CN-121981360-A - Comprehensive cost recovery model and solving method, system, equipment and medium for power generation main body multi-product market

CN121981360ACN 121981360 ACN121981360 ACN 121981360ACN-121981360-A

Abstract

The invention discloses a comprehensive cost recovery model and solving method, system, equipment and medium under a multi-product market of a power generation main body, belonging to the technical field of power market operation and optimization, comprising the steps of collecting panoramic data of power market operation and full life cycle cost data of power generation assets, constructing a lower model objective function, constructing a lower model constraint condition based on the lower model objective function, constructing an upper model objective function, and respectively calculating market indexes, compensation indexes and cost based on the upper model objective function; the method comprises the steps of converting a constructed lower model through a dual theory, uniformly solving the lower model and an upper model, conveying data to the upper model, and calling a solver to calculate the cost recovery condition of the power generation enterprise.

Inventors

LI CHAOJIE
YU XIANXIONG
ZHU SILIN
JIANG YOUQUAN
TIAN SHIJIN
CHEN JUNWEI
HU QUAN
LI BO
PENG SIRAN
GUO RUYUE
DAI JIANG
WANG MINGWEI
LIU ZHE

Assignees

贵州电网有限责任公司

Dates

Publication Date: 20260505
Application Date: 20251128

Claims (10)

1. A method for recovering and solving comprehensive cost of a power generation main body under a multi-product market is characterized by comprising the following steps of, Collecting electric power market operation panoramic data and full life cycle cost data of power generation assets, constructing a lower model objective function and establishing a lower model constraint condition based on the lower model objective function; Based on the lower model, an upper model objective function is constructed, and market indexes, compensation indexes and cost are calculated based on the upper model objective function respectively; And converting the constructed lower model by a dual theory, uniformly solving the lower model and the upper model, transmitting data to the upper model, and calling a solver to calculate the cost recovery condition of the power generation enterprise.
2. The method for recovering and solving comprehensive cost under a multi-product market of a power generation main body according to claim 1, wherein the steps of collecting panoramic data of operation of the power generation main body and full life cycle cost data of the power generation main body, simplifying the multi-stage market, constructing an objective function of the lower model and constructing constraint conditions of the lower model based on the objective function of the lower model comprise, Collecting electric power market operation panoramic data and full life cycle cost data of power generation assets, and simplifying a multi-stage market; Constructing a lower model objective function based on the simplified multi-level market; And establishing constraint conditions of the lower model based on the objective function of the lower model.
3. The method for recovering and solving comprehensive cost in a multi-product market of a power generation subject according to claim 2, wherein constructing an objective function of an upper model based on the lower model and calculating market index, compensation index and cost based on the objective function of the upper model respectively comprises, Based on the lower model, constructing an upper model objective function according to a preset cost target; respectively calculating market indexes, compensation indexes and cost according to the upper model objective function; And establishing constraint conditions of the upper model based on the calculated market benefit, compensation benefit and cost.
4. The method for recovering and solving comprehensive cost of the power generation main body under the multi-product market according to claim 3, wherein the step of converting the constructed lower model through dual theory, uniformly solving the lower model and the upper model, and transmitting data to the upper model, the step of calling a solver to calculate the recovery condition of the cost of the power generation enterprise comprises the steps of, Establishing a constraint optimization problem quantification frame of the lower model, and constructing conversion constraint conditions according to the constraint optimization problem quantification frame; Converting the constructed lower model by a dual theory, and uniformly solving the lower model and the upper model; and based on the converted lower model, transmitting data to the upper model, and calling a solver to calculate the cost recovery condition of the power generation enterprise.
5. The method for recovering and solving comprehensive cost under a multi-product market of a power generation main body according to claim 4, wherein constructing an objective function of a lower model comprises, Aiming at minimizing the purchase cost of the multi-level market, constructing an objective function of a lower model, wherein the expression is as follows: Wherein, the In order to participate in the collection of units in the spot market, For a set of time periods of a day, For a segment set of spot offers, During time period for medium-long term contracts Is used for decomposing the electric quantity of the battery, Is a unit In the time period Average price of the medium-and-long-term contracts, For units in spot market At the position of Time period of first The marked-out force in the segment, Is a unit At the position of The up-peak standby of the period winning bid amount, Is a unit At the position of The peak-down spare bid-winning capacity of the time period, Is a unit At the position of The winning bid force is marked in the standby of time period frequency modulation, Is a unit At the position of Time period of first Segment spot quotation, wherein the segment quotation is a step ascending curve, and meets the following requirements , Is a unit In the peak-shaving standby market The reserve price quoted over the period of time, Is a unit In the peak-shaving standby market The reserve price quoted during the time period, Is a unit In the frequency modulation market The period of time quoted price is set, Is a unit The bid price in the capacity market, Is a unit The winning capacity in the capacity market, For the total cost of medium-to-long market contracts, Is a unit Is used for the purchase of electricity at the same time, In order to make the total electricity purchase cost of the spot market, To sum up the costs in both the up and down back-up market and the frequency modulation market, Is a volume market fee.
6. The method for recovering and solving comprehensive cost under a multi-product market of a power generation main body according to claim 5, wherein constructing an objective function of an upper model comprises, And constructing an upper model objective function with the aim of minimizing the market cost of all units at each level, wherein the expression is as follows: Wherein, the Is a unit Is added to the daily gain of (1), Is a unit Is a medium-long term market benefit of (c), Is a unit Is a spot market benefit of (a) and (b), Is a unit Is used for regulating the market income of the peak-shaving reserve, Is a unit Is used for the frequency modulation standby market benefit, Is a unit The price of electricity of the capacity of (c) compensates for the benefit, Is a unit The fixed cost of one day is decomposed, Is a unit Fuel cost of a day.
7. The method for recovering and solving comprehensive cost under the market of multiple products of power generation bodies according to claim 6, wherein the constraint conditions for establishing the upper model comprise, The expression of the upper model constraint condition is: Wherein, the Is a unit Is a daily benefit of (1).
8. A system for recovering and solving comprehensive cost of a power generation main body in a multi-product market, which is characterized by comprising a data acquisition and lower model construction module, an upper model construction module and a condition conversion and solving module by using the method for recovering and solving comprehensive cost of the power generation main body in the multi-product market according to any one of claims 1 to 7, The data acquisition and lower model construction module acquires panoramic data of electric power market operation and full life cycle cost data of power generation assets, constructs a lower model objective function and builds a lower model constraint condition based on the lower model objective function; The upper model construction module is used for constructing an upper model objective function based on the lower model and respectively calculating market indexes, compensation indexes and cost based on the upper model objective function; The condition conversion and solving module converts the constructed lower model through dual theory, uniformly solves the lower model and the upper model, transmits data to the upper model, and calls a solver to calculate the cost recovery condition of the power generation enterprise.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of a method for comprehensive cost recovery model and solution under a multi-product market for a power generating main body according to any one of claims 1 to 7.
10. A computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of a method for generating a main body multi-product market comprehensive cost recovery model and solving according to any of claims 1 to 7.

Description

Comprehensive cost recovery model and solving method, system, equipment and medium for power generation main body multi-product market Technical Field The invention relates to the technical field of electric power market operation and optimization, in particular to a method, a system, equipment and a medium for recovering and solving comprehensive cost of a power generation main body under a multi-product market. Background In the context of advanced reform in the electric power market, the traditional single electric energy market is evolving gradually into a multi-product coupled market system including a capacity market, a medium-long term market, a spot market and an auxiliary service market. The evolution aims at optimizing resource allocation through a market mechanism, guaranteeing safe and reliable supply of electric power and promoting the consumption of renewable energy sources. However, the complexity of multi-market coupling also presents a significant challenge for cost-effective accounting and recycling for power generation enterprises. The traditional method can not accurately calculate the cost of the power generation enterprise and accurately analyze the recovery condition of the cost of the power generation enterprise, and cannot consider the complexity of capacity market, medium-term market of electric power, and coupling of the spot market of electric power and auxiliary market. Disclosure of Invention The present invention has been made in view of the above-described problems. Therefore, the invention solves the technical problems of accurately calculating the cost of the power generation enterprise and realizing the accurate analysis of the recovery condition of the cost of the power generation enterprise, and considering the complexity of capacity market, medium-long-term electric power market, and coupling of the electric power spot market and auxiliary market. In order to solve the technical problems, the invention provides the following technical proposal that the comprehensive cost recovery model and solving method under the market of the multi-product of the power generation main body comprises, Collecting electric power market operation panoramic data and full life cycle cost data of power generation assets, constructing a lower model objective function and establishing a lower model constraint condition based on the lower model objective function; Based on the lower model, an upper model objective function is constructed, and market indexes, compensation indexes and cost are calculated based on the upper model objective function respectively; And converting the constructed lower model by a dual theory, uniformly solving the lower model and the upper model, transmitting data to the upper model, and calling a solver to calculate the cost recovery condition of the power generation enterprise. The invention is a preferable scheme of a comprehensive cost recovery model and solving method under a multi-product market of a power generation main body, wherein the steps of collecting electric power market operation panoramic data and full life cycle cost data of power generation assets, simplifying a multi-stage market, constructing a lower model objective function and constructing a constraint condition of the lower model based on the lower model objective function comprise, Collecting electric power market operation panoramic data and full life cycle cost data of power generation assets, and simplifying a multi-stage market; Constructing a lower model objective function based on the simplified multi-level market; And respectively establishing constraint conditions of the lower model based on the lower model objective function. The invention relates to a preferable scheme of a comprehensive cost recovery model and solving method under a power generation main body multi-product market, wherein the method comprises the steps of constructing an upper model objective function based on a lower model, respectively calculating market indexes, compensation indexes and cost based on the upper model objective function, Based on the lower model, constructing an upper model objective function according to a preset cost target; respectively calculating market indexes, compensation indexes and cost according to the upper model objective function; And establishing constraint conditions of the upper model based on the calculated market benefit, compensation benefit and cost. The invention relates to a comprehensive cost recovery model and solving method under the market of multiple products of a power generation main body, wherein the method comprises the steps of uniformly solving the constructed lower model and the upper model through the conversion of dual theory, transmitting data to the upper model, calling a solver to calculate the cost recovery condition of the power generation enterprise, Establishing a constraint optimization problem quantification frame of the lower model, and constructing c