Electric power spot market structure cost analysis method and system based on multi-dimensional dynamic factors

Abstract

The invention discloses an electric power spot market structure cost analysis method and system based on a multi-dimensional dynamic factor, and the method comprises the steps: obtaining multi-dimensional dynamic factor data, which comprises power generation side electric quantity data, user side electric quantity data and electricity price data; calculating the day-ahead deviation electric quantity and the actual deviation electric quantity of the power generation side according to the power generation side electric quantity data; calculating a balance point weighted price according to the electricity price data, the power generation side day-ahead deviation electric quantity and the actual deviation electric quantity; calculating the day-ahead deviation electric quantity and the actual deviation electric quantity of each type of user according to the user side electric quantity data; according to the electricity price data, the settlement balance point weighted price, the day-ahead deviation electric quantity of each type of user and the actual deviation electric quantity, calculating and analyzing the market structure cost caused by each type of user; and calculating the total market structure cost according to the market structure cost caused by the various users. The invention aims to reduce the market structure cost by finely analyzing the composition and change trend of the market structure cost.

Description

Technical Field

[0001] This invention relates to a method and system for analyzing the structure and cost of the electricity spot market, and more particularly to a method and system for analyzing the structure and cost of the electricity spot market based on multidimensional dynamic factors. Background Technology

[0002] Promoting the development of the electricity spot market is of significant practical importance for discovering time-of-use pricing, ensuring peak-hour power supply and off-peak renewable energy consumption, and guaranteeing power security. Market structure costs are a crucial component of the electricity spot market. Higher market structure costs can lead to increased electricity prices for end-users, impacting user participation and the stable operation of the electricity spot market. Therefore, a refined analysis of market structure costs is needed to assess their sources and levels, supporting the optimization of trading and settlement rules. Existing calculation methods can only calculate market structure costs for the entire month, failing to provide a detailed analysis of their sources and levels. Summary of the Invention

[0003] Purpose of the invention: The purpose of this invention is to provide a method and system for analyzing the structure and cost of the electricity spot market based on multidimensional dynamic factors, so as to refine the analysis of market structure, cost and level.

[0004] Technical Solution: The present invention provides a method for analyzing the structure and cost of the electricity spot market based on multidimensional dynamic factors, including...

[0005] Acquire multidimensional dynamic factor data, including power generation data, user power generation data, and electricity price data;

[0006] Calculate the day-ahead deviation and actual deviation of the power generation side based on the power generation side power data;

[0007] The settlement balance point weighted price is calculated based on the electricity price data, the day-ahead deviation of the generation side, and the actual deviation of the generation side.

[0008] The daily deviation and actual deviation of electricity for various types of users are calculated based on the user-side electricity data, including daily clearing users, monthly clearing electricity sales companies, independent users, residential and agricultural users, line loss users, and agency industrial and commercial users.

[0009] Based on the electricity price data, the weighted average price at the settlement balance point, the day-ahead deviation electricity volume and the actual deviation electricity volume of various types of users, the market structure costs caused by various types of users are calculated and analyzed.

[0010] Calculate the total market structure cost based on the market structure costs incurred by the aforementioned user types.

[0011] Furthermore, according to claim 1, the method for analyzing the structure and cost of the electricity spot market based on multidimensional dynamic factors is characterized in that the power generation data includes medium- and long-term contract power Q.发电侧，合约 The electricity volume Q was cleared up recently. 发电侧，日前出清 Actual online power consumption Q 发电侧，实际上网 ;

[0012] Electricity consumption data includes the electricity volume under long-term contracts with Nissin customers (Q). 日清，合约 The electricity volume Q was cleared up recently. 日清，日前出清 Actual electricity consumption Q 日清，实际用电 ; Yueqing Electricity Sales Company's medium- and long-term electricity volume Q 月清，合约 Actual electricity consumption Q 月清，实际用电 ; Actual electricity consumption of independent users Q 独立，实际用电 ; Residential and agricultural medium- and long-term contract electricity volume Q 居民农业，合约 Matching optimal power generation Q 居民农业，优发 Actual electricity consumption Q 居民农业，实际用电 Line loss in medium- and long-term contract electricity volume Q 线损，合约 Matching optimal power generation Q 线损，优发 Actual electricity consumption Q 线损，实际用电 Agent for medium- and long-term electricity contracts in industrial and commercial sectors Q 代理工商业，合约 Matching optimal power generation Q 代理工商业，优发 Actual electricity consumption Q 代理工商业，实际用电 Matching the remaining optimal power generation Q 剩余优发 ;

[0013] Electricity price data includes the day-ahead unified settlement point price P. 日前，统一 Real-time unified settlement point price P 实时，统一 And monthly average spot price P 月度现货 ;

[0014] Furthermore, the day-ahead deviation and actual deviation of the power generation on the power generation side are calculated based on the power generation data, using the following formula:

[0015] Q 发电侧，日前偏差 =Q 发电侧，日前出清 -Q 发电侧，合约 ;

[0016] Q 发电侧，实际偏差 =Q 发电侧，实际用电 -Q 发电侧，日前出清 ;

[0017] Among them, Q 发电侧，日前偏差 Q represents the day-ahead deviation of the power generation side; 发电侧，实际偏差 This represents the actual deviation in electricity generation on the power generation side.

[0018] Furthermore, based on the aforementioned electricity price data, the day-ahead deviation of power generation, and the actual deviation of power generation, the weighted average price at the settlement break-even point is calculated using the following formula:

[0019] P 结算平衡点 =(Q 发电侧，日前偏差 ×P 日前，统一 + Q 发电侧，实际偏差 ×P实时，统一 ) / (Q 发电侧，日前偏差 + Q 发电侧，实际偏差 );

[0020] Among them, P 结算平衡点 The weighted price for the settlement equilibrium point.

[0021] Furthermore, based on the user-side electricity data, the daily deviation electricity and actual deviation electricity for various types of users are calculated, including daily clearing users, monthly clearing electricity sales companies, independent users, residential and agricultural users, line loss users, and agency industrial and commercial users, as shown in the following formula:

[0022] Q 日清，日前偏差 =Q 日清，日前出清 -Q 日清，合约 ;

[0023] Q 日清，实际偏差 =Q 日清，实际用电 -Q 日清，日前出清 ;

[0024] Q 月清，实际偏差 =Q 月清，实际用电 -Q 月清，合约 ;

[0025] Q 独立，实际偏差 =Q 独立，实际用电 ;

[0026] Q 居民农业，实际偏差 =Q 居民农业，实际用电 -Q 居民农业，合约 -Q 居民农业，优发 ;

[0027] Q 线损，实际偏差 =Q 线损，实际用电 -Q 线损，合约 -Q 线损，优发 ;

[0028] Q 代理工商业，实际偏差 =Q 代理工商业，实际用电 -Q 代理工商业，合约 -Q 代理工商业，优发 -Q 剩余优发 ;

[0029] Among them, Q 日清，日前偏差 For Nissin users, the day-ahead deviation in electricity consumption; Q 日清，实际偏差 This represents the actual deviation in electricity consumption for Nissin users; Q 月清，实际偏差 The actual deviation in electricity consumption for the monthly electricity sales company; Q 独立，实际偏差 The actual deviation in power consumption for individual users; Q 居民农业，实际偏差 The actual deviation in electricity consumption for residential and agricultural use; Q 线损，实际偏差 Q represents the actual deviation in line loss; 代理工商业，实际偏差 This refers to the actual deviation in electricity consumption for industrial and commercial enterprises.

[0030] Furthermore, based on the aforementioned electricity price data, the weighted average price at the settlement break-even point, and the day-ahead and actual deviation electricity volumes for various types of users, the market structure costs caused by each type of user are calculated and analyzed in detail, using the following formula:

[0031] R 日清 = Q 日清，日前偏差 ×(P 日前，统一 -P 结算平衡点 ) + Q 日清，实际偏差 ×(P 实时，统一 -P 结算平衡点 );

[0032] R 月清 = Q 月清，实际偏差 ×(P 月度现货 -P 结算平衡点 );

[0033] R 独立 = Q 独立，实际偏差 ×(P 月度现货 -P 结算平衡点 );

[0034] R 居民农业 = Q 居民农业，实际偏差 ×(P 月度现货 -P 结算平衡点 );

[0035] R 线损 = Q 线损，实际偏差 ×(P 月度现货 -P 结算平衡点 );

[0036] R 代理工商业 = Q 代理工商业，实际偏差 ×(P 月度现货 -P 结算平衡点 );

[0037] Among them, R 日清 Market structure costs incurred for Nissin users; R 月清 Market structure costs incurred by monthly electricity sales companies; R 独立 Market structure costs incurred for individual users; R 居民农业 Market structure costs resulting from residential agriculture; R 线损 Market structure costs resulting from line loss; R 代理工商业 Market structure costs incurred by agents of industry and commerce.

[0038] Furthermore, the total market structure cost is calculated based on the market structure costs incurred by the aforementioned types of users;

[0039] R 总 = R 日清 + R 月清 + R 独立+ R 居民农业 + R 线损 + R 代理工商业 ;

[0040] Among them, R 总 Total market structure costs.

[0041] The present invention discloses a power spot market structure and cost analysis system based on multidimensional dynamic factors, comprising:

[0042] Multidimensional dynamic factor acquisition module: Acquires multidimensional dynamic factor data, including power generation data, user power generation data, and electricity price data;

[0043] The generator-side deviation power calculation module calculates the day-ahead deviation power and the actual deviation power based on the generator-side power data.

[0044] Settlement break-even point price calculation module: Calculates the settlement break-even point weighted price based on the electricity price data, the day-ahead deviation of the generation side, and the actual deviation of the generation side;

[0045] User-side deviation power calculation module: Calculates the daily deviation power and actual deviation power for various types of users based on the user-side power data, including daily clearing users, monthly clearing power sales companies, independent users, residential and agricultural users, line loss users, and agency industrial and commercial users;

[0046] Market structure cost analysis module: Calculates and analyzes market structure costs caused by various users based on the electricity price data, settlement balance point weighted price, day-ahead deviation electricity and actual deviation electricity of various users;

[0047] Total Market Structure Cost Calculation Module: Calculates the total market structure cost based on the market structure costs incurred by the various types of users.

[0048] The computer device of the present invention includes one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the programs, when executed by the processors, implement the steps of the method for analyzing the structure and cost of the electricity spot market based on multidimensional dynamic factors.

[0049] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for analyzing the structure and cost of the electricity spot market based on multidimensional dynamic factors.

[0050] Beneficial effects: Compared with the prior art, the present invention has the following significant advantages: The present invention can analyze the composition and changing trend of market structure costs in a refined manner, helping power grid companies to assess the source and level of market structure costs after the transaction settlement is completed, supporting the optimization of transaction and settlement rules, and achieving the goal of reducing market structure costs. Attached Figure Description

[0051] Figure 1 This is a flowchart of the method described in this invention. Detailed Implementation

[0052] The technical solution of the present invention will be further described below with reference to the accompanying drawings.

[0053] like Figure 1 As shown, this embodiment provides a method and system for analyzing the structure and cost of the electricity spot market based on multidimensional dynamic factors, including the following steps:

[0054] Step 1: Obtain multi-dimensional dynamic factor data, including power generation data, user power generation data, and electricity price data;

[0055] Power generation data includes medium- and long-term contracted power volume Q. 发电侧，合约 The electricity volume Q was cleared up recently. 发电侧，日前出清 Actual online power consumption Q 发电侧，实际上网 ;

[0056] Electricity consumption data includes the electricity volume under long-term contracts with Nissin customers (Q). 日清，合约 The electricity volume Q was cleared up recently. 日清，日前出清 Actual electricity consumption Q 日清，实际用电 Yueqing Electricity Sales Company's medium- and long-term electricity volume Q 月清，合约 Actual electricity consumption Q 月清，实际用电 Actual electricity consumption Q of independent users 独立，实际用电 Residential and agricultural medium- and long-term contract electricity volume Q 居民农业，合约 Matching optimal power generation Q 居民农业，优发 Actual electricity consumption Q 居民农业，实际用电 Long-term contract electricity volume Q 线损，合约 Matching optimal power generation Q 线损，优发 Actual electricity consumption Q 线损，实际用电 Agent for medium and long-term electricity contracts for industrial and commercial use Q 代理工商业，合约 Matching optimal power generation Q 代理工商业，优发 Actual electricity consumption Q 代理工商业，实际用电 Matching the remaining optimal power generation Q 剩余优发 ;

[0057] Electricity price data includes the day-ahead unified settlement point price P. 日前，统一 Real-time unified settlement point price P 实时，统一 And monthly average spot price P 月度现货 .

[0058] Step 2: Calculate the day-ahead deviation and actual deviation of the power generation on the power generation side based on the power generation data.

[0059] Q 发电侧，日前偏差 =Q 发电侧，日前出清 -Q 发电侧，合约 ;

[0060] Q 发电侧，实际偏差 =Q 发电侧，实际用电 -Q 发电侧，日前出清 ;

[0061] Among them, Q 发电侧，日前偏差 Q represents the day-ahead deviation of the power generation side; 发电侧，实际偏差 This represents the actual deviation in electricity generation on the power generation side.

[0062] Step 3: Calculate the weighted average price of the settlement balance point based on the electricity price data, the day-ahead deviation of the generation side, and the actual deviation of the generation side;

[0063] P 结算平衡点 =(Q 发电侧，日前偏差 ×P 日前，统一 + Q 发电侧，实际偏差 ×P 实时，统一 ) / (Q 发电侧，日前偏差 + Q 发电侧，实际偏差 );

[0064] Among them, P 结算平衡点 The weighted price for the settlement equilibrium point.

[0065] Step 4: Calculate the daily deviation and actual deviation of electricity for various types of users based on the user-side electricity data, including daily clearing users, monthly clearing electricity sales companies, independent users, residential and agricultural users, line loss users, and agent industrial and commercial users;

[0066] Q 日清，日前偏差 =Q 日清，日前出清 -Q 日清，合约 ;

[0067] Q 日清，实际偏差 =Q 日清，实际用电 -Q 日清，日前出清 ;

[0068] Q 月清，实际偏差 =Q 月清，实际用电 -Q 月清，合约 ;

[0069] Q 独立，实际偏差 =Q 独立，实际用电 ;

[0070] Q 居民农业，实际偏差 =Q 居民农业，实际用电 -Q 居民农业，合约 -Q 居民农业，优发 ;

[0071] Q线损，实际偏差 =Q 线损，实际用电 -Q 线损，合约 -Q 线损，优发 ;

[0072] Q 代理工商业，实际偏差 =Q 代理工商业，实际用电 -Q 代理工商业，合约 -Q 代理工商业，优发 -Q 剩余优发 ;

[0073] Among them, Q 日清，日前偏差 For Nissin users, the day-ahead deviation in electricity consumption; Q 日清，实际偏差 This represents the actual deviation in electricity consumption for Nissin users; Q 月清，实际偏差 The actual deviation in electricity consumption for the monthly electricity sales company; Q 独立，实际偏差 The actual deviation in power consumption for individual users; Q 居民农业，实际偏差 The actual deviation in electricity consumption for residential and agricultural use; Q 线损，实际偏差 Q represents the actual deviation in line loss; 代理工商业，实际偏差 This refers to the actual deviation in electricity consumption for industrial and commercial enterprises.

[0074] Step 5: Based on the electricity price data, settlement balance point weighted price, daily deviation electricity and actual deviation electricity of various types of users, calculate and analyze the market structure costs caused by various types of users in a refined manner, including daily clearing users, monthly clearing electricity sales companies, independent users, residential and agricultural users, line loss and agency industrial and commercial users;

[0075] R 日清 = Q 日清，日前偏差 ×(P 日前，统一 -P 结算平衡点 ) + Q 日清，实际偏差 ×(P 实时，统一 -P 结算平衡点 );

[0076] R 月清 = Q 月清，实际偏差 ×(P 月度现货 -P 结算平衡点 );

[0077] R 独立 = Q 独立，实际偏差 ×(P 月度现货 -P 结算平衡点 );

[0078] R 居民农业 = Q 居民农业，实际偏差 ×(P 月度现货 -P 结算平衡点 );

[0079] R 线损 = Q 线损，实际偏差 ×(P 月度现货 -P 结算平衡点 );

[0080] R 代理工商业 = Q 代理工商业，实际偏差 ×(P 月度现货 -P 结算平衡点 );

[0081] Among them, R 日清 Market structure costs incurred for Nissin users; R 月清 Market structure costs incurred by monthly electricity sales companies; R 独立 Market structure costs incurred for individual users; R 居民农业 Market structure costs resulting from residential agriculture; R 线损 Market structure costs resulting from line loss; R 代理工商业 Market structure costs incurred by agents of industry and commerce.

[0082] Step 6: Calculate the total market structure cost based on the market structure costs caused by the various types of users;

[0083] R 总 = R 日清 + R 月清 + R 独立 + R 居民农业 + R 线损 + R 代理工商业 ;

[0084] Among them, R 总 Total market structure costs.

[0085] This embodiment also provides a system for analyzing the structure and cost of the electricity spot market based on multidimensional dynamic factors to implement the above method, including:

[0086] Multidimensional dynamic factor acquisition module: Acquires multidimensional dynamic factor data, including power generation data, user power generation data, and electricity price data;

[0087] The generator-side deviation power calculation module calculates the day-ahead deviation power and the actual deviation power based on the generator-side power data.

[0088] Settlement break-even point price calculation module: Calculates the settlement break-even point weighted price based on the electricity price data, the day-ahead deviation of the generation side, and the actual deviation of the generation side;

[0089] User-side deviation power calculation module: Calculates the daily deviation power and actual deviation power for various types of users based on the user-side power data, including daily clearing users, monthly clearing power sales companies, independent users, residential and agricultural users, line loss users, and agency industrial and commercial users;

[0090] Market structure cost analysis module: Calculates and analyzes market structure costs caused by various users based on the electricity price data, settlement balance point weighted price, day-ahead deviation electricity and actual deviation electricity of various users;

[0091] Total Market Structure Cost Calculation Module: Calculates the total market structure cost based on the market structure costs incurred by the various types of users.

[0092] The system is based on the same inventive concept as the above method, and will not be described in detail here.

[0093] This embodiment also provides a computer device, including one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the programs, when executed by the processors, implement the steps of the described method for analyzing the structure and cost of the electricity spot market based on multidimensional dynamic factors.

[0094] This embodiment also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the method for analyzing the structure and cost of the electricity spot market based on multidimensional dynamic factors.

Claims

1. A method for analyzing the cost structure of the electricity spot market based on multidimensional dynamic factors, characterized in that, include Acquire multidimensional dynamic factor data, including power generation data, user power generation data, and electricity price data; Calculate the day-ahead deviation and actual deviation of the power generation side based on the power generation side power data; The settlement balance point weighted price is calculated based on the electricity price data, the day-ahead deviation of the generation side, and the actual deviation of the generation side. The daily deviation and actual deviation of electricity for various types of users are calculated based on the user-side electricity data, including daily clearing users, monthly clearing electricity sales companies, independent users, residential and agricultural users, line loss users, and agency industrial and commercial users. Based on the electricity price data, the weighted average price at the settlement balance point, the day-ahead deviation electricity volume and the actual deviation electricity volume of various types of users, the market structure costs caused by various types of users are calculated and analyzed. Calculate the total market structure cost based on the market structure costs incurred by the aforementioned user types.

2. The method for analyzing the structure and cost of the electricity spot market based on multidimensional dynamic factors according to claim 1, characterized in that, The power generation data includes medium- and long-term contracted power volume Q. 发电侧，合约 The electricity volume Q was cleared up recently. 发电侧，日前出清 Actual online power consumption Q 发电侧，实际上网 ; Electricity consumption data includes the electricity volume under long-term contracts with Nissin customers (Q). 日清，合约 The electricity volume Q was cleared up recently. 日清，日前出清 Actual electricity consumption Q 日清，实际用电 ; Yueqing Electricity Sales Company's medium- and long-term electricity volume Q 月清，合约 Actual electricity consumption Q 月清，实际用电 ; Actual electricity consumption of independent users Q 独立，实际用电 ; Residential and agricultural medium- and long-term contract electricity volume Q 居民农业，合约 Matching optimal power generation Q 居民农业，优发 Actual electricity consumption Q 居民农业，实际用电 Line loss in medium- and long-term contract electricity volume Q 线损，合约 Matching optimal power generation Q 线损，优发 Actual electricity consumption Q 线损，实际用电 Agent for medium- and long-term electricity contracts in industrial and commercial sectors Q 代理工商业，合约 Matching optimal power generation Q 代理工商业，优发 Actual electricity consumption Q 代理工商业，实际用电 Matching the remaining optimal power generation Q 剩余优发 ; Electricity price data includes the day-ahead unified settlement point price P. 日前，统一 Real-time unified settlement point price P 实时，统一 And monthly average spot price P 月度现货 .

3. The method for analyzing the structure and cost of the electricity spot market based on multidimensional dynamic factors according to claim 2, characterized in that, The day-ahead deviation and actual deviation of the power generation side are calculated based on the power generation side power data, using the following formula: Q 发电侧，日前偏差 =Q 发电侧，日前出清 -Q 发电侧，合约 ; Q 发电侧，实际偏差 =Q 发电侧，实际用电 -Q 发电侧，日前出清 ; Among them, Q 发电侧，日前偏差 Q represents the day-ahead deviation of the power generation side; 发电侧，实际偏差 This represents the actual deviation in electricity generation on the power generation side.

4. The method for analyzing the structure and cost of the electricity spot market based on multidimensional dynamic factors according to claim 3, characterized in that, The settlement break-even point weighted price is calculated based on the aforementioned electricity price data, the day-ahead deviation of power generation, and the actual deviation of power generation, using the following formula: P 结算平衡点 =(Q 发电侧，日前偏差 ×P 日前，统一 + Q 发电侧，实际偏差 ×P 实时，统一 ) / (Q 发电侧，日前偏差 + Q 发电侧，实际偏差 ); Among them, P 结算平衡点 The weighted price for the settlement equilibrium point.

5. The method for analyzing the structure and cost of the electricity spot market based on multidimensional dynamic factors according to claim 4, characterized in that, Based on the user-side electricity data, calculate the day-ahead deviation and actual deviation for various user groups, including daily-clearing users, monthly-clearing electricity sales companies, independent users, residential and agricultural users, line loss users, and agency industrial and commercial users. The formula is as follows: Q 日清，日前偏差 =Q 日清，日前出清 -Q 日清，合约 ; Q 日清，实际偏差 =Q 日清，实际用电 -Q 日清，日前出清 ; Q 月清，实际偏差 =Q 月清，实际用电 -Q 月清，合约 ; Q 独立，实际偏差 =Q 独立，实际用电 ; Q 居民农业，实际偏差 =Q 居民农业，实际用电 -Q 居民农业，合约 -Q 居民农业，优发 ; Q 线损，实际偏差 =Q 线损，实际用电 -Q 线损，合约 -Q 线损，优发 ; Q 代理工商业，实际偏差 =Q 代理工商业，实际用电 -Q 代理工商业，合约 -Q 代理工商业，优发 -Q 剩余优发 ; Among them, Q 日清，日前偏差 For Nissin users, the day-ahead deviation in electricity consumption; Q 日清，实际偏差 This represents the actual deviation in electricity consumption for Nissin users; Q 月清，实际偏差 The actual deviation in electricity consumption for the monthly electricity sales company; Q 独立，实际偏差 The actual deviation in power consumption for individual users; Q 居民农业，实际偏差 The actual deviation in electricity consumption for residential and agricultural use; Q 线损，实际偏差 Q represents the actual deviation in line loss; 代理工商业，实际偏差 This refers to the actual deviation in electricity consumption for industrial and commercial enterprises.

6. The method for analyzing the structure and cost of the electricity spot market based on multidimensional dynamic factors according to claim 5, characterized in that, Based on the aforementioned electricity price data, the weighted average price at the settlement break-even point, and the day-ahead and actual deviation electricity volumes of various user types, a refined calculation and analysis of the market structure costs caused by various user types is performed, as shown in the following formula: R 日清 = Q 日清，日前偏差 ×(P 日前，统一 -P 结算平衡点 )+ Q 日清，实际偏差 ×(P 实时，统一 -P 结算平衡点 ); R 月清 = Q 月清，实际偏差 ×(P 月度现货 -P 结算平衡点 ); R 独立 = Q 独立，实际偏差 ×(P 月度现货 -P 结算平衡点 ); R 居民农业 = Q 居民农业，实际偏差 ×(P 月度现货 -P 结算平衡点 ); R 线损 = Q 线损，实际偏差 ×(P 月度现货 -P 结算平衡点 ); R 代理工商业 = Q 代理工商业，实际偏差 ×(P 月度现货 -P 结算平衡点 ); Among them, R 日清 Market structure costs incurred for Nissin users; R 月清 Market structure costs incurred by monthly electricity sales companies; R 独立 Market structure costs incurred for individual users; R 居民农业 Market structure costs resulting from residential agriculture; R 线损 Market structure costs resulting from line loss; R 代理工商业 Market structure costs incurred by agents of industry and commerce.

7. The method for analyzing the structure and cost of the electricity spot market based on multidimensional dynamic factors according to claim 6, characterized in that, Calculate the total market structure cost based on the market structure costs caused by the aforementioned user types; R 总 = R 日清 + R 月清 + R 独立 + R 居民农业 + R 线损 + R 代理工商业 ; Among them, R 总 Total market structure costs.

8. A system for analyzing the structure and cost of the electricity spot market based on multidimensional dynamic factors, characterized in that, include: Multidimensional dynamic factor acquisition module: Acquires multidimensional dynamic factor data, including power generation data, user power generation data, and electricity price data; The generator-side deviation power calculation module calculates the day-ahead deviation power and the actual deviation power based on the generator-side power data. Settlement break-even point price calculation module: Calculates the settlement break-even point weighted price based on the electricity price data, the day-ahead deviation of the generation side, and the actual deviation of the generation side; User-side deviation power calculation module: Calculates the daily deviation power and actual deviation power for various types of users based on the user-side power data, including daily clearing users, monthly clearing power sales companies, independent users, residential and agricultural users, line loss users, and agency industrial and commercial users; Market structure cost analysis module: Calculates and analyzes market structure costs caused by various users based on the electricity price data, settlement balance point weighted price, day-ahead deviation electricity and actual deviation electricity of various users; Total Market Structure Cost Calculation Module: Calculates the total market structure cost based on the market structure costs incurred by the various types of users.

9. A computer device, characterized in that, It includes one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the programs, when executed by the processors, implement the steps of a method for analyzing the structure and cost of the electricity spot market based on multidimensional dynamic factors as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the electricity spot market structure cost analysis method based on multidimensional dynamic factors as described in any one of claims 1-7.

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