Electric energy and frequency modulation auxiliary service game optimization method for power system with high wind power ratio

Abstract

The invention relates to an electric energy and frequency modulation auxiliary service game optimization method for a power system with a high wind power ratio. The method comprises the following steps: 1) establishing a game model of a thermal power supplier considering opportunity cost and a game model of a wind power supplier considering opportunity cost at different wind speeds; 2) constructing a random game model of electric energy and frequency modulation markets jointly participated by wind power merchants and thermal power merchants; 3) establishing a wind power and fire power bilateral market game model to realize the goal of more sales and less purchase of wind power merchants; and 4) based on the SAC algorithm, considering the constraint of each power generator, establishing a Multi-Agent-SAC deep reinforcement learning environment to simulate the random game behavior of the power generator, and obtaining the optimal game strategy, day-ahead output and intra-day output of each unit. Compared with the prior art, the method has the advantages of improving the income of wind power merchants, reducing the total cost of electric energy and frequency modulation auxiliary services, improving the wind power consumption rate and the like.

Description

technical field [0001] The invention relates to the field of new power system control, in particular to a game optimization method for electric energy and frequency modulation auxiliary service of high wind power proportion power system. Background technology [0002] By June 2021, China's wind power generation had reached 344.18 billion kwh, a year-on-year increase of about 44.6%. The gradual increase of wind power penetration has brought major challenges to the safe operation of the power system. The outstanding characteristics of the high proportion of renewable energy power system in the future are: if it mainly relies on the flexible regulation of coal-fired power plants and hydropower plants to realize the complementarity with wind and light new energy, the output of thermal power units will be close to the lower limit and the reduction potential will be insufficient in most periods of time. [0003] In order to improve the frequency response ability of the new power system...

AI Technical Summary

Problems solved by technology

The United States trades renewable energy such as wind power in the form of bilateral contract transactions, but lacks direct competition, and it is difficult to obtain the lowest power purchase price; the Nordic and Spanish electricity markets adopt hourly and 4-hourly intraday markets respectively. Renewable energy Power generators update their quotations according to the latest forecast results; at present, the participation of new energy sources such as wind power in various countries largely depends on the accuracy of wind power forecasts

There are also many literatures on the problem of wind power participating in the power market game, but using traditional methods such as CPLEX to solve the game optimization model cannot reflect the complex game competition behavior of each power generation company as a market participant; reinforcement learning to solve stochastic games has been applied to power The game optimization in the system, but the current relevant research has not considered the uncertainty of wind power output, intelligent decision-making, wind and fire joint participation in the electric energy market and the frequency regulation market; the existing literature studies the joint clearing of the electric energy market and the frequency regulation market, but It can’t deal with the problem of how wind power companies can declare strategies to maximize their profits when wind power is in different wind speed zones; there are many literatures on how renewable energy power companies can avoid risks and improve individual income, but there are still wind power companies. Therefore, research on the game optimization method of electric energy and frequency modulation market matching with the new power system with a high proportion of wind power and design of a suitable market transaction plan are of great importance to the future high proportion. The development of renewable energy is of great significance

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