{"title":"跨区域市场交易的动态价格分区策略","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":"{\"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}","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}
A Dynamic Price Zone Partitioning Strategy for Cross-Regional Market Transaction
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.