Hao Zhang, Hang Zhao, Jiahao Xiong, Peidong Xu, Ke Zhang, Yuxin Dai, Haoran Zhang, Jun Zhang, Tianlu Gao
{"title":"跨省电力现货交易机制与省级电力分配制度设计","authors":"Hao Zhang, Hang Zhao, Jiahao Xiong, Peidong Xu, Ke Zhang, Yuxin Dai, Haoran Zhang, Jun Zhang, Tianlu Gao","doi":"10.1109/DTPI55838.2022.9998929","DOIUrl":null,"url":null,"abstract":"With the wake of development of the market-oriented power sector reform and the gradual deepening of new energy, the energy structure and its supply-demand relationship in China are experiencing dramatic changes. Under such circumstance, the allocation of electric power and its surplus-shortage coordination are facing unprecedented challenges. However, the market trading mechanism concerning the surplus-shortage coordination between provinces has not yet been established, prompting the urgent need for trans-provincial power spot trading. This paper refers to the current spot trading mechanism and further expands the scope of power trading, enriches the participants of the market, establishes the overall framework of inter provincial power spot trading, and constructs the market clearing model after fully combining the actual operation needs of the power grid. After that, under the assumption that the spot electricity trading market is cleared, this paper sets up the power distribution mechanism in the province in combination with the utility theory. Finally, the feasibility and effectiveness of the above mechanism are verified by the power consumption data of all provinces and regions in the province. The paper provides a practical solution for how to reasonably allocate the scarce resource of electricity.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of Trans-Provincial Power Spot Trading Mechanism and Provincial Power Allocation System\",\"authors\":\"Hao Zhang, Hang Zhao, Jiahao Xiong, Peidong Xu, Ke Zhang, Yuxin Dai, Haoran Zhang, Jun Zhang, Tianlu Gao\",\"doi\":\"10.1109/DTPI55838.2022.9998929\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the wake of development of the market-oriented power sector reform and the gradual deepening of new energy, the energy structure and its supply-demand relationship in China are experiencing dramatic changes. Under such circumstance, the allocation of electric power and its surplus-shortage coordination are facing unprecedented challenges. However, the market trading mechanism concerning the surplus-shortage coordination between provinces has not yet been established, prompting the urgent need for trans-provincial power spot trading. This paper refers to the current spot trading mechanism and further expands the scope of power trading, enriches the participants of the market, establishes the overall framework of inter provincial power spot trading, and constructs the market clearing model after fully combining the actual operation needs of the power grid. After that, under the assumption that the spot electricity trading market is cleared, this paper sets up the power distribution mechanism in the province in combination with the utility theory. Finally, the feasibility and effectiveness of the above mechanism are verified by the power consumption data of all provinces and regions in the province. The paper provides a practical solution for how to reasonably allocate the scarce resource of electricity.\",\"PeriodicalId\":409822,\"journal\":{\"name\":\"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)\",\"volume\":\"115 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DTPI55838.2022.9998929\",\"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 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DTPI55838.2022.9998929","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of Trans-Provincial Power Spot Trading Mechanism and Provincial Power Allocation System
With the wake of development of the market-oriented power sector reform and the gradual deepening of new energy, the energy structure and its supply-demand relationship in China are experiencing dramatic changes. Under such circumstance, the allocation of electric power and its surplus-shortage coordination are facing unprecedented challenges. However, the market trading mechanism concerning the surplus-shortage coordination between provinces has not yet been established, prompting the urgent need for trans-provincial power spot trading. This paper refers to the current spot trading mechanism and further expands the scope of power trading, enriches the participants of the market, establishes the overall framework of inter provincial power spot trading, and constructs the market clearing model after fully combining the actual operation needs of the power grid. After that, under the assumption that the spot electricity trading market is cleared, this paper sets up the power distribution mechanism in the province in combination with the utility theory. Finally, the feasibility and effectiveness of the above mechanism are verified by the power consumption data of all provinces and regions in the province. The paper provides a practical solution for how to reasonably allocate the scarce resource of electricity.