全球能源互联网（英文）2023，Vol.6Issue(1)：92-102,11.DOI:10.1016/j.gloei.2023.02.008
基于演化博弈的风光火发电系统绿色证书-碳排放权-电力联合市场优化研究
Evolutionary game- based optimization of green certificate- carbon emission right- electricity joint market for thermal-wind-photovoltaic power system
摘要
Abstract
With the increasing proportion of renewable energy in the power market, the demands on government financial subsidies are gradually increasing. Thus, a joint green certificate- carbon emission right- electricity multi-market trading process is proposed to study the market-based strategy for renewable energy. Considering the commodity characteristics of green certificates and carbon emission rights, the dynamic cost models of green certificates and carbon rights are constructed based on the Rubinstein game and ladder pricing models. Furthermore, considering the irrational bidding behavior of energy suppliers in the actual electricity market, an evolutionary game based multi-market bidding optimization model is presented. Subsequently, it is solved using a composite differential evolutionary algorithm. Finally, the case study results reveal that the proposed model can increase profits and the consumption rate of renewable energy and reduce carbon emission.关键词
电力市场/碳排放权/绿色证书/演化博弈Key words
Electricity market/Carbon emission right/Green certificate/Evolutionary game引用本文复制引用
王冉,李延和,高丙团..基于演化博弈的风光火发电系统绿色证书-碳排放权-电力联合市场优化研究[J].全球能源互联网（英文）,2023,6(1):92-102,11.基金项目
This work was supported by the National Key R&D Program of China(2017YFB0902200). （2017YFB0902200）
