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1.清华-伯克利深圳学院,清华大学深圳国际研究生院,广东省深圳市 518000
2.电力系统及大型发电设备安全控制和仿真国家重点实验室(清华大学),北京市 100084
3.清华大学电机工程与应用电子技术系,北京市 100084
Received:18 December 2021,
Revised:2022-03-21,
Published Online:06 May 2022,
Published:10 August 2022
移动端阅览
刘昊,郭烨,孙宏斌.中国跨区跨省电力交易综述及展望[J].电力系统自动化,2022,46(15):187-199.
LIU Hao,GUO Ye,SUN Hongbin.Review and Prospect of Inter-Regional and Inter-Provincial Power Trading in China[J].Automation of Electric Power Systems,2022,46(15):187-199.
刘昊,郭烨,孙宏斌.中国跨区跨省电力交易综述及展望[J].电力系统自动化,2022,46(15):187-199. DOI: 10.7500/AEPS20211218004.
LIU Hao,GUO Ye,SUN Hongbin.Review and Prospect of Inter-Regional and Inter-Provincial Power Trading in China[J].Automation of Electric Power Systems,2022,46(15):187-199. DOI: 10.7500/AEPS20211218004.
跨区跨省电力交易是指在由各运营主体负责下形成的区域(或省级)电网之间发生的电力交易行为。在实现“碳达峰、碳中和”的目标背景下,新能源发电占比将不断增长,考虑中国新能源发电与负荷的逆向地理分布现状,推动跨区跨省电力交易有利于实现更大范围内的资源优化配置,使得社会福利最大化。基于上述背景,对国内外多区域电力市场基本架构、交易分类、出清机制、模型求解算法、价格机制等方面进行了分析和介绍,总结了目前跨区跨省电力交易机制中的关键问题,并对后续研究方向进行了展望。
Inter-regional and inter-provincial power trading refers to the power trading activity between regional (or provincial)power grids which are formed under the responsibility of each operator. Under the background of achieving the goal of “carbon peak and carbon neutrality”
the proportion of renewable energy generation will continue to grow. Considering the reverse geographical distribution of renewable energy generation and load in China
promoting inter-regional and inter-provincial power trading is conducive to realizing the optimal allocation of resources in a larger range and maximizing the social welfare. Based on the above background
the basic structure
trading classification
clearing mechanism
model solving algorithm and price mechanism of multi-regional electricity market at home and abroad are analyzed and introduced
the key issues in the current inter-regional and inter-provincial power trading mechanism are summarized
and the future research directions are prospected.
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