A method and system for analyzing the coordinated layout of transmission network and energy storage considering line transmission potential

Abstract

The present invention discloses a method and system for analyzing the coordinated layout of a transmission network and energy storage that takes into account the transmission potential of power lines. The method includes: dynamically adjusting transmission capacity based on line parameters and ambient temperature; secondly, dividing the power grid into different regional types based on the power and electricity balance model of each regional power grid in different seasons, and performing N-1 verification in combination with the revised transmission capacity to accurately identify seasonally blocked lines; for blocked lines, exploring dynamic transmission potential by evaluating the impact of different seasonal temperatures on current carrying capacity; finally, formulating multiple candidate solutions that meet transmission capacity requirements, constructing a network-storage collaborative planning model, comparing economic efficiency with the goal of minimizing total cost, and selecting the optimal solution that is safe and economical. Through dynamic capacity expansion, energy storage coordinated peak shaving, and safety threshold control, line utilization is significantly improved, overload risks are reduced, and stable operation of the power grid is ensured while meeting the N-1 criterion, thereby improving power grid operating efficiency and economic benefits.

Description

Technical Field

[0001] The present invention belongs to the technical field of power grid planning, and in particular relates to a method and system for analyzing the coordinated layout of a power transmission network and energy storage considering the transmission potential of the lines. Background Art

[0002] Traditional grid planning typically separates the transmission network from power generation and flexible regulation resources (such as energy storage). With the large-scale integration of renewable energy into the grid, its volatility has led to complex and volatile grid flows. A single transmission network plan is unable to meet the system's economical and flexible operation requirements.

[0003] Currently, research has focused on alleviating transmission network pressures under high renewable energy integration by focusing on transmission network expansion planning and transmission-storage coordination planning. However, these approaches only consider the transmission capacity of transmission lines under a single ambient temperature, without factoring in the transmission potential of transmission lines under different seasonal temperatures. Furthermore, existing planning methods rarely consider the synergy between transmission lines and energy storage. Therefore, this paper proposes a coordinated layout analysis method for transmission networks and energy storage that considers transmission potential. Summary of the Invention

[0004] In response to the above technical problems, the present invention provides a method and system for analyzing the coordinated layout of a transmission network and energy storage systems taking into account the transmission potential of the lines.

[0005] The technical solution adopted by the present invention to solve the technical problem is:

[0006] A method for analyzing the coordinated layout of a transmission network and energy storage considering the transmission potential of the line, the method comprising the following steps:

[0007] S100: Acquire data information of the target area power grid and determine the transmission capacity of each line;

[0008] S200: Based on the power balance model of each regional power grid in different seasons, the power grid is divided into different regional types, an "N-1" fault simulation is performed on each transmission line, and blocked circuits are marked; where N represents the total number of independent components in the power grid under normal operation;

[0009] S300: Performs dynamic transmission capacity analysis on blocked lines. By evaluating the impact of seasonal ambient temperatures on line operation and calculating the line's current-carrying capacity, it unlocks the maximum transmission potential of blocked lines within the transmission network.

[0010] S400: Develop multiple candidate solutions that meet transportation capacity requirements, build a network-storage collaborative planning model, use the minimization of total cost during the planning period as the objective function, compare the full-cycle costs of various solutions, and ultimately select the collaborative layout strategy that meets transportation requirements and has the best cost.

[0011] Preferably, S100 includes:

[0012] S110: Obtaining the line conductor cross-section, voltage level, line conductor temperature, ambient temperature, and power factor, determining the allowable current carrying capacity of the conductor based on the line conductor cross-section, and calculating the uncorrected line transmission capacity based on the allowable current carrying capacity and voltage level of the conductor;

[0013] S120: Determine the temperature coefficient based on the line conductor temperature and the ambient temperature, and dynamically correct the transmission capacity of each line in combination with the measured power factor to obtain the seasonally differentiated corrected line transmission capacity, specifically:

[0014] ;

[0015] Among them, S represents the corrected line transmission capacity, that is, the line transmission capacity taking into account the temperature coefficient and power factor, S0 represents the uncorrected line transmission capacity, that is, the line transmission capacity before taking into account the temperature coefficient and power factor, α represents the power factor, β represents the temperature coefficient, U represents the nominal voltage of the line, and I represents the allowable current carrying capacity of the conductor.

[0016] Preferably, S200 includes:

[0017] S210: Construct a regional power balance model by season, quantify the power surplus rate of each region, and then classify the regions into types; the regional types include new energy transmission areas, load center areas, and power exchange areas;

[0018] S220: Filter out the lines that do not meet the N-1 verification calculation as key lines. Combined with the seasonally corrected dynamic transmission capacity, simulate the "N-1" fault scenario line by line and calculate the power flow of the remaining lines.

[0019] S230: Setting a safety threshold. If a line is disconnected, causing the load rate or voltage deviation of other lines to be greater than the safety threshold, the line is marked as blocked.

[0020] Preferably, S300 includes:

[0021] S310: Based on the historical operating data of the target line and meteorological monitoring information, obtain the typical ambient temperature and corresponding conductor temperature in different seasons, and define the ambient temperature coefficient and conductor temperature coefficient;

[0022] S320: Quantify the dynamic transmission capacity under various temperature combinations using piecewise functions. Combined with the grid dispatching system, compare blocked lines in different seasons to identify the season with the most severe congestion.

[0023] S330: During the congestion season, the ambient temperature coefficient is adjusted to tap the transmission potential of the line.

[0024] Preferably, in S320, the dynamic transport capacity under each temperature combination is quantified by a piecewise function, specifically:

[0025] ;

[0026] Where, represents the ambient temperature coefficient, represents the conductor temperature coefficient, Indicates the conveying capacity under the temperature coefficient corresponding to the ambient temperature of 25°C. Indicates the conveying capacity under the temperature coefficient corresponding to the ambient temperature of 35°C. Indicates the conveying capacity under the temperature coefficient corresponding to the ambient temperature of 40°C.

[0027] Preferably, S400 includes:

[0028] S410: Based on the transmission capacity gap and seasonal congestion characteristics of the power grid, formulate multiple candidate solutions to meet the transmission capacity requirements;

[0029] S420: Construct a grid-storage collaborative planning model with the objective function of minimizing the total cost within the planning period. This model further embeds constraints, including power balance and the N-1 safety criterion.

[0030] S430: Solve the mixed integer programming model, compare the full-cycle costs of various solutions, and ultimately select the transmission network and energy storage coordinated layout strategy that meets transmission needs and has the best cost.

[0031] Preferably, the objective function in S420 is specifically:

[0032] ;

[0033] Where, represents the annual cost of the system, represents the construction investment cost, Indicates operating cost;

[0034] Construction investment cost Including energy storage construction costs , Transmission network construction costs , calculated as follows:

[0035] ;

[0036] ;

[0037] Where, and Respectively represent the installed capacity of energy storage power stations and the unit installed investment cost; and They represent the battery capacity of the energy storage power station and the investment cost per unit capacity respectively; and They represent line length and investment cost per kilometer respectively;

[0038] Operating costs include energy storage operating costs , transmission network operating costs , calculated as follows:

[0039] ;

[0040] Where, Indicates the unit price of operating cost;

[0041] ;

[0042] Where, Represents the operating cost coefficient.

[0043] A transmission network and energy storage coordinated layout analysis system that considers line transmission potential includes a line transmission capacity determination module, a blocked line marking module, a blocked line dynamic transmission capacity analysis module, and a solution determination module;

[0044] The line transmission capacity determination module is used to obtain data information of the target area power grid and determine the transmission capacity of each line;

[0045] The blocked line marking module is used to divide the power grid into different regional types based on the power balance model of each regional power grid in different seasons, perform "N-1" fault simulation on each transmission line, and mark the blocked circuits; where N represents the total number of independent components in the power grid under normal operation;

[0046] The Blocked Line Dynamic Transmission Capacity Analysis module is used to analyze the dynamic transmission capacity of blocked lines. By evaluating the impact of ambient temperature in different seasons on line operation and calculating the line's current carrying capacity, it can tap into the maximum transmission potential of blocked lines in the transmission network.

[0047] The scheme determination module is used to formulate multiple candidate schemes that meet the transportation capacity requirements, build a network-storage collaborative planning model, take minimizing the total cost during the planning period as the objective function, compare the full-cycle costs of various schemes, and ultimately select the collaborative layout strategy that meets the transportation requirements and has the best cost.

[0048] A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the steps of a method for analyzing the coordinated layout of a transmission network and energy storage considering the transmission potential of the line.

[0049] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for analyzing the coordinated layout of a transmission network and energy storage considering the transmission potential of the line.

[0050] The above-mentioned method and system for analyzing the coordinated layout of transmission networks and energy storage, which takes into account the transmission potential of transmission lines, effectively improves the transmission efficiency and operational economy of power grids with a high proportion of renewable energy by comprehensively considering the correction of dynamic transmission capacity of transmission lines, seasonal power balance modeling, N-1 safety verification, and multi-scheme economic optimization. Instead of controlling the transmission capacity of transmission lines with a single temperature coefficient, the coefficient is adjusted according to seasonal temperature to tap into the transmission potential of transmission lines, making the control of transmission capacity more adaptable to the actual operation of the power grid. Comprehensively considering the coordinated effect of transmission networks and energy storage has significant advantages over building either transmission lines or energy storage separately. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 This is a flow chart of a method for analyzing the coordinated layout of a transmission network and energy storage considering the transmission potential of the lines in one embodiment of the present invention;

[0052] Figure 2 This is a schematic diagram of planning in one embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention is further described in detail below with reference to the accompanying drawings.

[0054] In one embodiment, Figure 1 As shown, a transmission network and energy storage coordinated layout analysis method considering line transmission potential is characterized in that the method includes the following steps:

[0055] S100: Acquire data information of the target area power grid and determine the transmission capacity of each line;

[0056] S200: Based on the power balance model of each regional power grid in different seasons, the power grid is divided into different regional types, an "N-1" fault simulation is performed on each transmission line, and blocked circuits are marked; where N represents the total number of independent components in the power grid under normal operation;

[0057] S300: Performs dynamic transmission capacity analysis on blocked lines. By evaluating the impact of seasonal ambient temperatures on line operation and calculating the line's current-carrying capacity, it unlocks the maximum transmission potential of blocked lines within the transmission network.

[0058] S400: Develop multiple candidate solutions that meet transportation capacity requirements, build a network-storage collaborative planning model, use the minimization of total cost during the planning period as the objective function, compare the full-cycle costs of various solutions, and ultimately select the collaborative layout strategy that meets transportation requirements and has the best cost.

[0059] This method for analyzing the coordinated layout of transmission networks and energy storage, taking into account the transmission potential of transmission lines, comprehensively considers the synergistic effects of the transmission network and energy storage, offering significant advantages over building either transmission lines or energy storage separately. Instead of relying solely on a single temperature coefficient to control transmission capacity, the coefficient is adjusted based on seasonal temperatures, tapping into the transmission potential of transmission lines and enabling control of transmission capacity that is more adaptable to actual grid operations.

[0060] In one embodiment, S100 includes:

[0061] S110: Obtaining the line conductor cross-section, voltage level, line conductor temperature, ambient temperature, and power factor, determining the allowable current carrying capacity of the conductor based on the line conductor cross-section, and calculating the uncorrected line transmission capacity based on the allowable current carrying capacity and voltage level of the conductor;

[0062] S120: Determine the temperature coefficient based on the line conductor temperature and the ambient temperature, and dynamically correct the transmission capacity of each line in combination with the measured power factor to obtain the seasonally differentiated corrected line transmission capacity, specifically:

[0063] ;

[0064] Among them, S represents the corrected line transmission capacity, that is, the line transmission capacity taking into account the temperature coefficient and power factor, S0 represents the uncorrected line transmission capacity, that is, the line transmission capacity before taking into account the temperature coefficient and power factor, α represents the power factor, β represents the temperature coefficient, U represents the nominal voltage of the line, and I represents the allowable current carrying capacity of the conductor.

[0065] Specifically, the temperature coefficient is calculated based on the thermal properties of the conductor material (such as the temperature coefficient of resistance) and ambient temperature variations. For example, in high-temperature environments, the conductor's heat dissipation capacity decreases, reducing the β value and, consequently, transmission capacity. The power factor is derived from grid operating data and is typically less than 1, reflecting the influence of reactive power. Line transmission capacity refers to the maximum active power that a line can safely and stably transmit while meeting all safety constraints.

[0066] In one embodiment, S200 includes:

[0067] S210: Construct a regional power balance model by season (i.e., select loads and power output for the four seasons of spring, summer, autumn, and winter for power balance analysis), quantify the power surplus rate of each region, and then classify the regions into types; the regional types include new energy transmission areas, load center areas, and power exchange areas;

[0068] S220: Filter out the lines that do not meet the N-1 verification calculation as key lines. Combined with the seasonally corrected dynamic transmission capacity, simulate the "N-1" fault scenario line by line and calculate the power flow of the remaining lines.

[0069] S230: Set a safety threshold. If a line is disconnected and causes the load rate of other lines to be greater than the safety threshold, the line is marked as blocked.

[0070] Specifically, the difference between renewable energy output and load demand determines the power surplus / shortage, and the power exchange direction is determined based on the surplus: A power surplus, considering various renewable energy outputs, and the availability of transmission channels are identified as a renewable energy transmission area; a power shortage, considering various renewable energy outputs, is identified as a load center area; a seasonal power shortage or surplus, considering various renewable energy outputs, and the need for cross-regional power transfer is identified as a power exchange area; and regional type labels are updated seasonally. For transmission channels in renewable energy transmission and power exchange areas, lines that do not meet the N-1 check calculation are identified as critical lines. Each critical line is simulated for disconnection, and the power flow distribution of the remaining lines is calculated. The remaining lines are checked to see if their load factor exceeds a safety threshold. If so, they are marked as blocked lines.

[0071] In one embodiment, S300 includes:

[0072] S310: Based on the historical operating data of the target line and meteorological monitoring information, obtain the typical ambient temperature and corresponding conductor temperature in different seasons, and define the ambient temperature coefficient and conductor temperature coefficient;

[0073] S320: Quantify the dynamic transmission capacity under various temperature combinations using piecewise functions. Combined with the grid dispatching system, compare blocked lines in different seasons to identify the season with the most severe congestion.

[0074] S330: During the congestion season, the ambient temperature coefficient is adjusted to tap the transmission potential of the line.

[0075] Specifically, typical ambient temperatures in different seasons are 25°C, 35°C, and 40°C, corresponding to conductor temperatures of 70°C in summer and 40°C in winter. In S330, a real-time conductor temperature monitoring system is deployed in conjunction with a meteorological control platform for the congestion season, dynamically adjusting operating limits. In summer, this is achieved by reducing the ambient temperature coefficient, deploying energy storage systems, and allowing for short periods of overload operation. This establishes a seasonally adaptive potential release strategy library to enhance transmission potential during the congestion season.

[0076] In one embodiment, in S320, the dynamic transport capacity under each temperature combination is quantified by a piecewise function, specifically:

[0077] ;

[0078] Where, represents the ambient temperature coefficient, represents the conductor temperature coefficient, Indicates the conveying capacity under the temperature coefficient corresponding to the ambient temperature of 25°C Indicates the conveying capacity under the temperature coefficient corresponding to the ambient temperature of 35°C. Indicates the conveying capacity under the temperature coefficient corresponding to the ambient temperature of 40°C.

[0079] Furthermore, L1, L2, and L3 can be found through the power engineering manual - line conductor cross-section selection and transmission capacity table in power system planning and design.

[0080] In one embodiment, S400 includes:

[0081] S410: Based on the transmission capacity gap and seasonal congestion characteristics of the power grid, formulate multiple candidate solutions to meet the transmission capacity requirements;

[0082] S420: Construct a grid-storage collaborative planning model with the objective function of minimizing the total cost within the planning period. This model further embeds constraints, including power balance and the N-1 safety criterion.

[0083] S430: Solve the mixed integer programming model, compare the full-cycle costs of various solutions, and ultimately select the transmission network and energy storage coordinated layout strategy that meets transmission needs and has the best cost.

[0084] Specifically, candidate options include strengthening line channels only, or simultaneously strengthening line channels and laying out energy storage, or combining line channels and laying out energy storage with the potential of transmission lines.

[0085] In one embodiment, the objective function in S420 is specifically:

[0086] ;

[0087] Where, represents the annual cost of the system, represents the construction investment cost, Indicates operating cost;

[0088] Construction investment cost Including energy storage construction costs , Transmission network construction costs , calculated as follows:

[0089] ;

[0090] ;

[0091] Where, and Respectively represent the installed capacity of energy storage power stations and the unit installed investment cost; and They represent the battery capacity of the energy storage power station and the investment cost per unit capacity respectively; and They represent line length and investment cost per kilometer respectively;

[0092] Operating costs include energy storage operating costs , transmission network operating costs , calculated as follows:

[0093] ;

[0094] Where, Indicates the unit price of operating cost;

[0095] ;

[0096] Where, Represents the operating cost coefficient.

[0097] The above-mentioned method for analyzing the coordinated layout of transmission networks and energy storage, which takes into account the transmission potential of transmission lines, effectively improves the transmission efficiency and operational economy of power grids with a high proportion of new energy by comprehensively considering the correction of dynamic transmission capacity of lines, seasonal power balance modeling, N-1 safety verification, and multi-scheme economic optimization. First, based on the real-time monitoring of conductor temperature and environmental parameters, the line current carrying capacity is dynamically adjusted to improve line utilization. Second, by dividing the new energy transmission area, load center area, and power exchange area by season, and implementing N-1 verification based on the corrected transmission capacity, seasonally blocked lines are accurately identified to reduce overload risks. Energy storage coordination strategies are further deployed for the blocking season, combined with dynamic capacity expansion technology to reduce line upgrade investment. Finally, through the network-storage coordination planning model, the economic benefits of pure line upgrades and energy storage hybrid solutions are compared. The optimal solution can reduce the full-cycle cost while ensuring the stability of voltage deviation under the N-1 criterion, providing a safe, economical, and flexible expansion path for the new power system.

[0098] In a specific example, Figure 2 As shown in the figure, a target regional power grid in a province was selected, and it was found that the demand for renewable energy transmission in the spring is greater than the electricity demand in other seasons. To meet the electricity demand in the region in all seasons, a transmission network potential analysis and energy storage coordinated layout plan analysis were conducted specifically for the situation where the demand for renewable energy transmission is the highest in spring.

[0099] The key lines of the transmission network are Substation F to Converter Station B, Substation D to Substation N, Substation I to Substation J, and Substation A to Substation B. Considering that the transmission capacity of these lines is determined based on the existing conductor temperature and ambient temperature, the transmission capacity of each line is shown in Table 1 below:

[0100] Table 1

[0101]

[0102] Combining the regional power grid's spring power transmission performance, the line's maximum transmission capacity, and the calculation results for Line "N-1," we identified the line from Substation D to Substation N as the one experiencing power transmission congestion. At this point, the region's maximum achievable transmission demand is 8 million kilowatts.

[0103] In order to meet the maximum power transmission demand of 10 million kilowatts in the spring of the planned year, the following scenarios are proposed:

[0104] Scenario 1: Transmission network planning only; Scenario 2: Transmission-storage coordinated planning; Scenario 3: Transmission-storage coordinated planning of the transmission network planning taking into account the line potential.

[0105] The comparison of construction investment and system cost results for each scenario is shown in Table 2:

[0106] Table 2

[0107]

[0108] Note: The energy storage construction cost is 1,700 yuan / kW and the operating cost is 60 yuan / kW; the line construction cost is 6 million yuan / km and the operating cost is calculated at 2% of the construction cost.

[0109] Finally, the transmission network and energy storage coordinated layout strategy of scenario 3 is selected to meet the transmission demand and optimize the cost.

[0110] In one embodiment, a transmission network and energy storage coordinated layout analysis system considering line transmission potential is also provided, comprising a line transmission capacity determination module, a blocked line marking module, a blocked line dynamic transmission capacity analysis module, and a solution determination module;

[0111] The line transmission capacity determination module is used to obtain data information of the target area power grid and determine the transmission capacity of each line;

[0112] The blocked line marking module is used to divide the power grid into different regional types based on the power balance model of each regional power grid in different seasons, perform "N-1" fault simulation on each transmission line, and mark the blocked circuits; where N represents the total number of independent components in the power grid under normal operation;

[0113] The Blocked Line Dynamic Transmission Capacity Analysis module is used to analyze the dynamic transmission capacity of blocked lines. By evaluating the impact of ambient temperature in different seasons on line operation and calculating the line's current carrying capacity, it can tap into the maximum transmission potential of blocked lines in the transmission network.

[0114] The scheme determination module is used to formulate multiple candidate schemes that meet the transportation capacity requirements, build a network-storage collaborative planning model, take minimizing the total cost during the planning period as the objective function, compare the full-cycle costs of various schemes, and ultimately select the collaborative layout strategy that meets the transportation requirements and has the best cost.

[0115] Regarding the specific definition of a transmission network and energy storage coordinated layout analysis system considering line transmission potential, please refer to the definition of a transmission network and energy storage coordinated layout analysis method considering line transmission potential above, which will not be repeated here. Each module in the above-mentioned transmission network and energy storage coordinated layout analysis system considering line transmission potential can be implemented in whole or in part through software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above modules.

[0116] A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the steps of a method for analyzing the coordinated layout of a transmission network and energy storage considering the transmission potential of the line.

[0117] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for analyzing the coordinated layout of a transmission network and energy storage considering the transmission potential of the line.

[0118] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the above-described method embodiments. Any reference to memory, storage, database, or other media used in the embodiments provided herein may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0119] The above is a detailed introduction to a method and system for analyzing the coordinated layout of a transmission network and energy storage that takes into account the transmission potential of the line provided by the present invention. This article uses specific examples to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the core idea of ​​the present invention. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present invention, the present invention can also be improved and modified in several ways, and these improvements and modifications also fall within the scope of protection of the claims of the present invention.

Claims

1. A method for analyzing the coordinated layout of transmission networks and energy storage systems taking into account the transmission potential of transmission lines, characterized in that: The method comprises the following steps: S100: Obtain data information of the target area power grid and determine the transmission capacity of each line; S100 includes: S110: Obtaining the line conductor cross-section, voltage level, line conductor temperature, ambient temperature, and power factor, determining the allowable current carrying capacity of the conductor based on the line conductor cross-section, and calculating the uncorrected line transmission capacity based on the allowable current carrying capacity and voltage level of the conductor; S120: Determine the temperature coefficient based on the line conductor temperature and the ambient temperature, and dynamically correct the transmission capacity of each line in combination with the measured power factor to obtain the seasonally differentiated corrected line transmission capacity, specifically: ； Where S represents the corrected line transmission capacity, i.e., the line transmission capacity taking into account the temperature coefficient and power factor; S0 represents the uncorrected line transmission capacity, i.e., the line transmission capacity before taking into account the temperature coefficient and power factor; α represents the power factor; β represents the temperature coefficient; U represents the nominal voltage of the line; and I represents the allowable current carrying capacity of the conductor. S200: Based on the seasonal power balance models of each regional power grid, the power grid is divided into different regional types. An "N-1" fault simulation is performed on each transmission line, and blocked circuits are marked. Where N represents the total number of independent components in the power grid under normal operation. S300: Performs dynamic transmission capacity analysis on blocked lines. By evaluating the impact of seasonal ambient temperatures on line operation and calculating the line's current-carrying capacity, it unlocks the maximum transmission potential of blocked lines within the transmission network. S300 includes: S310: Based on the historical operating data of the target line and meteorological monitoring information, obtain the typical ambient temperature and corresponding conductor temperature in different seasons, and define the ambient temperature coefficient and conductor temperature coefficient; S320: Quantify the dynamic transmission capacity under various temperature combinations using piecewise functions. Combined with the grid dispatching system, compare blocked lines in different seasons to identify the season with the most severe congestion. S330: For the congestion season, the ambient temperature coefficient is adjusted to tap the transmission potential of the line; S400: Develop multiple candidate solutions that meet transportation capacity requirements, build a network-storage collaborative planning model, use the minimization of total cost during the planning period as the objective function, compare the full-cycle costs of various solutions, and ultimately select the collaborative layout strategy that meets transportation requirements and has the best cost.

2. The method according to claim 1, characterized in that S200 includes: S210: Construct a regional power balance model by season, quantify the power surplus rate of each region, and then classify the regions into types; the regional types include new energy transmission areas, load center areas, and power exchange areas; S220: Filter out lines that do not meet the N-1 verification calculation as key lines. Combined with the seasonally adjusted dynamic transmission capacity, simulate the "N-1" failure scenario line by line and calculate the power flow of the remaining lines. S230: Setting a safety threshold. If a line is disconnected, causing the load rate or voltage deviation of other lines to be greater than the safety threshold, the line is marked as blocked.

3. The method according to claim 2, characterized in that In S320, the dynamic transport capacity under each temperature combination is quantified by a piecewise function, specifically: ； Where, represents the ambient temperature coefficient, represents the conductor temperature coefficient, Indicates the conveying capacity under the temperature coefficient corresponding to the ambient temperature of 25°C. Indicates the conveying capacity under the temperature coefficient corresponding to the ambient temperature of 35°C. Indicates the conveying capacity under the temperature coefficient corresponding to the ambient temperature of 40°C.

4. The method according to claim 3, characterized in that S400 includes: S410: Based on the transmission capacity gap and seasonal congestion characteristics of the power grid, formulate multiple candidate solutions to meet the transmission capacity requirements; S420: Construct a grid-storage collaborative planning model with the objective function of minimizing the total cost within the planning period. This model further embeds constraints, including power balance and the N-1 safety criterion. S430: Solve the mixed integer programming model, compare the full-cycle costs of various solutions, and ultimately select the transmission network and energy storage coordinated layout strategy that meets transmission needs and has the best cost.

5. The method according to claim 4, characterized in that The specific objective function in S420 is: ； Where, represents the annual cost of the system, represents the construction investment cost, Indicates operating cost; Construction investment cost Including energy storage construction costs , Transmission network construction costs , calculated as follows: ； ； Where, and Respectively represent the installed capacity of energy storage power stations and the unit installed investment cost; and They represent the battery capacity of the energy storage power station and the investment cost per unit capacity respectively; and They represent line length and investment cost per kilometer respectively; Operating costs include energy storage operating costs , transmission network operating costs , calculated as follows: ； Where, Indicates the unit price of operating cost; ； Where, Represents the operating cost coefficient.

6. A transmission network and energy storage coordinated layout analysis system considering line transmission potential using the method according to any one of claims 1 to 5, characterized in that: It includes a line transmission capacity determination module, a blocked line marking module, a blocked line dynamic transmission capacity analysis module and a solution determination module; The line transmission capacity determination module is used to obtain data information of the target area power grid and determine the transmission capacity of each line; The blocked line marking module is used to divide the power grid into different regional types based on the power balance model of each regional power grid in different seasons, perform "N-1" fault simulation on each transmission line, and mark the blocked circuits; where N represents the total number of independent components in the power grid under normal operation; The Blocked Line Dynamic Transmission Capacity Analysis module is used to analyze the dynamic transmission capacity of blocked lines. By evaluating the impact of ambient temperature in different seasons on line operation and calculating the line's current carrying capacity, it can tap into the maximum transmission potential of blocked lines in the transmission network. The scheme determination module is used to formulate multiple candidate schemes that meet the transportation capacity requirements, build a network-storage collaborative planning model, take minimizing the total cost during the planning period as the objective function, compare the full-cycle costs of various schemes, and ultimately select the collaborative layout strategy that meets the transportation requirements and has the best cost.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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