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Evolutionary Game Analysis of Power Generation Groups Considering Energy Price Fluctuation

Authors :
Yu Jiang
Changyu Qian
Jie Yu
Luyao Zhou
Zheng Wang
Qian Chen
Yang Wang
Xiaole Ma
Source :
Algorithms, Vol 15, Iss 12, p 456 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

As the double carbon target continues to be promoted and the installed capacity of gas-fired power generation gradually expands, whether and when gas-fired power generation should enter the market is a major concern for the industry. This paper analyzes the change in power generation cost and the characteristics of bidding behavior of the power generation group with the fluctuation of primary energy price to study the timing and role of gas power generation entering the market. The evolutionary game model for gas- and coal-fired power generation groups based on the influence of multiple factors takes into account factors such as generation costs, the number of power generation groups, generation capacity, supply, and demand. The equilibrium states of the power generation groups under various scenarios and the conditions that need to be satisfied for the equilibrium states are analyzed, and a method for determining the stable equilibrium point of the evolving market game is proposed. Examples use the actual price fluctuations of coal and natural gas as input data to validate the rationality of the paper’s model and the stable equilibrium approach.

Details

Language :
English
ISSN :
19994893
Volume :
15
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Algorithms
Publication Type :
Academic Journal
Accession number :
edsdoj.59b114042aa4365a6b4b5c96ff4f160
Document Type :
article
Full Text :
https://doi.org/10.3390/a15120456