Simulation Analysis of Power Spot Market Based on Evolutionary Game. Issue 2 (October 2020)

• Record Type: Journal Article
• Authors: Zhao, Erdong; Wang, Hao; Lin, Hongyang; Chen, Mingsong
• Is Part Of: Journal of physics. Volume 1624:Issue 2(2020)
• Publication Date: 2020-10
• Subjects: Spot electricity market -- Improved genetic algorithm -- Evolutionary game model -- Power generation enterprise; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1624/2/022069
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: As a new round of deepening reform in power system goes on in China, establishing an effective and complete power spot market nationwide based on the construction and operation of eight power spot trials becomes an important task for China. This paper analyzes the competitive strategies and capabilities of different types of power generation enterprises under the operating rules of the electricity spot market by building an evolutionary game model based on an improved genetic algorithm using MATLAB, which provides a valuable scientific basis for the construction and development of the future electricity spot market.