| 考虑碳交易和绿证交易制度的电力批发市场能源优化 |
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| 引用本文： | 姚军,何姣,吴永飞,严彩霞.考虑碳交易和绿证交易制度的电力批发市场能源优化[J].中国电力,2012,55(8):190. |
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| 作者姓名： | 姚军 何姣 吴永飞 严彩霞 |
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| 作者单位： | 1. 长沙理工大学 经济与管理学院，湖南 长沙 410004;2. 国家电网公司财务资产部，北京 100031;3. 湖南理工学院 经济与管理学院，湖南 岳阳 414000;4. 湖南大学 工商管理学院，湖南 长沙 410082 |
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| 基金项目： | 教育部人文社会科学重点研究基地重大项目(18JJD790001)；湖南省哲学社会科学基金资助项目(20YBQ054)；湖南省社会科学成果评审委员会项目(XSP22YBZ071)。 |
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| 摘 要： | 在分析碳市场和绿证市场区别及对电力批发市场影响机理的基础上，构建了考虑碳交易和绿证交易制度的电力批发市场能源优化模型，并进行数值仿真分析。结果表明，碳交易与绿证交易制度协调对于优化电源结构、促进电力行业碳减排具有积极作用。在碳排放总量目标下存在一个满足各发电商总利润最大化的最优碳配额和绿证比例组合。
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| 收稿时间： | 2021-09-15 |
| 修稿时间： | 2022-06-21 |
Energy Optimization of Electricity Wholesale Market Considering Carbon Emissions Trading and Green Power Certificate Trading Mechanism |
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| YAO Jun,HE Jiao,WU Yongfei,YAN Caixia.Energy Optimization of Electricity Wholesale Market Considering Carbon Emissions Trading and Green Power Certificate Trading Mechanism[J].Electric Power,2012,55(8):190. |
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| Authors: | YAO Jun HE Jiao WU Yongfei YAN Caixia |
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| Affiliation: | 1. School of Economics & Management, Changsha University of Science & Technology, Changsha 410004, China;2. Financial & Assets Department, State Grid Corporation of China, Beijing 100031, China;3. School of Economics & Management, Hunan Institute of Science and Technology, Yueyang 414000, China;4. Business School, Hunan University, Changsha 410082, China |
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| Abstract: | Based on a comparative analysis of the differences between carbon emissions trading (CET) market and green certificate trading (GPCT) market, and also on the mechanism of the two markets' impact on the electricity wholesale market, this paper builds an energy optimization model of the electricity wholesale market with the concepts of CET and GPCT systems. Numerical simulation results indicate that: The coordination influences of CET and GPCT system have a positive effect on optimizing the power structure and promoting carbon emission reduction in the power industry. With the total carbon emission target, there exists an optimal combination of carbon emission allowance volume and green power certificate proportion that meets the maximization of the gross profit of each power generation company. |
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