Electric power system energy storage and power transmission network collaborative planning method and system

Abstract

The invention relates to the technical field of power grid collaborative planning, in particular to a power system energy storage and power transmission grid collaborative planning method and system, and the method comprises the steps: analyzing the historical power consumption information in a specified energy consumption region, determining a local power consumption curve and a comprehensive time curve in the specified energy consumption region, calculating the line loss energy in each time region, determining the total transportation loss energy of the specified energy consumption region, calculating the energy storage loss value of the energy storage equipment in the specified energy consumption region based on the local power consumption predicted value, comparing the total transportation loss energy with the energy storage loss value, and determining the energy consumption of the energy storage equipment based on the comparison result. The final power transmission scheme of the specified energy consumption area is determined, reasonable configuration of power resources is facilitated, the overall economy and reliability of a power system are improved, and the operation cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid collaborative planning, and in particular to a method and system for collaborative planning of power system energy storage and transmission network. Background Art

[0002] The transmission network is a power transmission network that connects power plants, substations or substations, and its main task is to transmit electric energy.

[0003] Prior art CN116169725A discloses a novel collaborative planning method and system for a power system, comprising: dividing each source in the power system according to the collaborative capability, and determining the power constraints according to the operation of the power system; inputting the divided sources and power constraints into a pre-built algorithm planning model for analysis based on a selection module; and performing cyclic collaborative planning of the power system with the goal of minimizing the adjustable load capacity by adjusting the power constraints and different resources in the algorithm planning model.

[0004] However, when the power system is transporting or storing electricity, due to factors of the circuit itself, the transmission line will generate energy loss during operation. If it is only operated according to the fixed transmission plan of the transmission network, the circuit loss cannot be evaluated, which will cause the circuit loss to be out of control, thereby increasing the operating cost of the transmission network. Summary of the invention

[0005] The purpose of the present invention is to solve the problems in the background technology and to propose a method and system for collaborative planning of power system energy storage and transmission network.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] A method for collaborative planning of power system energy storage and transmission network, the method specifically comprising the following steps:

[0008] Step 1: Collect the overall line distribution map of the target area, and set multiple designated energy consumption areas for the target area based on the location of the energy storage system and the power supply area in the overall line distribution map;

[0009] Step 2: Based on the historical power consumption information, collect and analyze the information of the interval time period in the specified energy consumption area to determine the local power consumption curve, and then divide the historical power consumption information in the interval time period according to unit time, and process and analyze it to determine the comprehensive time curve of the power consumption change based on unit time in the specified energy consumption area;

[0010] Step 3: Based on the local power consumption curve, determine the local power consumption forecast value at the current time, and then divide the comprehensive time curve into multiple time zones for the power consumption in the comprehensive time curve. Then calculate the line loss energy in each time zone, and determine the total transportation loss energy in the specified energy consumption area. At the same time, based on the local power consumption forecast value, calculate the energy storage loss value of the energy storage equipment in the specified energy consumption area. Finally, compare the total transportation loss energy with the energy storage loss value. Based on the comparison result, determine the final transmission plan for the specified energy consumption area.

[0011] As a further solution of the present invention, a method for determining a local power consumption curve includes:

[0012] SS1: Based on the overall line distribution map of the target area's transmission network, identify the area where each energy storage system supplies energy and mark it as a designated energy consumption area;

[0013] SS2: randomly select a designated energy consumption area, and take the designated energy consumption area as an example to collect information on the historical power consumption and environmental information in the designated energy consumption area. When collecting information on the designated energy consumption area, the time for collecting information in the designated energy consumption area is the interval period in the n cycle time;

[0014] SS3: Taking environmental information as the independent variable factor and the power consumption of the specified energy consumption area as the dependent variable factor, a two-dimensional coordinate system is established again, and the environmental information and power consumption are marked in the two-dimensional coordinate system. At the same time, the polynomial regression algorithm is used to linearly fit multiple points in the two-dimensional coordinate system to obtain the local power consumption curve of this specified power consumption area.

[0015] As a further solution of the present invention, the cycle time is set to one year, and the method for setting the interval period includes:

[0016] Set the deadline time, take the current time as the time node, and set the interval time according to the deadline time. Furthermore, in the interval time, the current time is the midpoint of the interval time, and the deadline time is set to 30 days.

[0017] As a further solution of the present invention, a method for setting a comprehensive time curve includes:

[0018] Extract the historical power consumption in the specified energy consumption area interval, then set the unit time, divide the historical power consumption according to the unit time, and obtain the unit power consumption, where the unit time is set to 1 hour;

[0019] Then set 24 hours as a cycle, and divide the time in the interval into 24 hours, to get m times, where 24 hours is set according to the start time of the natural day. At this time, m=n×30, 30 represents 30 days in the deadline;

[0020] Set time as the horizontal axis and unit power consumption as the vertical axis to establish a two-dimensional coordinate system, where the value of the horizontal axis is 0-23, representing each integer time point in a natural day, and then mark the unit power consumption in the selected interval time period in this two-dimensional coordinate system, and fit the corresponding unit time in a cycle into a unit change curve;

[0021] The unit times in all cycles in the interval period are fitted in a two-dimensional coordinate system to obtain m unit change curves, and finally the m unit change curves are fitted into a comprehensive time curve based on Matlab software.

[0022] As a further solution of the present invention, the method for dividing the time zone includes:

[0023] Obtain the comprehensive time curves corresponding to all specified power consumption areas, obtain the power consumption threshold in the target area, and divide the power consumption in the comprehensive time curve into a high-load area and a low-load area, wherein the high-load area refers to the time when the unit power consumption in the comprehensive time curve is greater than or equal to the power consumption threshold, and conversely, the low-load area refers to the time when the unit power consumption in the comprehensive time curve is less than the power consumption threshold. Then, based on the high-load area and the low-load area, divide the comprehensive time curve into several time areas, wherein one time area is a continuous and uninterrupted interval.

[0024] As a further embodiment of the present invention, a method for determining the total energy of transport loss includes:

[0025] ST1: Based on the current time of the target area, collect real-time meteorological information, where the meteorological information includes temperature, wind speed and weather conditions;

[0026] Obtain the local power consumption curve corresponding to each designated energy consumption area in the target area, then use the real-time collected meteorological information as input data, input it into the function corresponding to the local power consumption curve of the designated energy consumption area, and perform calculations to obtain the local power consumption prediction value;

[0027] ST2: Based on the overall line distribution map of the target area, identify the locations of the characteristic power equipment and the energy storage system in the overall line distribution map;

[0028] ST3: arbitrarily select a designated energy consumption area and mark it as the target energy consumption area, calculate the average power consumption in each time zone in the target energy consumption area, and obtain the average power consumption HDi, where i represents different time zones, and i=1, 2, ..., I, indicating that there are I time zones in the comprehensive time curve;

[0029] Obtain the transmission distance d between the new energy power generation equipment and the target energy consumption area, based on the formula Get the line loss energy Whi in the target energy consumption area in time zone i, where U is the line voltage, is the power factor, ti is the total duration of the time zone, ρ is the line resistivity, S is the cross-sectional area of ​​the line, represents the error correction factor;

[0030] According to the above method, the line loss energy WHi of all time zones in the target energy consumption area is calculated, and then based on the formula The total transportation loss energy XS of the target energy consumption area is obtained.

[0031] As a further solution of the present invention, a method for calculating the energy storage loss value includes:

[0032] Extract the local power consumption prediction value of the target energy consumption area, use the local power consumption prediction value as the power storage value DC, obtain the comprehensive time curve again, and identify the minimum power consumption mean HDx in the comprehensive time curve. Use the formula Get the energy storage loss value CH, where: is the loss factor of the energy storage system, , tc represents the total time it takes for the energy storage system in the target specified area to store energy to the power storage value DC.

[0033] As a further solution of the present invention, a method for determining a final power transmission plan for a designated energy consumption area includes:

[0034] The total transportation loss energy XS of the target energy consumption area is compared with the energy storage loss value CH. If XS≤CH, the power transmission method of the target energy consumption area is set to real-time transmission, that is, the electricity generated by the new energy power generation equipment is directly transmitted to the power consumers in the target energy consumption area. Conversely, if XS>CH, the energy of the new energy power generation equipment is first stored in the energy storage station, and then the time point corresponding to the minimum average power consumption in the target energy consumption area is identified, and at this time point, the electric energy in the energy storage station is transmitted to the energy storage system corresponding to the target energy consumption area.

[0035] The power system energy storage and transmission network coordinated planning system includes:

[0036] An information collection module is used to collect the overall route distribution map of the target area;

[0037] The local power analysis module sets multiple designated energy consumption areas in the target area based on the power supply area of ​​the energy storage system, and then analyzes the historical power consumption information in the designated energy consumption areas to determine the local power consumption curve and the comprehensive time curve in the designated energy consumption areas;

[0038] The power transportation analysis module is used to determine the local power consumption forecast value of the current time stage according to the local power consumption curve, and then divide the comprehensive time curve into multiple time zones for the power consumption in the comprehensive time curve, and then calculate the line loss energy in each time zone, and determine the total transportation loss energy of the specified energy consumption zone, and then calculate the energy storage loss value of the energy storage equipment in the specified energy consumption zone based on the local power consumption forecast value, and finally compare the total transportation loss energy with the energy storage loss value, and determine the final power transmission plan for the specified energy consumption zone based on the comparison result;

[0039] The action execution module is used to transmit electricity to each designated energy consumption area according to the power transmission scheme selected by the designated energy consumption area.

[0040] Compared with the prior art, the advantages of the present invention are:

[0041] The present invention divides the comprehensive time curve into time areas and calculates the line loss energy, as well as determines the energy storage loss value of the energy storage device, which helps to accurately grasp the energy loss of electricity during transportation and storage. At the same time, the total transportation loss energy is compared with the energy storage loss value to determine the final transmission plan, which can optimize the transmission process and select the transmission method with the smallest loss and the highest efficiency. This helps to reasonably allocate power resources, improve the overall economy and reliability of the power system, and reduce operating costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of the system structure of the present invention;

[0043] Figure 2 It is a schematic diagram of the method flow structure of the present invention. DETAILED DESCRIPTION

[0044] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0045] Reference Figure 1 , a method for collaborative planning of power system energy storage and transmission network, the collaborative planning method specifically includes the following steps:

[0046] Step 1: Based on the power system of the target area, collect the overall line distribution map of the power system of the target area, and identify the power supply system location and the energy storage system location in the overall line distribution map, wherein the target area refers to the area covered by the regional transmission network as a whole, such as a city or a county. Furthermore, the power supply system location refers to the location of the new energy power generation equipment. In order to facilitate the storage of the power generated by the new energy, multiple energy storage systems are set up in the target area;

[0047] Step 2: Based on the historical power consumption information of the target area, determine the local power consumption curve of the target area. Specifically, the method for determining the local power consumption curve includes:

[0048] SS1: Based on the overall line distribution map of the target area's transmission network, identify the area where each energy storage system supplies energy and mark it as a designated energy consumption area. Furthermore, one energy storage system corresponds to one designated energy consumption area.

[0049] SS2: randomly select a designated energy consumption area, and take the designated energy consumption area as an example to collect information on the historical power consumption and environmental information in the designated energy consumption area, wherein the environmental information includes temperature and weather conditions, and the weather conditions refer to cloudy, rainy or sunny days, etc. When collecting information on the designated energy consumption area, the time for collecting information on the designated energy consumption area is the interval period in the n cycle time;

[0050] It should be further explained that the interval time setting method includes:

[0051] Set the deadline. In this embodiment, the deadline is set to 30 days. The current time is used as the time node. According to the deadline, set the interval. Furthermore, in the interval, the current time is the midpoint of the interval. For example, if the current time is July 10 and the deadline is 30 days, the interval is from June 25 to July 25. The current time, July 10, is at the midpoint of the interval.

[0052] Set one year as a cycle time, select n consecutive cycle times, identify the interval time in each cycle time, and collect information within the interval time;

[0053] SS3: Taking environmental information as the independent variable factor and the power consumption of the specified energy consumption area as the dependent variable factor, a two-dimensional coordinate system is established again, and the environmental information and power consumption are marked in the two-dimensional coordinate system. At the same time, a polynomial regression algorithm is used to linearly fit multiple points in the two-dimensional coordinate system to obtain the local power consumption curve of this specified power consumption area;

[0054] SS4: extract the historical power consumption in the specified energy consumption area interval again, then set the unit time, divide the historical power consumption according to the unit time, and obtain the unit power consumption. In this embodiment, the unit time is set to 1 hour;

[0055] Then set 24 hours as a cycle, and divide the time in the interval into 24 hours to obtain m times. In this embodiment, 24 hours are set according to the start time of a natural day. At this time, m=n×30, where 30 represents the deadline time in step SS2;

[0056] Set time as the horizontal axis and unit power consumption as the vertical axis to establish a two-dimensional coordinate system, where the value of the horizontal axis is 0-23, representing each integer time point in a natural day, and then mark the unit power consumption in the selected interval time period in this two-dimensional coordinate system, and fit the corresponding unit time in a cycle into a unit change curve;

[0057] Fit the unit time in all cycles in the interval period in a two-dimensional coordinate system to obtain m unit change curves, and finally fit the m unit change curves into a comprehensive time curve based on Matlab software;

[0058] Then, according to the method in steps SS1 to SS4 above, the local power consumption curves and the comprehensive time curves corresponding to all the specified power consumption intervals are calculated;

[0059] Step 3: Based on the overall line distribution diagram of the power system, conduct an inertia analysis on the grid operation cost, and determine the energy storage solution based on the inertia analysis results. The specific method for determining the energy storage solution includes:

[0060] ST1: Based on the current time of the target area, real-time meteorological information is collected, wherein the meteorological information includes temperature, wind speed, weather conditions, etc. Further, the meteorological information is collected by weather forecast information;

[0061] Obtain the local power consumption curve corresponding to each designated energy consumption area in the target area, then use the real-time collected meteorological information as input data, input it into the function corresponding to the local power consumption curve of the designated energy consumption area, and perform calculations to obtain the local power consumption prediction value;

[0062] ST2: Based on the overall line distribution map of the target area, identify the locations of the characteristic power equipment and the energy storage system in the overall line distribution map;

[0063] Then, the comprehensive time curves corresponding to all designated power consumption areas are obtained, the power consumption threshold in the target area is obtained, and the power consumption in the comprehensive time curve is divided into a high-load area and a low-load area, wherein the high-load area refers to the time when the unit power consumption in the comprehensive time curve is greater than or equal to the power consumption threshold, and conversely, the low-load area refers to the time when the unit power consumption in the comprehensive time curve is less than the power consumption threshold. Furthermore, the specific value of the power consumption threshold is set by those skilled in the art based on big data experience;

[0064] Then, based on the high-load area and the low-load area, the comprehensive time curve is divided into several time areas, where a time area is a continuous and uninterrupted interval;

[0065] ST3: arbitrarily select a designated energy consumption area and mark it as the target energy consumption area, calculate the average power consumption in each time zone in the target energy consumption area, and obtain the average power consumption HDi, where i represents different time zones, and i=1, 2, ..., I, indicating that there are I time zones in the comprehensive time curve;

[0066] Obtain the transmission distance d between the new energy power generation equipment and the target energy consumption area, based on the formula Get the line loss energy Whi in the target energy consumption area in time zone i, where U is the line voltage, is the power factor, ti is the total duration of the time zone, ρ is the line resistivity, S is the cross-sectional area of ​​the line, represents the error correction factor;

[0067] According to the above method, the line loss energy WHi of all time zones in the target energy consumption area is calculated, and then based on the formula Get the total transport loss energy XS of the target energy consumption area;

[0068] ST4: Extract the local power consumption prediction value of the target energy consumption area, use the local power consumption prediction value as the power storage value DC, obtain the comprehensive time curve again, and identify the minimum power consumption mean HDx in the comprehensive time curve, using the formula Get the energy storage loss value CH, where: is the loss factor of the energy storage system, , tc represents the total time for the energy storage system in the target designated area to store energy to the power storage value DC;

[0069] ST5: Compare the total transport loss energy XS of the target energy consumption area with the energy storage loss value CH. If XS≤CH, the power transmission method of the target energy consumption area is set to real-time transmission, that is, the power generated by the new energy power generation equipment is directly transmitted to the power consumers in the target energy consumption area. On the contrary, if XS>CH, the energy of the new energy power generation equipment is first stored in the energy storage station, and then the time point corresponding to the minimum average power consumption in the target energy consumption area is identified, and at this time point, the electric energy in the energy storage station is transmitted to the energy storage system corresponding to the target energy consumption area, thereby reducing the energy loss value of the power grid.

[0070] Reference Figure 2 , the power system energy storage and transmission network coordinated planning system, including:

[0071] An information collection module is used to collect the overall route distribution map of the target area;

[0072] The local power analysis module sets multiple designated energy consumption areas in the target area based on the power supply area of ​​the energy storage system, and then analyzes the historical power consumption information in the designated energy consumption areas to determine the local power consumption curve and the comprehensive time curve in the designated energy consumption areas;

[0073] The power transportation analysis module is used to determine the local power consumption forecast value of the current time stage according to the local power consumption curve, and then divide the comprehensive time curve into multiple time zones for the power consumption in the comprehensive time curve, and then calculate the line loss energy in each time zone, and determine the total transportation loss energy of the specified energy consumption zone, and then calculate the energy storage loss value of the energy storage equipment in the specified energy consumption zone based on the local power consumption forecast value, and finally compare the total transportation loss energy with the energy storage loss value, and determine the final power transmission plan for the specified energy consumption zone based on the comparison result;

[0074] The action execution module is used to transmit electricity to each designated energy consumption area according to the power transmission scheme selected by the designated energy consumption area.

[0075] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for collaborative planning of power system energy storage and transmission network, characterized in that: The method specifically comprises the following steps: Step 1: Collect the overall line distribution map of the target area, and set multiple designated energy consumption areas for the target area based on the location of the energy storage system and the power supply area in the overall line distribution map; Step 2: Based on the historical power consumption information, collect and analyze the information of the interval time period in the specified energy consumption area to determine the local power consumption curve, and then divide the historical power consumption information in the interval time period according to unit time, and process and analyze it to determine the comprehensive time curve of the power consumption change based on unit time in the specified energy consumption area; Step 3: Based on the local power consumption curve, determine the local power consumption forecast value at the current time, and then divide the comprehensive time curve into multiple time zones for the power consumption in the comprehensive time curve. Then calculate the line loss energy in each time zone, and determine the total transportation loss energy in the specified energy consumption area. At the same time, based on the local power consumption forecast value, calculate the energy storage loss value of the energy storage equipment in the specified energy consumption area. Finally, compare the total transportation loss energy with the energy storage loss value. Based on the comparison result, determine the final transmission plan for the specified energy consumption area.

2. The method for collaborative planning of power system energy storage and transmission network according to claim 1, characterized in that: The method for determining the local power consumption curve includes: SS1: Based on the overall line distribution map of the target area's transmission network, identify the area where each energy storage system supplies energy and mark it as a designated energy consumption area; SS2: randomly select a designated energy consumption area, and take the designated energy consumption area as an example to collect information on the historical power consumption and environmental information in the designated energy consumption area, wherein when collecting information on the designated energy consumption area, the time for collecting information on the designated energy consumption area is the interval period in the n cycle time; SS3: Taking environmental information as the independent variable factor and the power consumption of the specified energy consumption area as the dependent variable factor, a two-dimensional coordinate system is established again, and the environmental information and power consumption are marked in the two-dimensional coordinate system. At the same time, the polynomial regression algorithm is used to linearly fit multiple points in the two-dimensional coordinate system to obtain the local power consumption curve of this specified power consumption area.

3. The method for collaborative planning of power system energy storage and transmission network according to claim 2, characterized in that: The cycle time is set to one year, and the interval time period setting methods include: Set the deadline time, take the current time as the time node, and set the interval time according to the deadline time. Furthermore, in the interval time, the current time is the midpoint of the interval time, and the deadline time is set to 30 days.

4. The method for collaborative planning of power system energy storage and transmission network according to claim 2, characterized in that: The setting methods of the comprehensive time curve include: Extract the historical power consumption in the specified energy consumption area interval, then set the unit time, divide the historical power consumption according to the unit time, and obtain the unit power consumption, where the unit time is set to 1 hour; Then set 24 hours as a cycle, and divide the time in the interval into 24 hours, to get m times, where 24 hours is set according to the start time of the natural day. At this time, m=n×30, 30 represents 30 days in the deadline; Set time as the horizontal axis and unit power consumption as the vertical axis to establish a two-dimensional coordinate system, where the value of the horizontal axis is 0-23, representing each integer time point in a natural day, and then mark the unit power consumption in the selected interval time period in this two-dimensional coordinate system, and fit the corresponding unit time in a cycle into a unit change curve; The unit times in all cycles in the interval period are fitted in a two-dimensional coordinate system to obtain m unit change curves, and finally the m unit change curves are fitted into a comprehensive time curve based on Matlab software.

5. The method for collaborative planning of power system energy storage and transmission network according to claim 1, characterized in that: The time zone division methods include: Obtain the comprehensive time curves corresponding to all specified power consumption areas, obtain the power consumption threshold in the target area, and divide the power consumption in the comprehensive time curve into a high-load area and a low-load area, wherein the high-load area refers to the time when the unit power consumption in the comprehensive time curve is greater than or equal to the power consumption threshold, and conversely, the low-load area refers to the time when the unit power consumption in the comprehensive time curve is less than the power consumption threshold. Then, based on the high-load area and the low-load area, divide the comprehensive time curve into several time areas, wherein one time area is a continuous and uninterrupted interval.

6. The method for collaborative planning of power system energy storage and transmission network according to claim 5, characterized in that: Methods for determining total transport loss energy include: ST1: Based on the current time of the target area, collect real-time meteorological information, where the meteorological information includes temperature, wind speed and weather conditions; Obtain the local power consumption curve corresponding to each designated energy consumption area in the target area, then use the real-time collected meteorological information as input data, input it into the function corresponding to the local power consumption curve of the designated energy consumption area, and perform calculations to obtain the local power consumption prediction value; ST2: Based on the overall line distribution map of the target area, identify the locations of the characteristic power equipment and the energy storage system in the overall line distribution map; ST3: arbitrarily select a designated energy consumption area and mark it as the target energy consumption area, calculate the average power consumption in each time zone in the target energy consumption area, and obtain the average power consumption HDi, where i represents different time zones, and i=1, 2, ..., I, indicating that there are I time zones in the comprehensive time curve; Obtain the transmission distance d between the new energy power generation equipment and the target energy consumption area, based on the formula Get the line loss energy Whi in the target energy consumption area in time zone i, where U is the line voltage, is the power factor, ti is the total duration of the time zone, ρ is the line resistivity, S is the cross-sectional area of ​​the line, represents the error correction factor; According to the above method, the line loss energy WHi of all time zones in the target energy consumption area is calculated, and then based on the formula The total transportation loss energy XS of the target energy consumption area is obtained.

7. The method for collaborative planning of power system energy storage and transmission network according to claim 6, characterized in that: The calculation method of energy storage loss value includes: Extract the local power consumption prediction value of the target energy consumption area, use the local power consumption prediction value as the power storage value DC, obtain the comprehensive time curve again, and identify the minimum power consumption mean HDx in the comprehensive time curve. Use the formula Get the energy storage loss value CH, where: is the loss factor of the energy storage system, , tc represents the total time it takes for the energy storage system in the target specified area to store energy to the power storage value DC.

8. The method for collaborative planning of power system energy storage and transmission network according to claim 1, characterized in that: The method for determining the final transmission plan for a designated energy consumption area includes: The total transportation loss energy XS of the target energy consumption area is compared with the energy storage loss value CH. If XS≤CH, the power transmission method of the target energy consumption area is set to real-time transmission, that is, the electricity generated by the new energy power generation equipment is directly transmitted to the power consumers in the target energy consumption area. Conversely, if XS>CH, the energy of the new energy power generation equipment is first stored in the energy storage station, and then the time point corresponding to the minimum average power consumption in the target energy consumption area is identified, and at this time point, the electric energy in the energy storage station is transmitted to the energy storage system corresponding to the target energy consumption area.

9. A power system energy storage and transmission network collaborative planning system, the collaborative planning system being based on the power system energy storage and transmission network collaborative planning method as described in any one of claims 1 to 8, characterized in that: include: An information collection module is used to collect the overall route distribution map of the target area; The local power analysis module sets multiple designated energy consumption areas in the target area based on the power supply area of ​​the energy storage system, and then analyzes the historical power consumption information in the designated energy consumption areas to determine the local power consumption curve and the comprehensive time curve in the designated energy consumption areas; The power transportation analysis module is used to determine the local power consumption forecast value of the current time stage according to the local power consumption curve, and then divide the comprehensive time curve into multiple time zones for the power consumption in the comprehensive time curve, and then calculate the line loss energy in each time zone, and determine the total transportation loss energy of the specified energy consumption zone, and then calculate the energy storage loss value of the energy storage equipment in the specified energy consumption zone based on the local power consumption forecast value, and finally compare the total transportation loss energy with the energy storage loss value, and determine the final power transmission plan for the specified energy consumption zone based on the comparison result; The action execution module is used to transmit electricity to each designated energy consumption area according to the power transmission scheme selected by the designated energy consumption area.

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