Establishment method of function evaluation index system for evaluating regional electricity market

Abstract

The invention provides a method for establishing a function evaluation index system for evaluating a regional power market, and the method comprises the steps: determining a key income index of the regional power market based on a construction standard; based on the key income index of the regional power market, determining accounting data of each related province in the region and historical data of operation of each related province-level power market in the region; based on the accounting data of the related provinces in the region and the historical data of the operation of the related provincial power markets in the region, determining prediction data of the combined operation of the regional power markets; calculating the function evaluation index system based on the prediction data of the joint operation of the regional power market; wherein the function evaluation index is a three-dimensional comprehensive income index. The problem of insufficient scientificity of an advanced evaluation scheme for regional power market construction is solved.

Description

Technical Field

[0001] The present application relates to the technical field of power market, and in particular to a method for establishing a functional evaluation index system for evaluating a regional power market. Background Art

[0002] The construction of regional power markets involves relatively complex adjustments to market structures. In order to coordinate costs, benefits, environment, potential strategies of market players and other aspects, a scientific and reasonable evaluation system is needed to provide guidance. A set of scientific and reasonable functional evaluation indicator systems can achieve the evaluation and avoidance of relevant risks, and also provide data references for the formulation of relevant market rules. In the current evaluation research on the adjustment of power market structures abroad, the main focus is on conducting in-process or post-event evaluations based on existing historical data to provide references for the direction of subsequent reform and construction. However, domestic evaluation research on power markets rarely involves market structure adjustments, and has not yet included ex ante evaluations of regional power market construction. Therefore, how to build a scientific quantitative evaluation plan for regional power markets, whether to promote the construction of regional power markets, how to divide market integration areas, and how to design relevant mechanisms for market connection is self-evidently important. Summary of the invention

[0003] This application provides a method for establishing a functional evaluation index system for evaluating regional power markets, so as to solve the problem of insufficient scientificity of ex ante evaluation schemes for regional power market construction.

[0004] To achieve the above objectives, this application provides a method for establishing a functional evaluation index system for evaluating a regional power market, including:

[0005] Based on the construction criteria, determine the key revenue indicators of the regional electricity market;

[0006] Based on the key revenue indicators of the regional power market, determine the accounting data of the relevant provinces in the region and the historical data of the operation of the relevant provincial power markets in the region;

[0007] Determine forecast data for joint operation of regional power markets based on accounting data of relevant provinces in the region and historical data on operation of relevant provincial power markets in the region;

[0008] Based on the forecast data of the joint operation of the regional power market, the function evaluation index system is calculated; wherein the function evaluation index is a three-dimensional comprehensive benefit index.

[0009] Optionally, the construction standard includes basic principles for selecting electricity market construction goals and indicators; wherein the electricity market construction goal is: to improve the energy system under the construction of a new power system, while meeting the requirements of safety, reliability, economic feasibility, and green and low-carbon;

[0010] The principles for selecting the indicators include: scientificity, pertinence, and operability;

[0011] The key benefit indicators of the regional electricity market include indicators in the following three dimensions: safety indicators, economic indicators, and environmental benefit indicators.

[0012] Optionally, the key revenue indicators based on the regional power market, determining the accounting data of relevant provinces in the region and the historical data of the operation of the power markets of relevant provinces in the region, include:

[0013] Based on the safety index, the economic index, and the environmental benefit index, collect accounting data of relevant provinces in the region that have a corresponding relationship with the safety index, the economic index, and the environmental benefit index, and historical data of independent operation of relevant provincial power markets in the region;

[0014] Among them, the accounting data of relevant provinces in the region include: quotation information of market entities, prices of cross-regional interconnection lines, investment in unit capacity of power generation, investment in supporting power grids, depreciation period of power generation assets, carbon emission factors of thermal power generation, and carbon emission prices in the carbon market; the historical data of independent operation of power markets in relevant provinces in the region include: load curve data, quotation information of market entities, demand-side response electricity, transferable load, actual dispatching electricity of transferable load, transmission power of cross-regional transmission channels, actual power generation and power generation cost of thermal power units, load fluctuations from the day-ahead market to the real-time market, unit call-up cost of spare capacity, actual consumption of new energy, and output curve of new energy units.

[0015] Optionally, the forecast data for the joint operation of the regional power market includes:

[0016] Safety indicators: load curve smoothing rate of joint operation of regional power markets; demand side response rate of joint operation of regional power markets; utilization rate of inter-provincial transmission channels of joint operation of regional power markets; economic indicators: power source substitution benefits of joint operation of regional power markets; capacity integration benefits of joint operation of regional power markets; ancillary service resource substitution benefits of joint operation of regional power markets; environmental indicators: new energy reduction benefits of joint operation of regional power markets; carbon reduction benefits of joint operation of regional power markets;

[0017] The prediction data of the joint operation of the regional power market is determined based on the accounting data of the relevant provinces in the region and the historical data of the operation of the relevant provincial power markets in the region, specifically:

[0018] Determining a load curve smoothing rate for joint operation of the regional power market based on the load curve data;

[0019] Determining a demand-side response rate for the joint operation of the regional power market based on the transferable load amount and the actual dispatched power of the transferable load;

[0020] Determining the utilization rate of the inter-provincial transmission channel for joint operation of the regional power market based on the transmission power of the inter-provincial transmission channel;

[0021] Based on the power generation costs and winning power generation of the generator sets in the relevant provinces in the region, determine the power source substitution benefits of the joint operation of the regional power market; wherein the winning power generation is obtained by using a simulation clearing algorithm;

[0022] Determine the capacity integration benefit of the joint operation of the regional power market based on the load curve data and the historical data of load fluctuations generated by the day-ahead and real-time markets;

[0023] Determining the ancillary service resource revenue of the regional power market joint operation based on the reserve capacity unit call cost data;

[0024] Determine the new energy reduction and abandonment benefits of the joint operation of the regional power market based on the actual consumption of the new energy and the output curve of the new energy unit;

[0025] Based on the actual power generation of the thermal power units, the thermal power carbon emission factor and the carbon emission price on the carbon market, the carbon reduction benefits of the joint operation of the regional power market are determined.

[0026] Optionally, based on the load curve data, determining a load curve smoothing rate of the regional power market joint operation, the specific process includes:

[0027] Determine the standard deviation of the load curves of the relevant provinces in the region, and the calculation formula is as follows:

[0028]

[0029]

[0030] Where: L i,t is the load of province i at time t, is the average load value in the time period T considered in province i, σ i is the standard deviation of the load curve of province i in the region.

[0031] Determine the standard deviation of the load curve for joint operation of the regional power market, and the calculation formula is as follows:

[0032]

[0033]

[0034] Where: n is the province covered by the regional electricity market, 区域 is the average load of the entire area in time period T, σ 区域 is the standard deviation of the load curve after regional integration.

[0035] Determine the load curve smoothing rate F1 of the joint operation of the regional power market:

[0036]

[0037] Where F1 is the load curve smoothing rate of the regional power market joint operation, minσ i is the minimum value of the standard deviation of the load curve of province i in the region, n is the number of provinces included in the joint operation of the regional power market, σ 区域 is the standard deviation of the load curve after regional integration.

[0038] Optionally, based on the transferable load amount and the actual dispatched power of the transferable load, the demand side response rate of the joint operation of the regional power market is determined; the specific process is:

[0039] Determine the transfer load quantity of the regional power market joint operation, the calculation process is:

[0040]

[0041] Where: p 转移,i is the transferable load of province i, obtained through historical data collection; assuming that the transferable load only considers the transfer from the price peak segment to the price valley segment, U 区域 is the transfer load quantity of the region, λ1 is the peak electricity price, λ2 is the valley electricity price, obtained by the simulation clearing algorithm; the transfer cost c 转移 , generally taken as 0.13; N is a coefficient, which varies with different users, different periods, and different electricity price ranges. For ease of analysis, it is assumed that N = 0.0075, c 转移 , N can be set according to the actual situation of each province;

[0042] Determine the demand side response rate of the joint operation of the regional power market. The calculation process is:

[0043]

[0044] Where: F2 is the demand side response rate of the regional power market joint operation, U 总 It is the total amount of actual dispatched electricity of transferable load when the power markets of provinces in the region operate independently.

[0045] Optionally, the determining of the utilization rate of the inter-provincial transmission channel for the joint operation of the regional power market based on the transmission power of the inter-provincial transmission channel is specifically:

[0046] Determine the utilization rate of the inter-provincial transmission channel for the joint operation of the regional power market, and the calculation formula is:

[0047]

[0048]

[0049] Where: F3 is the utilization rate of inter-provincial transmission channels in the joint operation of regional power markets, P t,总 P is the average transmission power of the transmission channels across provinces when the relevant provincial power markets in the region operate independently, which is obtained from historical data collection; t,区域 is the average transmission power of the inter-regional transmission channel when the regional power market operates jointly, q s,t is the transmission power of the inter-provincial tie line s in time period t, obtained through the simulation clearing algorithm.

[0050] Optionally, based on the power generation costs and winning bid power generation of the power generation units in the relevant provinces in the region, the power source substitution income of the joint operation of the regional power market is determined; the specific process is:

[0051] Determine the power generation cost of each province in the region when it operates independently i , the calculation formula is as follows:

[0052] cost i =C L,i Q L,i +C H,i Q H,i

[0053] In the formula, cost i In order to save the power generation cost when i is running alone, Q L,i and Q H,i are the power generation of low-cost units and high-cost units actually used in province i, respectively. The coverage of low-cost and high-cost units is divided by regional agencies according to specific circumstances. Here, the market historical data of each province are used to obtain the results;

[0054] Determine the generation cost when the regional electricity market operates jointly 区域 for:

[0055]

[0056] In the formula, Q' L,i and Q' H,i They are the power generation of low-cost units and high-cost units actually called in province i after the joint operation of the regional power market. Here, the winning bid power obtained by the divided units in the simulation clearing algorithm is called;

[0057] Determine the power supply replacement gain V 电源替代 , the calculation formula is as follows, where

[0058]

[0059] Optionally, based on the load curve data and the load fluctuation history data generated by the day-ahead and real-time markets, the capacity integration benefit of the joint operation of the regional power market is determined; the specific process is:

[0060] Determine the predicted maximum load in the area within 24 hours, the calculation formula is as follows:

[0061] L i,max =max t＝1,2,...,24 L i,t

[0062]

[0063] Where: L i,max is the maximum load of the power market of province i in the region operating independently, L i,t L is the average load of the t period in the 24-hour period contained in the load curve data; 区域,max It is the maximum load after the joint operation of the regional power market;

[0064] Without considering the safety margin, the calculation formula for installed power generation capacity is as follows:

[0065]

[0066] G 区域 =L 区域,max

[0067] Where: G 总 G is the power generation capacity required by each province under the independent operation of the power market. 区域 The power generation capacity required for the region under the joint operation of the regional electricity market;

[0068] Determine the power generation integration benefit V 发电整合 , and its calculation formula is as follows:

[0069] V 发电整合 =(G 区域 -G 总 )×(λ a +λ b ) / D

[0070] Where: a is the power generation investment per unit capacity; b is the supporting power grid investment; D is the depreciation period;

[0071] Determine the reserve capacity integration benefits, the calculation process is as follows:

[0072] Δl i,max =max t＝1,2,...,24 Δl i,t

[0073]

[0074] In the formula, Δl i,t is the load fluctuation generated by real-time clearing in province i at time t, Δl i,max is the maximum load fluctuation that occurs within 24 hours when the power market of provincial region i operates independently. Both are obtained by collecting historical data; Δl 区域,max It is the maximum load fluctuation that occurs within 24 hours when the regional power market operates jointly;

[0075]

[0076] G′ 区域 =Δl 区域,max

[0077] Where: G′ 总 G′ is the reserve capacity required for the region under the independent operation of each provincial power market. 区域 The reserve capacity required by the region under the joint operation of the regional electricity market;

[0078] Reserve capacity integration benefit V 备用整合 The calculation formula for the benefits of saving related investments after integration is as follows:

[0079] V 备用整合 =(G′ 区域 -G′ 总 )×(λ a +λ b ) / D

[0080] Where: a is the power generation investment per unit capacity; b is the supporting power grid investment; D is the depreciation period;

[0081] Determine the capacity integration benefit V 容量整合 , the calculation formula is as follows:

[0082] V 容量整合 =V 发电整合 +V 备用整合 .

[0083] Optionally, based on the reserve capacity unit call cost data, the ancillary service resource revenue of the regional power market joint operation is determined, and the specific process is:

[0084] Assume that the unit cost of calling the reserve capacity in province i under actual load fluctuation is The ancillary service costs incurred for:

[0085]

[0086] In the formula, Δl i,t is the load fluctuation generated by real-time clearing in province i at time t;

[0087] Determine the ancillary service costs incurred when operating a regional electricity market jointly The calculation process is:

[0088]

[0089]

[0090] The ancillary service resource benefits of the joint operation of the regional power market are determined by the following calculation formula:

[0091]

[0092] Optionally, the new energy reduction and abandonment income of the joint operation of the regional power market is determined based on the actual consumption of the new energy and the output curve of the new energy unit; the specific process is:

[0093] The calculation formula for determining the new energy reduction and abandonment benefits of the joint operation of the regional power market is as follows:

[0094]

[0095]

[0096] In the formula, and They are the abandoned wind power and abandoned photovoltaic power when province i operates independently; and are the actual power generation of wind turbines and photovoltaics in province i at time t, which are included in the output curve of new energy units in the market historical data; and They are the actual consumption of wind power and photovoltaic power at time t when province i is operating independently, which are included in the actual consumption of new energy in the market historical data;

[0097]

[0098]

[0099]

[0100]

[0101] The total amount of wind and solar power abandoned in the joint operation of the regional power market is:

[0102]

[0103]

[0104] The calculation formula for determining the new energy reduction and abandonment income is as follows:

[0105]

[0106] Where: is the average generation-clearing price in the day-ahead market period t, obtained by the simulation-clearing algorithm.

[0107] Optionally, the actual amount of electricity generated by the thermal power unit, the thermal power carbon emission factor and the carbon market

[0108] The carbon emission price on the power market is used to determine the carbon reduction benefits of the joint operation of the regional power market. The specific process is as follows:

[0109] Determine the reduction in thermal power generation P 火电 , the calculation formula is as follows:

[0110]

[0111] In the formula, The actual amount of electricity generated by thermal power units in province i when operating independently is obtained by calling historical data;

[0112] The actual amount of electricity generated by thermal power units after the joint operation of the regional power market. This data is included in the optimization output.

[0113] In the result data of the clearing algorithm;

[0114] Determine the carbon reduction benefits V of joint operation of regional electricity markets 减碳 , the calculation formula is as follows:

[0115] V 减碳 =P 火电 ×F emission ×λ carbon

[0116] Where V 减碳 is the carbon reduction benefit of the joint operation of regional electricity market, F emission is the carbon emission factor of thermal power, λ carbon is the price of carbon emissions in the carbon market.

[0117] Optionally, the function evaluation index system is determined based on the forecast data of the joint operation of the regional power market, specifically:

[0118] Using an entropy weight method, determining an entropy weight vector corresponding to each data in the predicted data;

[0119] The function evaluation index system is determined based on the entropy weight vector and the forecast data of the joint operation of the regional power market.

[0120] This application has the following beneficial effects:

[0121] This application determines the key revenue indicators of the regional power market under the construction goal of building a regional power market, and then, based on the key revenue indicators of the regional power market, collects the accounting data of the relevant provinces in the region and the historical data of the operation of the relevant provincial power markets in the region that are related to the key revenue indicators, and calculates them in a scientific way, so as to obtain the forecast data of the joint operation of the regional power market, and then calculates a set of functional evaluation index system based on the forecast data of the joint operation of the regional power market, so that a scientific ex ante evaluation can be carried out on the regional power market before its construction, which can effectively avoid potential risks, provide accurate data reference for the formulation of market rules, and avoid ineffective waste of resources.

[0122] In addition to the above-described purposes, features and advantages, the present application also has other purposes, features and advantages. The present application will be further described in detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0123] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0124] Figure 1 It is a flowchart of establishing a function evaluation index system according to an embodiment of the present application. DETAILED DESCRIPTION

[0125] The embodiments of the present application are described in detail below with reference to the accompanying drawings; however, the present application can be implemented in many different ways as defined and covered by the claims.

[0126] It should be noted that the "regional power market" mentioned in this application refers to all power trading venues, power system operation areas and the power market as a whole in which relevant market players participate within a certain range. The region may include the whole country or a certain region, such as East China. The specific situation will be determined based on the actual application. The "provincial power market" mentioned in this application is a power trading and resource allocation market system constructed on a provincial basis. In this system, operations are mainly carried out around the power generation, transmission, sales and consumption within the administrative area of ​​the province.

[0127] Since the simulation clearing algorithm is used many times in the calculation process of this application, the simulation clearing algorithm is briefly described here:

[0128] The simulation clearing algorithm includes a clearing model and a pricing model:

[0129] The clearing model provides historical data on the quotation information of market players in each province and various physical constraint information, and inputs the objective function and constraints into the optimization algorithm to obtain the simulated transaction results of the regional power market, that is, the winning bid power of market players and the transmission power of inter-provincial interconnection lines.

[0130] The objective function of the clearing model is to maximize the sum of social welfare of all provinces in the region. Social welfare can be equivalently calculated in the electricity market as the difference between the power generator and the user's quotation curve minus the transmission and distribution costs. The calculation formula is as follows:

[0131]

[0132]

[0133]

[0134]

[0135]

[0136] Where: p j,t is the winning bid electricity of market entity j in period t, q s,t is the transmission power of the inter-provincial tie line s in time period t, and both are the target values ​​of the optimization algorithm of the clearing model; j,t (·) is the composite function of the quotation function of market entity j, which is used to calculate the difference between the quotation curves of generators and users; g s is the transmission price of inter-provincial interconnection line s, which is the government accounting data; u k,t and v k,t Auxiliary variables are introduced to eliminate the nonlinearity caused by the absolute value in the objective function. In the constraint conditions, A j is the coefficient matrix of the constraints of market entity j itself, pj is the winning bid quantity of market entity j at any time, b j B is the limitation of the market players themselves; j and C s are the coefficients of power transmission of market entities and inter-provincial tie lines in power grid operation constraints, c t D is the limit of system operation constraints; s is the coefficient of the inter-provincial tie line constraint, q s is the transmission power of the inter-provincial tie line s at any time, d s is the limit value of the inter-provincial connection line constraint; m k (·) is the power flow function of tie line k. To calculate this function, we need to input the winning bid power of all market players at a certain moment and the transmission power of the tie line. k is the transmission price of tie line k.

[0137] u k,t and v k,t The calculation formula is as follows:

[0138]

[0139]

[0140] In the formula, p t ,q t is the amount of electricity won by all market players at time t and the transmission power of the tie line. k (·) is the power flow function of tie line k. To calculate this function, it is necessary to know the information of all the winning bids and tie lines in the power grid.

[0141] Under this clearing model, the clearing model determines the winning bid quantity that satisfies the social welfare maximization. Once the winning bid quantity is fixed, the load-side electricity price that satisfies the minimum generation and transmission costs can be calculated. The pricing model is to minimize the sum of generation and transmission costs after the load winning bid quantity is fixed, thereby determining the output plan of each generator set and the transmission power of the provincial interconnection line. The objective function calculation formula is as follows:

[0142]

[0143] The power generation of the specific generator set at time t is obtained through the objective function Transmission power q with the provincial interconnection line k,t .

[0144] The power generation pricing model adopts node electricity price pricing:

[0145]

[0146] Where: tis the dual variable of the grid operation constraint, γ k,t is the dual variable of the auxiliary constraint.

[0147] The user-side electricity price pricing model is:

[0148]

[0149] In the formula, is the average electricity price of the nodes on the power generation side at time t.

[0150] The specific implementation process of this application is described in detail below:

[0151] my country's regional power market is in the exploratory stage. Although there are policies to promote cross-provincial and cross-regional transactions and multi-level market coordination, it faces cross-provincial barriers. Recent power market reform documents emphasize evaluation, and regional market construction requires a scientific evaluation system. Building a scientific and quantitative evaluation plan is crucial to promoting regional power market construction, dividing and integrating regions, and designing mechanisms.

[0152] In order to solve the above problems, Figure 1 As shown, this application proposes a method for establishing a functional evaluation index system for evaluating a regional power market, and the specific steps are as follows:

[0153] Step S101: Determine key revenue indicators of the regional power market based on the construction standard;

[0154] It should be noted that the regional power market mentioned in this application is an overall assessment of the overall regional power market construction effect before the regional power market is built.

[0155] The country vigorously promotes the construction of new power markets, aiming to optimize resource allocation, promote energy transformation, and enhance the stability and sustainable development capabilities of the power system. Therefore, in order to achieve the above goals, the construction standards of regional power markets generally include the basic principles for selecting power market construction goals and indicators;

[0156] The specific goals of the power market construction are: to improve the energy system under the construction of a new power system, while meeting the requirements of safety, reliability, economic feasibility, and green and low-carbon;

[0157] The basic principles for indicator selection are: scientificity, pertinence, and operability. Scientificity requires that the selection of indicators should fully reflect regional electricity market transactions, pertinence requires that the selection of indicators should focus on the specific functions achieved by the joint operation of the regional electricity market, and operability requires that the indicators should have corresponding data sources and the corresponding cost-effectiveness should be quantifiable.

[0158] Since the construction goal of the new electricity market is to meet the requirements of safety, reliability, economic feasibility and green carpet, the key benefit indicators of the regional electricity market selected in this application include indicators in the following three dimensions: safety indicators, economic indicators, and environmental benefit indicators; among them, the safety indicators include: load curve smoothing rate, peak load loss value reduction value, and cross-regional channel capacity utilization rate; the economic indicators include: power source substitution benefits, capacity resource integration benefits, and ancillary service resource substitution benefits; the environmental benefit indicators include: new energy consumption benefits and carbon emission reduction benefits.

[0159] Step S102: Based on the key revenue indicators of the regional power market, determine the accounting data of the relevant provinces in the region and the historical data of the operation of the relevant provincial power markets in the region;

[0160] After determining the key revenue indicators of the regional power market, we can collect data related to the three dimensions of the key revenue indicators. That is, from the safety indicators, economic indicators, and environmental revenue indicators, we collect the accounting data of the relevant provinces in the region that have a corresponding relationship with the safety indicators, the economic indicators, and the environmental revenue indicators, and the historical data of the independent operation of the power markets of the relevant provinces in the region.

[0161] Data collection needs to be carried out from provinces where the spot market in the region is in trial operation or formal operation, mainly including accounting data of relevant provinces in the region: inter-provincial interconnection line prices, unit capacity power generation investment, supporting power grid investment, depreciation period of power generation assets, thermal power carbon emission factors, and carbon emission prices in the carbon market; historical data on the operation of provincial power spot markets: load curve data, market entity quotation information, demand-side response electricity, transferable load, actual dispatched electricity of transferable load, transmission power of inter-provincial transmission channels, actual power generation and power generation cost of thermal power units, load fluctuations from the day-ahead market to the real-time market, unit call-up cost of spare capacity, output curve of new energy units, and actual consumption of new energy.

[0162] Step S103: Determine forecast data for joint operation of the regional power market based on the accounting data of the relevant provinces in the region and the historical data of the operation of the relevant provincial power markets in the region;

[0163] According to the three dimensions of step S102, the prediction data of the joint operation of the regional power market here can be determined, which also includes three dimensions, namely, safety indicators include: load curve smoothing rate of the joint operation of the regional power market; demand side response rate of the joint operation of the regional power market; utilization rate of inter-provincial transmission channels of the joint operation of the regional power market; economic indicators include: power source substitution income, capacity resource integration income, ancillary service resource substitution income, environmental benefits include: new energy consumption, carbon emission reduction; power source substitution income of the joint operation of the regional power market; capacity integration income of the joint operation of the regional power market; ancillary service resource substitution income of the joint operation of the regional power market; environmental indicators: new energy reduction income of the joint operation of the regional power market; carbon reduction income of the joint operation of the regional power market. Here, the prediction data of the joint operation of the regional power market and the solution process are explained in detail one by one: (1) load curve smoothing rate of the joint operation of the regional power market;

[0164] In the present application, the smoothing rate of the compliance curve for the joint operation of the regional power market is determined based on the load curve data; the load curve data is obtained from the historical data of the operation of the power spot market in each province.

[0165] The load curve smoothing rate is calculated based on the load curve data when the power markets of each province operate independently. The standard deviation can reflect the fluctuation of the load. The smaller the standard deviation, the smoother the load curve.

[0166] First, determine the standard deviation of the load curves of the relevant provinces in the region, and the calculation formula is as follows:

[0167]

[0168] Where: L i,t is the load of province i at time t, is the average load value in the time period T considered in province i, σ i is the standard deviation of the load curve of province i in the region.

[0169] Determine the standard deviation of the load curve for joint operation of the regional power market, and the calculation formula is as follows:

[0170]

[0171] Where: n is the province covered by the regional electricity market, 区域 is the average load of the entire area in time period T, σ 区域 is the standard deviation of the load curve after regional integration.

[0172] Due to the different characteristics of load curves in different provinces, when regional power markets are jointly operated, the load curve can be smoother through regional power market integration, thereby improving the safety and stability of the power grid. The smoothing effect achieved is expressed by the load curve smoothness (also known as the load curve smoothing rate), and the load curve smoothing rate F1 of the joint operation of the regional power market is determined:

[0173]

[0174] Where F1 is the load curve smoothing rate of the regional power market joint operation, minσ i is the minimum value of the standard deviation of the load curve of province i in the region, n is the number of provinces included in the joint operation of the regional power market, σ 区域 is the standard deviation of the load curve after regional integration.

[0175] (2) Demand-side response rate of regional power market joint operation

[0176] The demand-side response rate refers to the active response of user-side transferable loads, interruptible loads, etc. to peak load reduction under the guidance of power market prices. The regional power market can increase the utilization rate of such demand-side response resources by integrating such resources, thereby improving the flexibility of the power grid. Here, the simplified demand-side response is only provided by user-side transferable loads.

[0177] In this application, it is the amount of transferable load and the actual dispatched power of the transferable load that determines the demand-side response rate of the joint operation of the regional power market.

[0178] Determine the transfer load quantity of the regional power market joint operation, the calculation process is:

[0179]

[0180] Where: p 转移,i is the transferable load of province i, obtained through historical data collection; assuming that the transferable load only considers the transfer from the price peak segment to the price valley segment, U 区域 is the transfer load quantity of the region, λ1 is the peak electricity price, λ2 is the valley electricity price, obtained by the simulation clearing algorithm; the transfer cost c 转移 , generally taken as 0.13; N is a coefficient, which varies with different users, different periods, and different electricity price ranges. For ease of analysis, it is assumed that N = 0.0075, c 转移 , N can be set according to the actual situation of each province;

[0181] It should be noted that after inputting the relevant data, the power generation pricing model in the simulation clearing algorithm can be confirmed to obtain the electricity price in the required time period, and the peak electricity price is taken as λ1 and the valley electricity price is taken as λ2, and substituted into the above formula (6) for calculation.

[0182] Determine the demand side response rate of the joint operation of the regional power market. The calculation process is:

[0183]

[0184] Where: F2 is the demand side response rate of the regional power market joint operation, U 总 It is the total amount of actual dispatched electricity of transferable load when the power markets of provinces in the region operate independently.

[0185] (3) Utilization rate of inter-provincial transmission channels in the joint operation of regional power markets

[0186] The increased utilization of inter-provincial transmission channels can enhance the regulation capacity of the power system, especially when the proportion of new energy grid connection increases. The power grid can complement the surplus and shortage of electricity and serve as a backup for each other through inter-provincial transmission channels, thereby improving the security and protection capabilities of the power grid. Through the integration of regional power markets, the barriers between provinces can be eliminated, thereby improving the utilization rate of inter-provincial transmission channels.

[0187] This application mainly determines the utilization rate of inter-provincial transmission channels for joint operation of regional power markets based on the transmission power of inter-provincial transmission channels.

[0188] Determine the inter-provincial transmission channel utilization rate F3 for the joint operation of the regional power market, and the calculation formula is:

[0189]

[0190] Where: P t,总 P is the average transmission power of the inter-provincial transmission channel when the power markets of each province in the region operate independently, which is obtained from historical data collection; t,区域 is the average transmission power of the inter-provincial transmission channel when the regional power market operates jointly, q s,t is the transmission power of the inter-provincial tie line s in time period t, obtained through the simulation clearing algorithm.

[0191] (4) Power source substitution benefits from joint operation of regional power markets

[0192] The power substitution income refers to the income brought by the replacement of high-cost units by low-cost generators after the regional power market uniformly calls on the power generation resources of various provinces in the region. This application is based on the power generation costs and winning power generation of the generators in the relevant provinces in the region to determine the power substitution income of the joint operation of the regional power market. The specific calculation process is as follows:

[0193] Determine the power generation cost of each province in the region when it operates independently i , the calculation formula is as follows:

[0194] cost i =CL,i Q L,i +C H,i Q H,i (16)

[0195] In the formula, cost i In order to save the power generation cost when i is running alone, Q L,i and Q H,i are the power generation of low-cost units and high-cost units actually used in province i, respectively. The coverage of low-cost and high-cost units is divided by regional agencies according to specific circumstances. Here, the market historical data of each province are used to obtain the results;

[0196] When the regional electricity market operates in a unified manner, ignoring the congestion of inter-provincial interconnection lines, the clearing model will be called in sequence according to the cost of the generator sets in the four provinces from low to high.

[0197] Determine the generation cost when the regional electricity market operates jointly 区域 for:

[0198]

[0199] In the formula, Q' L,i and Q' H,i They are the low-cost generating units actually used by the province after the joint operation of the regional power market.

[0200] The power generation of the high-cost units is the winning bid power obtained by the simulation clearing algorithm in the divided units.

[0201] In general, cost 区域 satisfy:

[0202] In extreme cases, it does not affect the discussion. At this time, the power replacement benefit is 0.

[0203] Determine the power supply replacement gain V 电源替代 , and its calculation formula is as follows:

[0204]

[0205] (5) Capacity integration benefits of joint operation of regional power markets

[0206] The capacity integration benefit is calculated based on the load curve data and the historical data of load fluctuations from the day-ahead market to the real-time market, including the power generation capacity integration benefit and the reserve capacity integration benefit. To calculate the capacity integration benefit, the predicted load must be preprocessed to determine the predicted maximum load within 24 hours in the region. The calculation formula is as follows:

[0207] L i,max=max t＝1,2,...,24 L i,t (19)

[0208]

[0209] Where: L i,max is the maximum load of the power market of province i in the region operating independently, L i,t L is the average load of the t period in the 24-hour period contained in the load curve data; 区域,max It is the maximum load after the joint operation of the regional power market;

[0210] Without considering the safety margin, the calculation formula for installed power generation capacity is as follows:

[0211]

[0212] G 区域 =L 区域,max (twenty two)

[0213] Where: G 总 G is the power generation capacity required by each province under the independent operation of the power market. 区域 It is the power generation capacity required by the region under the joint operation of the regional power market; the power generation capacity refers to the installed power generation capacity required to ensure the power supply of the load.

[0214] Its investment and construction will be reduced after regional integration. The income from power generation capacity integration is the income brought by saving related investment after integration.

[0215] Determine the power generation integration benefit V 发电整合 , and its calculation formula is as follows:

[0216] V 发电整合 =(G 区域 -G 总 )×(λ a +λ b ) / D (23)

[0217] Where: a is the power generation investment per unit capacity; b is the supporting power grid investment; D is the depreciation period;

[0218] Determine the reserve capacity integration benefits. The reserve capacity integration benefits calculation requires the load fluctuation from the day-ahead market to the real-time market.

[0219] The historical data is preprocessed to obtain the maximum load fluctuation within 24 hours. The calculation process is as follows:

[0220] Δl i,max =max t＝1,2,...,24 Δl i,t (twenty four)

[0221]

[0222] In the formula, Δl i,t is the load fluctuation generated by real-time clearing in province i at time t, Δl i,max is the maximum load fluctuation that occurs within 24 hours when the power market of provincial region i operates independently. Both are obtained by collecting historical data; Δl 区域,max It is a regional electricity

[0223] The maximum load fluctuation that occurs within 24 hours during the joint operation of the power market;

[0224]

[0225] G′ 区域 =Δl 区域,max (27)

[0226] Where: G′ 总 G′ is the reserve capacity required for the region under the independent operation of each provincial power market. 区域 It is the reserve capacity required by the region under the joint operation of the regional power market; reserve capacity refers to the capacity invested and constructed to ensure the stable operation of the power system in the event of supply and demand imbalance or emergency, and its investment and construction will be reduced after regional integration. The reserve capacity integration income is the income brought by saving related investments after integration.

[0227] Reserve capacity integration benefit V 备用整合 The calculation formula for the benefits of saving related investments after integration is as follows:

[0228] V 备用整合 =(G′ 区域 -G′ 总 )×(λ a +λ b ) / D (28)

[0229] Where: a is the power generation investment per unit capacity; b is the supporting power grid investment; D is the depreciation period;

[0230] Determine the capacity integration benefit V 容量整合 , the calculation formula is as follows:

[0231] V 容量整合 =V 发电整合 +V 备用整合 (29).

[0232] (6) Ancillary service resource benefits from joint operation of regional power markets

[0233] The ancillary service resource substitution income is calculated based on the unit call cost data of spare capacity provided by each province. In provinces with a well-established ancillary service market, it can be calculated based on the quotation data of ancillary service market players. The calculation formula is as follows:

[0234] Assume that the unit cost of calling the reserve capacity in province i under actual load fluctuation is The ancillary service costs incurred for:

[0235]

[0236] In the formula, Δl i,t is the load fluctuation generated by real-time clearing in province i at time t;

[0237] In the case of joint operation of regional markets, spare capacity resources are integrated. When dispatching, the power grid will give priority to using units with the lowest unit call cost of spare capacity. Assuming that the cost is ranked from small to large as Province A, Province B, Province C, and Province D, the ancillary service costs generated during the joint operation of regional power markets are determined. The calculation process is:

[0238]

[0239] The ancillary service resource benefits of the joint operation of the regional power market are determined by the following calculation formula:

[0240]

[0241] (7) Revenue from new energy reduction and abandonment in the joint operation of regional power markets

[0242] The benefits of new energy curtailment are the benefits generated by reducing the curtailment rate of wind and solar power based on the market price mechanism. Currently, new energy power generation only participates in the power day-ahead market by reporting the quantity. Therefore, the benefits brought by curtailment can be calculated by the output curve of new energy units reported in the day-ahead market and the actual consumption of new energy. The calculation formula is as follows:

[0243]

[0244] In the formula, and They are the abandoned wind power and abandoned photovoltaic power when province i operates independently; and are the actual power generation of wind turbines and photovoltaics in province i at time t, which are included in the output curve of new energy units in the market historical data; and They are the actual consumption of wind power and photovoltaic power at time t when province i is operating independently, which are included in the actual consumption of new energy in the market historical data;

[0245]

[0246]

[0247]

[0248]

[0249] The total amount of wind and solar power abandoned in the joint operation of the regional power market is:

[0250]

[0251]

[0252] The calculation formula for determining the new energy reduction and abandonment income is as follows:

[0253]

[0254] Where: is the average generation-clearing price in the day-ahead market period t, obtained by the simulation-clearing algorithm.

[0255] (7) Carbon reduction benefits from joint operation of regional power markets

[0256] The carbon reduction benefits are calculated by the carbon market transaction price, the thermal power carbon emission factor, and the actual use of thermal power units (reduction in thermal power). The benefits brought by the reduction in carbon emissions are quantified through market prices.

[0257] Determine the reduction in thermal power generation P 火电 , the calculation formula is as follows:

[0258]

[0259] In the formula, The actual amount of electricity generated by thermal power units in province i when operating independently is obtained by calling historical data;

[0260] The actual amount of electricity generated by thermal power units after the joint operation of the regional power market. This data is included in the result data of the optimization clearing algorithm. Among them, It is obtained according to formula (4).

[0261] Determine the carbon reduction benefits V of joint operation of regional electricity markets 减碳 , the calculation formula is as follows:

[0262] V 减碳 =P 火电 ×F emission ×λ carbon (40)

[0263] Where V 减碳 is the carbon reduction benefit of the joint operation of regional electricity market, F emission is the carbon emission factor of thermal power, λ carbon is the price of carbon emissions in the carbon market.

[0264] Step S104: Determine the function evaluation index system based on the forecast data of the joint operation of the regional power market; wherein the function evaluation index is a three-dimensional comprehensive benefit index.

[0265] After obtaining the data of the joint operation of the above-mentioned regional power market, the entropy weight method is used to determine the entropy weight vector corresponding to each data in the forecast data, and then according to the entropy weight vector and the forecast data of the joint operation of the regional power market, the function evaluation index system is determined. The specific process is as follows:

[0266] The entropy weight method is used to determine the weight of each dimensional factor, and the entropy value is used to judge its degree of dispersion. The smaller the entropy value, the greater the degree of dispersion of the indicator, and the greater the influence of the indicator on the comprehensive evaluation (i.e., weight).

[0267] Assume that a total of K indicator data are collected, indicator e l The result of the k-th data 0-1 standardization is X k , then the index e l It should be noted that the k times here refers to the number of times the same indicator data is collected. The indicator data here refers to the accounting data of the relevant provinces in the region and the historical data of independent operation of the power markets of the relevant provinces in the region.

[0268]

[0269] Calculate the entropy value of each indicator based on the normalized data, and then multiply it by the normalization coefficient 1 / log K, then the indicator e l Information entropy

[0270]

[0271] Since the larger the information entropy value of an indicator, the smaller its information utility value, the information entropy needs to be reversed. If the sum of the information utility value and the information entropy value is set to 1, then the indicator e l The weight of

[0272]

[0273] The final calculated entropy weight vector

[0274] ω=(ω1,ω2,...,ω l ,...,ω L ) (44)

[0275] The final values ​​of the three-dimensional indicators are integrated according to the weights calculated for each indicator as follows:

[0276] Safety index = ω1F1+ω2F2+ω3F3

[0277] Economic performance index = ω4V 电源替代 +ω5V 容量整合 +ω6V 辅助服务

[0278] Environmental index = ω7V 减弃 +ω8V 减碳 (45)

[0279] That is to say, the three different dimensional indicators calculated according to formula (45) in this application further determine the functional evaluation indicator system after the joint operation of the regional power market. Based on this functional evaluation indicator system, a prior evaluation can be conducted before the construction of the regional power market, which can effectively avoid potential risks and provide accurate data reference for the formulation of market rules, thereby promoting the construction of the regional power market, dividing the market integration areas, and designing relevant mechanisms for market connection.

[0280] In summary, this application, under the background of the construction of a national unified electricity market, determines the functional value achieved after the provincial electricity markets are combined to form a regional electricity market, determines the evaluation object, and analyzes the improvement of various data brought about by the joint operation of the market based on the basic principles of indicator selection. It collects data from provincial markets in the region, including relevant government accounting data and historical data on the operation of spot markets in provinces in the region. It selects the main functional quantitative indicators of the operation of the electricity market in combination with the regional market clearing algorithm and the actual situation of the research area, the current policy orientation and the goals of electricity market construction, and constructs a functional realization evaluation index system for the joint operation of the regional electricity market. Focusing on the three dimensions of safe supply, economic efficiency, and green environmental protection, a scientific electricity market operation evaluation index system and calculation method have been formed, which can effectively solve the current problems of unclear positioning of regional electricity markets in my country, unclear functional benefits that can be brought about by construction, and inability to effectively judge the operation effect of regional electricity markets without quantitative indicator analysis.

[0281] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for establishing a functional evaluation index system for evaluating a regional power market, characterized in that: include: Determine the key revenue indicators of the regional electricity market based on the construction criteria; Based on the key revenue indicators of the regional power market, determine the accounting data of the relevant provinces in the region and the historical data of the operation of the relevant provincial power markets in the region; Determine forecast data for joint operation of regional power markets based on accounting data of relevant provinces in the region and historical data on operation of relevant provincial power markets in the region; Based on the forecast data of the joint operation of the regional power market, the function evaluation index system is calculated; wherein the function evaluation index is a three-dimensional comprehensive benefit index.

2. The method according to claim 1, characterized in that The construction standards include the basic principles for selecting the goals and indicators of the power market construction; the power market construction goal is to improve the energy system under the construction of a new power system, while meeting the requirements of safety, reliability, economic feasibility, and green and low-carbon; The principles for selecting the indicators include: scientificity, pertinence, and operability; The key benefit indicators of the regional electricity market include indicators in the following three dimensions: safety indicators, economic indicators, and environmental benefit indicators.

3. The method according to claim 2, characterized in that The key revenue indicators based on the regional power market determine the accounting data of the relevant provinces in the region and the historical data of the power market operation of the relevant provinces in the region, including: Based on the safety index, the economic index, and the environmental benefit index, collect accounting data of relevant provinces in the region that have a corresponding relationship with the safety index, the economic index, and the environmental benefit index, and historical data of independent operation of relevant provincial power markets in the region; Among them, the accounting data of relevant provinces in the region include: quotation information of market entities, prices of cross-regional interconnection lines, investment in unit capacity of power generation, investment in supporting power grids, depreciation period of power generation assets, carbon emission factors of thermal power generation, and carbon emission prices in the carbon market; the historical data of independent operation of power markets in relevant provinces in the region include: load curve data, quotation information of market entities, demand-side response electricity, transferable load, actual dispatching electricity of transferable load, transmission power of cross-regional transmission channels, actual power generation and power generation cost of thermal power units, load fluctuations from the day-ahead market to the real-time market, unit call-up cost of spare capacity, actual consumption of new energy, and output curve of new energy units.

4. The method according to claim 3, characterized in that: The forecast data for the joint operation of the regional electricity market include: Safety indicators: load curve smoothing rate of joint operation of regional power markets; demand side response rate of joint operation of regional power markets; utilization rate of inter-provincial transmission channels of joint operation of regional power markets; economic indicators: power source substitution benefits of joint operation of regional power markets; capacity integration benefits of joint operation of regional power markets; ancillary service resource substitution benefits of joint operation of regional power markets; environmental indicators: new energy reduction benefits of joint operation of regional power markets; carbon reduction benefits of joint operation of regional power markets; The prediction data of the joint operation of the regional power market is determined based on the accounting data of the relevant provinces in the region and the historical data of the operation of the relevant provincial power markets in the region, specifically: Determining a load curve smoothing rate for joint operation of the regional power market based on the load curve data; Determining a demand-side response rate for the joint operation of the regional power market based on the transferable load amount and the actual dispatched power of the transferable load; Determining the utilization rate of the inter-provincial transmission channel for joint operation of the regional power market based on the transmission power of the inter-provincial transmission channel; Based on the power generation costs and winning power generation of the generator sets in the relevant provinces in the region, determine the power source substitution benefits of the joint operation of the regional power market; wherein the winning power generation is obtained by using a simulation clearing algorithm; Determine the capacity integration benefit of the joint operation of the regional power market based on the load curve data and the historical data of load fluctuations generated by the day-ahead and real-time markets; Determining the ancillary service resource revenue of the regional power market joint operation based on the reserve capacity unit call cost data; Determine the new energy reduction and abandonment benefits of the joint operation of the regional power market based on the actual consumption of the new energy and the output curve of the new energy unit; Based on the actual power generation of the thermal power units, the thermal power carbon emission factor and the carbon emission price on the carbon market, the carbon reduction benefits of the joint operation of the regional power market are determined.

5. The method according to claim 4, characterized in that Based on the load curve data, a load curve smoothing rate of the regional power market joint operation is determined, and the specific process includes: Determine the standard deviation of the load curves of the relevant provinces in the region, and the calculation formula is as follows: Where: L i,t is the load of province i at time t, is the average load value in the time period T considered in province i, σ i is the standard deviation of the load curve of province i in the region. Determine the standard deviation of the load curve for joint operation of the regional power market, and the calculation formula is as follows: Where: n is the province covered by the regional electricity market, is the average load of the entire area in time period T, σ 区域 is the standard deviation of the load curve after regional integration. Determine the load curve smoothing rate F1 of the joint operation of the regional power market: Where F1 is the load curve smoothing rate of the regional power market joint operation, minσ i is the minimum value of the standard deviation of the load curve of province i in the region, n is the number of provinces included in the joint operation of the regional power market, σ 区域 is the standard deviation of the load curve after regional integration.

6. The method according to claim 4, characterized in that Based on the transferable load amount and the actual dispatched power of the transferable load, the demand side response rate of the joint operation of the regional power market is determined; the specific process is: Determine the transfer load quantity of the regional power market joint operation, the calculation process is: Where: p 转移,i is the transferable load of province i, obtained through historical data collection; assuming that the transferable load only considers the transfer from the price peak segment to the price valley segment, U 区域 is the transfer load quantity of the region, λ1 is the peak electricity price, λ2 is the valley electricity price, obtained by the simulation clearing algorithm; the transfer cost c 转移 , generally taken as 0.13; N is a coefficient, which varies with different users, different periods, and different electricity price ranges. For ease of analysis, it is assumed that N = 0.0075, c 转移 , N can be set according to the actual situation of each province; Determine the demand side response rate of the joint operation of the regional power market. The calculation process is: Where: F2 is the demand side response rate of the regional power market joint operation, U 总 It is the total amount of actual dispatched electricity of transferable load when the power markets of provinces in the region operate independently.

7. The method according to claim 4, characterized in that The determination of the utilization rate of the inter-provincial transmission channel for the joint operation of the regional power market based on the transmission power of the inter-provincial transmission channel is specifically: Determine the utilization rate of the inter-provincial transmission channel for the joint operation of the regional power market, and the calculation formula is: Where: F3 is the utilization rate of inter-provincial transmission channels in the joint operation of regional power markets, P t,总 P is the average transmission power of the transmission channels across provinces when the relevant provincial power markets in the region operate independently, which is obtained from historical data collection; t,区域 is the average transmission power of the inter-regional transmission channel when the regional power market operates jointly, q s,t is the transmission power of the inter-provincial tie line s in time period t, obtained through the simulation clearing algorithm.

8. The method according to claim 4, characterized in that Based on the power generation units in the relevant provinces in the region, the power generation costs and the winning power generation, determine the power source substitution benefits of the joint operation of the regional power market; the specific process is: Determine the power generation cost of each province in the region when it operates independently i , the calculation formula is as follows: cost i =C L,i ·Q L,i +C H,i ·Q H,i In the formula, cost i In order to save the power generation cost when i is running alone, Q L,i and Q H,i are the power generation of low-cost units and high-cost units actually used in province i, respectively. The coverage of low-cost and high-cost units is divided by regional agencies according to specific circumstances. Here, the market historical data of each province are used to obtain the results; Determine the generation cost when the regional electricity market operates jointly 区域 for: In the formula, Q' L,i and Q' H,i They are the power generation of low-cost units and high-cost units actually called in province i after the joint operation of the regional power market. Here, the winning bid power obtained by the divided units in the simulation clearing algorithm is called; Determine the power supply replacement gain V 电源替代 , the calculation formula is as follows, where Said 9. The method according to claim 4, characterized in that Based on the load curve data and the load fluctuation history data generated by the day-ahead and real-time markets, the capacity integration benefit of the joint operation of the regional power market is determined; the specific process is: Determine the predicted maximum load in the area within 24 hours, the calculation formula is as follows: L i,max max t＝1,2,...,24 L i,t Where: L i,max is the maximum load of the power market of province i in the region operating independently, L i,t L is the average load of the t period in the 24-hour period contained in the load curve data; 区域,max is the maximum load after the joint operation of the regional power market; without considering the safety margin, the calculation formula for the installed power generation capacity is as follows: G 区域 =L 区域,max Where: G 总 G is the power generation capacity required by each province under the independent operation of the power market. 区域 The power generation capacity required for the region under the joint operation of the regional electricity market; Determine the power generation integration benefit V 发电整合 , and its calculation formula is as follows: V 发电整合 =(G 区域 -G 总 )×(λ a +λ b ) / D Where: a is the power generation investment per unit capacity; b is the supporting power grid investment; D is the depreciation period; Determine the reserve capacity integration benefits, the calculation process is as follows: Δl i,max =max t＝1,2,...,24 Δl i,t In the formula, Δl i,t is the load fluctuation generated by real-time clearing in province i at time t, Δl i,max is the maximum load fluctuation that occurs within 24 hours when the power market of provincial region i operates independently. Both are obtained by collecting historical data; Δl 区域,max It is the maximum load fluctuation that occurs within 24 hours when the regional power market operates jointly; G′ 区域 =Δl 区域,max Where: G′ 总 G′ is the reserve capacity required for the region under the independent operation of each provincial power market. 区域 The reserve capacity required by the region under the joint operation of the regional electricity market; Reserve capacity integration benefit V 备用整合 The calculation formula for the benefits of saving related investments after integration is as follows: V 备用整合 =(G′ 区域 -G′ 总 )×(λ a +λ b ) / D Where: a is the power generation investment per unit capacity; b is the supporting power grid investment; D is the depreciation period; Determine the capacity integration benefit V 容量整合 , the calculation formula is as follows: V 容量整合 =V 发电整合 +V 备用整合 。 10. The method according to claim 4, characterized in that Based on the reserve capacity unit call cost data, the ancillary service resource income of the regional power market joint operation is determined, and the specific process is: Assume that the unit cost of calling the reserve capacity in province i under actual load fluctuation is The ancillary service costs incurred for: In the formula, Δl i,t is the load fluctuation generated by real-time clearing in province i at time t; Determine the ancillary service costs incurred when operating a regional electricity market jointly The calculation process is: The ancillary service resource benefits of the joint operation of the regional power market are determined by the following calculation formula:

11. The method according to claim 4, characterized in that The method of determining the new energy reduction and abandonment benefits of the joint operation of the regional power market based on the actual consumption of the new energy and the output curve of the new energy unit is as follows: The calculation formula for determining the new energy reduction and abandonment benefits of the joint operation of the regional power market is as follows: Where D i wind and D i PV They are the abandoned wind power and abandoned photovoltaic power when province i operates independently; and are the actual power generation of wind turbines and photovoltaics in province i at time t, which are included in the output curve of new energy units in the market historical data; and They are the actual consumption of wind power and photovoltaic power at time t when province i is operating independently, which are included in the actual consumption of new energy in the market historical data; The total amount of wind and solar power abandoned in the joint operation of the regional power market is: The calculation formula for determining the new energy reduction and abandonment income is as follows: Where: is the average generation-clearing price in the day-ahead market period t, obtained by the simulation-clearing algorithm.

12. The method according to claim 4, characterized in that The carbon reduction benefits of the joint operation of the regional power market are determined based on the actual power generation of the thermal power units, the thermal power carbon emission factor and the carbon emission price on the carbon market. The specific process is: Determine the reduction in thermal power generation P 火电 , the calculation formula is as follows: In the formula, The actual amount of electricity generated by thermal power units in province i when operating independently is obtained by calling historical data; It is the actual amount of electricity generated by thermal power units after the joint operation of the regional power market. This data is included in the result data of the optimization clearing algorithm. Determine the carbon reduction benefits V of joint operation of regional electricity markets 减碳 , the calculation formula is as follows: In 减碳 =P 火电 ×F emission ×λ carbon Where V 减碳 is the carbon reduction benefit of the joint operation of regional electricity market, F emission is the carbon emission factor of thermal power, λ carbon is the price of carbon emissions in the carbon market.

13. The method according to claim 4, characterized in that The function evaluation index system is determined based on the forecast data of the joint operation of the regional power market, specifically: Using an entropy weight method, determining an entropy weight vector corresponding to each data in the predicted data; The function evaluation index system is determined based on the entropy weight vector and the forecast data of the joint operation of the regional power market.

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