Q represents the maximum transmission capacity of the transmission line.

[0078] The power output of the transmission line tracking the equivalent load at the receiving end is calculated using the following formula:

[0079]

[0080] In the formula, P′ LL(t) represents the transmission line output power tracking the equivalent load at the receiving end, L′(t) represents the equivalent load sequence of the receiving end power grid at time t, E represents the equivalent annual electricity consumption of the receiving end power grid, Q represents the maximum transmission capacity of the transmission line, and H represents the average annual utilization hours.

[0081] The constraint curve constructed based on the power output of the transmission line is as follows: Figure 5 As shown in the figure, the transmission capacity of this line is 96 million kilowatts, with an annual utilization of approximately 6,000 hours. This curve closely matches the equivalent load curve at the receiving end. During periods of low load in the receiving-end grid, the transmission power is relatively small, while during peak load periods, the transmission power is relatively large. This ensures that the transmitted power matches the power demand of the receiving-end grid, thus avoiding an increase in peak-shaving pressure on the receiving-end grid due to external power imports.

[0082] Step 2, based on the constraint curve and the obtained power generation capacity and source-grid-load characteristics of the sending-end and receiving-end power grids, utilizes new energy production simulation software to perform simulations, adjusting the energy storage capacity and / or charge-discharge hours of the sending-end power grid until the new energy utilization rate of the sending-end power grid reaches the target value. Specifically, this is used for:

[0083] Set the initial capacity and charge / discharge hours of energy storage in the sending-end power grid. For example, the initial capacity is 10% of the installed capacity of new energy in the region, and the charge / discharge hours are 2 hours.

[0084] The power grid operation status was simulated using Renewable Energy Production Simulation Software (REPS) to form a calculation case, and optimization calculations were performed to obtain the renewable energy utilization rate θ of the sending-end power grid.

[0085] Compare the renewable energy utilization rate of the sending-end grid with the target value (α) of the renewable energy utilization rate of the sending-end grid. If θ < α, increase the energy storage capacity and / or charge / discharge hours of the sending-end grid. If θ > α, decrease the energy storage capacity and / or charge / discharge hours of the sending-end grid.

[0086] The increased or decreased energy storage capacity and / or charge / discharge hours of the sending-end power grid are re-input into the new energy production simulation software to obtain a new new energy utilization rate.

[0087] In step 3, the energy storage capacity of the sending-end power grid when the renewable energy utilization rate reaches the target value is used as the planned energy storage capacity to meet the renewable energy consumption requirements. Specifically, this is used for:

[0088] Until θ≈α, the energy storage capacity and charge / discharge hours in the calculation case represent the planned energy storage capacity requirement for the sending-end power grid. If the target for renewable energy utilization in the planned area is 90%, 250 million kWh of energy storage is required; if the renewable energy utilization rate is increased to 95%, 440 million kWh of energy storage is required.

[0089] Example 2:

[0090] An energy storage capacity calculation system considering peak shaving and renewable energy consumption, the system comprising:

[0091] The calculation module is used to calculate the power transmitted by the transmission line based on the acquired characteristic data of the cross-regional sending-end power grid, receiving-end power grid and transmission line, and to construct a constraint curve based on the power transmitted by the transmission line.

[0092] The simulation module is used to perform simulation using new energy production simulation software based on the constraint curve and the obtained power generation capacity and source-grid-load characteristics of the sending-end grid and receiving-end grid, and to adjust the energy storage capacity and / or charge-discharge hours of the sending-end grid until the new energy utilization rate of the sending-end grid reaches the target value.

[0093] The determination module is used to determine the energy storage capacity of the sending-end power grid when the new energy utilization rate reaches the target value as the planned energy storage capacity to meet the requirements of new energy consumption.

[0094] The computing module includes:

[0095] The calculation sequence submodule is used to calculate the equivalent load sequence based on the load and new energy power generation sequence of the planning period in the receiving-end power grid characteristic data;

[0096] The load calculation submodule is used to calculate the equivalent annual electricity consumption and maximum equivalent load of the receiving-end power grid based on the equivalent load sequence.

[0097] The power calculation submodule is used to calculate the power output of the transmission line at each moment based on the maximum transmission capacity and average annual utilization hours of the transmission line, the equivalent annual electricity consumption, and the maximum equivalent load in the transmission line characteristic data.

[0098] The curve fitting submodule is used to fit the power output of the transmission line at each time point to obtain a constraint curve.

[0099] The receiving-end power grid characteristic data includes: load and new energy power generation sequence for the planning period; the transmission line characteristic data includes: maximum transmission capacity and average annual utilization hours of the transmission line.

[0100] The simulation module includes:

[0101] The simulation operation submodule is used to input the constraint curves and the obtained power generation capacity, source-grid-load characteristics, initial energy storage capacity and charge-discharge hours of the sending-end grid and receiving-end grid into the new energy production simulation software to simulate the grid operation status and obtain the new energy utilization rate of the sending-end grid.

[0102] The cyclic comparison submodule is used to compare the renewable energy utilization rate of the sending-end power grid with a set target value. When the renewable energy utilization rate of the sending-end power grid is less than the target value, the energy storage capacity and / or charge / discharge hours are increased; when the renewable energy utilization rate of the sending-end power grid is greater than the target value, the energy storage capacity and / or charge / discharge hours are decreased.

[0103] The initial capacity of the energy storage is a set proportion of the regional new energy installed capacity.

[0104] The set ratio is 10%.

[0105] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0106] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0107] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0108] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0109] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of the claims of the present invention pending approval.

Claims

1. A method for calculating energy storage capacity considering peak shaving and renewable energy consumption, characterized in that, include: The transmitted power of the transmission lines is calculated based on the acquired characteristic data of the cross-regional sending-end power grid, receiving-end power grid, and transmission lines, and a constraint curve is constructed based on the transmitted power of the transmission lines. Based on the constraint curve and the obtained power generation capacity and source-grid-load characteristics of the sending-end grid and receiving-end grid, simulation is performed using new energy production simulation software to adjust the energy storage capacity and / or charge-discharge hours of the sending-end grid until the new energy utilization rate of the sending-end grid reaches the target value. The energy storage capacity of the sending-end power grid when the renewable energy utilization rate reaches the target value is taken as the planned energy storage capacity to meet the renewable energy consumption requirements. The calculation of transmission line output power based on the acquired characteristic data of the cross-regional sending-end power grid, receiving-end power grid, and transmission lines, and the construction of constraint curves based on the transmission line output power, includes: The equivalent load sequence is calculated based on the load and new energy power generation sequence of the planning period in the receiving-end power grid characteristic data; The equivalent annual electricity consumption and maximum equivalent load of the receiving-end power grid are calculated based on the equivalent load sequence. The power output of the transmission line at each moment is calculated based on the maximum transmission capacity and average annual utilization hours of the transmission line, the equivalent annual electricity consumption, and the maximum equivalent load in the transmission line characteristic data. The constraint curve is obtained by fitting the power output of the transmission line at each time point. The receiving-end power grid characteristic data includes: load and new energy power generation sequence for the planning period; the transmission line characteristic data includes: maximum transmission capacity and average annual utilization hours of the transmission line. Based on the constraint curve and the obtained power generation capacity and source-grid-load characteristics of the sending-end and receiving-end power grids, simulation is performed using new energy production simulation software. The energy storage capacity and / or charge / discharge hours of the sending-end power grid are adjusted until the new energy utilization rate of the sending-end power grid reaches the target value, including: The constraint curves and the obtained power generation capacity, source-grid-load characteristics, initial energy storage capacity and charge-discharge hours of the sending-end grid and receiving-end grid are input into the new energy production simulation software to simulate the grid operation status and obtain the new energy utilization rate of the sending-end grid. The renewable energy utilization rate of the sending-end power grid is compared with a set target value. If the renewable energy utilization rate of the sending-end power grid is less than the target value, the energy storage capacity and / or charge / discharge hours are increased; if the renewable energy utilization rate of the sending-end power grid is greater than the target value, the energy storage capacity and / or charge / discharge hours are decreased. The initial capacity of the energy storage is a set proportion of the regional new energy installed capacity.

2. The method according to claim 1, characterized in that, The equivalent load sequence is calculated using the following formula: In the formula, for The equivalent load sequence of the receiving-end power grid at any given time; Let t be the load of the receiving-end power grid at time t; T be the calculation time interval; t be the... Discrete time points within the range; For the receiving end of the grid, wind power in The power generation sequence at any given time; Let be the power generation sequence of photovoltaic power generation at time t.

3. The method according to claim 1, characterized in that, The equivalent annual electricity consumption of the receiving-end power grid is calculated using the following formula: The maximum equivalent load is calculated using the following formula: In the formula, E represents the equivalent annual electricity consumption of the receiving-end power grid. For sequence Number of data points For the maximum equivalent load, for The equivalent load sequence of the receiving-end power grid at any given time. for The load of the receiving end power grid is constantly being monitored.

4. The method according to claim 1, characterized in that, The power output of the transmission line at each time point is calculated using the following formula: In the formula, The power output of the transmission lines at each moment. To track the transmission line output power of the equivalent load at the receiving end, This represents the maximum transmission capacity of the power transmission line.

5. The method according to claim 4, characterized in that, The power output of the transmission line tracking the equivalent load at the receiving end is calculated using the following formula: In the formula, To track the transmission line output power of the equivalent load at the receiving end, for The equivalent load sequence of the receiving-end power grid at any given time. The equivalent annual electricity consumption of the receiving-end power grid, This is the maximum transmission capacity of the transmission line. This represents the average number of hours used per year.

6. An energy storage capacity calculation system considering peak shaving and renewable energy consumption, characterized in that, The system includes: The calculation module is used to calculate the power transmitted by the transmission line based on the acquired characteristic data of the cross-regional sending-end power grid, receiving-end power grid and transmission line, and to construct a constraint curve based on the power transmitted by the transmission line. The simulation module is used to perform simulation using new energy production simulation software based on the constraint curve and the obtained power generation capacity and source-grid-load characteristics of the sending-end grid and receiving-end grid, and to adjust the energy storage capacity and / or charge-discharge hours of the sending-end grid until the new energy utilization rate of the sending-end grid reaches the target value. The determination module is used to determine the energy storage capacity of the sending-end power grid when the new energy utilization rate of the sending-end power grid reaches the target value as the planned energy storage capacity to meet the requirements of new energy consumption. The computing module includes: The calculation sequence submodule is used to calculate the equivalent load sequence based on the load and new energy power generation sequence of the planning period in the receiving-end power grid characteristic data; The load calculation submodule is used to calculate the equivalent annual electricity consumption and maximum equivalent load of the receiving-end power grid based on the equivalent load sequence. The power calculation submodule is used to calculate the power output of the transmission line at each moment based on the maximum transmission capacity and average annual utilization hours of the transmission line, the equivalent annual electricity consumption, and the maximum equivalent load in the transmission line characteristic data. The curve fitting submodule is used to fit the power output of the transmission line at each time point to obtain a constraint curve. The receiving-end power grid characteristic data includes: load and new energy power generation sequence for the planning period; the transmission line characteristic data includes: maximum transmission capacity and average annual utilization hours of the transmission line. The simulation module includes: The simulation operation submodule is used to input the constraint curves and the obtained power generation capacity, source-grid-load characteristics, initial energy storage capacity and charge-discharge hours of the sending-end grid and receiving-end grid into the new energy production simulation software to simulate the grid operation status and obtain the new energy utilization rate of the sending-end grid. The cyclic comparison submodule is used to compare the renewable energy utilization rate of the sending-end power grid with a set target value. When the renewable energy utilization rate of the sending-end power grid is less than the target value, the energy storage capacity and / or charge / discharge hours are increased; when the renewable energy utilization rate of the sending-end power grid is greater than the target value, the energy storage capacity and / or charge / discharge hours are decreased. The initial capacity of the energy storage is a set proportion of the regional new energy installed capacity.

7. The system according to claim 6, characterized in that, The equivalent load sequence is calculated using the following formula: In the formula, for The equivalent load sequence of the receiving-end power grid at any given time; Let t be the load of the receiving-end power grid at time t; T be the calculation time interval; t be the... Discrete time points within the range; For the receiving end of the grid, wind power in The power generation sequence at any given time; Let be the power generation sequence of photovoltaic power generation at time t.

8. The system according to claim 6, characterized in that, The equivalent annual electricity consumption of the receiving-end power grid is calculated using the following formula: The maximum equivalent load is calculated using the following formula: In the formula, E represents the equivalent annual electricity consumption of the receiving-end power grid. For sequence Number of data points For the maximum equivalent load, for The equivalent load sequence of the receiving-end power grid at any given time. for The load of the receiving end power grid is constantly being monitored.

9. The system according to claim 6, characterized in that, The power output of the transmission line at each time point is calculated using the following formula: In the formula, The power output of the transmission lines at each moment. To track the transmission line output power of the equivalent load at the receiving end, This represents the maximum transmission capacity of the power transmission line.

10. The system according to claim 9, characterized in that, The power output of the transmission line tracking the equivalent load at the receiving end is calculated using the following formula: In the formula, To track the transmission line output power of the equivalent load at the receiving end, for The equivalent load sequence of the receiving-end power grid at any given time. The equivalent annual electricity consumption of the receiving-end power grid, This is the maximum transmission capacity of the transmission line. This represents the average number of hours used per year.

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