{"title":"A Dynamic Price Zone Partitioning Strategy for Cross-Regional Market Transaction","authors":"Hui Cui, Xiaonan Yang, Dong-ling Cheng, Jianxiao Wang, Jing Li, Junfei Zhu","doi":"10.1109/CEEPE55110.2022.9783286","DOIUrl":null,"url":null,"abstract":"The reform of China’s electricity market continues to deepen, the proportion of cross-regional transactions continues to increase, and the cross-regional power market needs to be further improved. Northern Europe has a relatively mature regional electricity price mechanism, which has great guiding significance for the construction of China’s cross-regional and cross-provincial power market. This paper analyzes the applicability of the Nordic transnational electricity market clearing and congestion management model in China. The cross-regional market clearing method based on Locational Marginal Prices (LMP) and the flow-based (FB) model for cross-regional transmission capacity calculation are used for dynamic price zone partitioning and management. After considering the influence of geographical location and locational marginal electricity price, a k-means clustering model is used for price zone partitioning, and all transaction between price zones can be solved by FB model. A case study based on an IEEE 30-node system demonstrates the effectiveness of the proposed dynamic price zone partitioning strategy, which can better reflect the price signal and realize the optimal allocation of resources.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEPE55110.2022.9783286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The reform of China’s electricity market continues to deepen, the proportion of cross-regional transactions continues to increase, and the cross-regional power market needs to be further improved. Northern Europe has a relatively mature regional electricity price mechanism, which has great guiding significance for the construction of China’s cross-regional and cross-provincial power market. This paper analyzes the applicability of the Nordic transnational electricity market clearing and congestion management model in China. The cross-regional market clearing method based on Locational Marginal Prices (LMP) and the flow-based (FB) model for cross-regional transmission capacity calculation are used for dynamic price zone partitioning and management. After considering the influence of geographical location and locational marginal electricity price, a k-means clustering model is used for price zone partitioning, and all transaction between price zones can be solved by FB model. A case study based on an IEEE 30-node system demonstrates the effectiveness of the proposed dynamic price zone partitioning strategy, which can better reflect the price signal and realize the optimal allocation of resources.