现代电力2012，Vol.29Issue(2)：80-84,5.
计及碳排放权交易的发电商报价策略研究
Research on Bidding Strategy of Generation Companies by Considering Carbon Emissions Rights Trading
摘要
Abstract
Based on agent market simulation, the bidding game process of generation companies is depicted in the market environment with carbon dioxide emissions rights trading. In this paper, the Simulated Annealing Q-Learning algorithm (SA-Q-Learning) is used to simulate the behavior of generation companies to pursue maximum profit, and the market clearing results are given. Then, the influence of carbon emission rights trading mechanism on the operation of the electricity market is analyzed. The simulation and calculation show that the agent generation companies can make favorable bidding decision according to state change with aim of obtaining maximum profit after considering carbon dioxide emissions rights trading, whose implementation can also promote the development of clean energy.关键词
碳排放权交易/报价策略/agent/模拟退火Q学习/电力市场Key words
carbon emission rights trading/ bidding strategy/ agent/ simulated annealing Q-Learning algorithm/ electricity market分类
信息技术与安全科学引用本文复制引用
葛炬,罗莎莎,蔡学文..计及碳排放权交易的发电商报价策略研究[J].现代电力,2012,29(2):80-84,5.基金项目
中央高校基本科研业务费专项资金资助(11MG02) （11MG02）
