Puliang Du, Qi Zhao, Haihui Deng, Ziwen Ma, Zhongyao Chen, Minxiao Gong
{"title":"输配网双层分布式日前经济调度模型","authors":"Puliang Du, Qi Zhao, Haihui Deng, Ziwen Ma, Zhongyao Chen, Minxiao Gong","doi":"10.1109/CEECT50755.2020.9298604","DOIUrl":null,"url":null,"abstract":"With the distributed generation widely connected to the distribution network, the traditional power system day ahead economic scheduling has been difficult to adapt to the current situation. To solve this problem, a new day ahead economic dispatch model based on the theory of bi-level planning is proposed. It fully considers the independent operation characteristics, economy and low carbon of the transmission and distribution network, and generates the day ahead economic dispatching strategy of the transmission and distribution network. The model is divided into two layers: the upper level, which aims at the operation cost of transmission network; the lower level, which aims at the distribution network operating cost and low carbon. In the optimization process of the upper and lower levels, the power interaction relationship of transmission and distribution networks is introduced into the solution process in the form of a penalty function to realize decentralized autonomy and collaborative optimization of transmission and distribution networks. The simulation results show that the scheduling plan generated by the proposed model takes into account the generation resources of the transmission and distribution grid, which is helpful to improve the economy and low carbon of the grid operation.","PeriodicalId":115174,"journal":{"name":"2020 International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bi–level distributed day ahead economic dispatch model of transmission and distribution networks\",\"authors\":\"Puliang Du, Qi Zhao, Haihui Deng, Ziwen Ma, Zhongyao Chen, Minxiao Gong\",\"doi\":\"10.1109/CEECT50755.2020.9298604\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the distributed generation widely connected to the distribution network, the traditional power system day ahead economic scheduling has been difficult to adapt to the current situation. To solve this problem, a new day ahead economic dispatch model based on the theory of bi-level planning is proposed. It fully considers the independent operation characteristics, economy and low carbon of the transmission and distribution network, and generates the day ahead economic dispatching strategy of the transmission and distribution network. The model is divided into two layers: the upper level, which aims at the operation cost of transmission network; the lower level, which aims at the distribution network operating cost and low carbon. In the optimization process of the upper and lower levels, the power interaction relationship of transmission and distribution networks is introduced into the solution process in the form of a penalty function to realize decentralized autonomy and collaborative optimization of transmission and distribution networks. The simulation results show that the scheduling plan generated by the proposed model takes into account the generation resources of the transmission and distribution grid, which is helpful to improve the economy and low carbon of the grid operation.\",\"PeriodicalId\":115174,\"journal\":{\"name\":\"2020 International Conference on Electrical Engineering and Control Technologies (CEECT)\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Electrical Engineering and Control Technologies (CEECT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEECT50755.2020.9298604\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Electrical Engineering and Control Technologies (CEECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEECT50755.2020.9298604","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bi–level distributed day ahead economic dispatch model of transmission and distribution networks
With the distributed generation widely connected to the distribution network, the traditional power system day ahead economic scheduling has been difficult to adapt to the current situation. To solve this problem, a new day ahead economic dispatch model based on the theory of bi-level planning is proposed. It fully considers the independent operation characteristics, economy and low carbon of the transmission and distribution network, and generates the day ahead economic dispatching strategy of the transmission and distribution network. The model is divided into two layers: the upper level, which aims at the operation cost of transmission network; the lower level, which aims at the distribution network operating cost and low carbon. In the optimization process of the upper and lower levels, the power interaction relationship of transmission and distribution networks is introduced into the solution process in the form of a penalty function to realize decentralized autonomy and collaborative optimization of transmission and distribution networks. The simulation results show that the scheduling plan generated by the proposed model takes into account the generation resources of the transmission and distribution grid, which is helpful to improve the economy and low carbon of the grid operation.