Open AccessSimulation Analysis of Power Spot Market Based on Evolutionary Game
Author(s) -
En-Guang Zhao,
Hao Wang,
Hongyang Lin,
Mingsong Chen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1624/2/022069
Subject(s) - electricity market , electricity , spot contract , spot market , matlab , power market , china , computer science , power (physics) , electricity generation , task (project management) , electric power system , industrial organization , operations research , economics , engineering , systems engineering , electrical engineering , finance , geography , physics , quantum mechanics , operating system , futures contract , archaeology
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.