Research Article
Transaction Optimization Decision of Integrated Energy Market based on Genetic Algorithm
@INPROCEEDINGS{10.4108/eai.24-2-2023.2330637, author={Yi Wang and Yong Yu and Jie Xu and Jianli Yang}, title={Transaction Optimization Decision of Integrated Energy Market based on Genetic Algorithm}, proceedings={Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2023, Chengdu, China}, publisher={EAI}, proceedings_a={EMIS}, year={2023}, month={6}, keywords={genetic algorithm integrated energy market market transaction optimization decision}, doi={10.4108/eai.24-2-2023.2330637} }- Yi Wang
Yong Yu
Jie Xu
Jianli Yang
Year: 2023
Transaction Optimization Decision of Integrated Energy Market based on Genetic Algorithm
EMIS
EAI
DOI: 10.4108/eai.24-2-2023.2330637
Abstract
China is the world's largest energy producer and consumer. In the context of global warming and the transformation of the international energy structure, China's energy development is facing great pressure from the structural reform of the supply and demand side; In the process of China's energy structure transformation, it is urgent to reduce energy consumption while meeting various energy needs and put forward the optimization decision of comprehensive energy market transactions. Therefore, based on genetic algorithm(GA), this paper studies and analyzes the transaction optimization decision of integrated energy market(IEM). This paper briefly introduces the trading system of the energy market and the multi-agent trading mode of the IEM, highlights the GA, and discusses the optimization decision-making of the IEM based on the GA. Finally, the simulation experiment is carried out through the optimization of the IEM. The simulation results show that the proposed operation optimization(OO) decision-making model based on the GA can effectively and improve the social and environmental benefits of the system operation, Improve the economic cost of operation; GA is used to solve the calculation of optimization model, and the feasibility of transaction mechanism and optimization model is verified by the algorithm.
