{"title":"考虑风电与光伏关联性的配电网分解协调规划方法","authors":"Linjun Shi, Yaoqi Chen, Chenyu Zhao, Weiguo He, C. Wang, Xiaohui Xu","doi":"10.1109/ICICE.2017.8478961","DOIUrl":null,"url":null,"abstract":"Owning to the influence of DGs, the planning for the distribution network is researched in the paper. Firstly, the frank-copula model is used to describe the correlation of wind-PV, which should be added into the distribution network planning model. In the united planning of DGs and network, the total social cost is the objective function and the decomposed-coordinating method is presented to simplify solution of united planning, which is decomposition by two planning layer. For the upper layer, the DGs are optimized with the goal of minimum DG social general costs. For the lower layer, the total investment of lines, the loss cost and the maintenance costs as the objective function should be least. The improved genetic algorithm is used to solve the decomposed-coordinating planning. The IEEE-29 shows that the method presented in the paper is more efficient and faster than traditional way.","PeriodicalId":233396,"journal":{"name":"2017 International Conference on Information, Communication and Engineering (ICICE)","volume":"970 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The Decomposed-Coordinating Planning Method on Distribution Network Considering the Correlation of Wind Power and PV\",\"authors\":\"Linjun Shi, Yaoqi Chen, Chenyu Zhao, Weiguo He, C. Wang, Xiaohui Xu\",\"doi\":\"10.1109/ICICE.2017.8478961\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Owning to the influence of DGs, the planning for the distribution network is researched in the paper. Firstly, the frank-copula model is used to describe the correlation of wind-PV, which should be added into the distribution network planning model. In the united planning of DGs and network, the total social cost is the objective function and the decomposed-coordinating method is presented to simplify solution of united planning, which is decomposition by two planning layer. For the upper layer, the DGs are optimized with the goal of minimum DG social general costs. For the lower layer, the total investment of lines, the loss cost and the maintenance costs as the objective function should be least. The improved genetic algorithm is used to solve the decomposed-coordinating planning. The IEEE-29 shows that the method presented in the paper is more efficient and faster than traditional way.\",\"PeriodicalId\":233396,\"journal\":{\"name\":\"2017 International Conference on Information, Communication and Engineering (ICICE)\",\"volume\":\"970 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Information, Communication and Engineering (ICICE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICE.2017.8478961\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Information, Communication and Engineering (ICICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICE.2017.8478961","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Decomposed-Coordinating Planning Method on Distribution Network Considering the Correlation of Wind Power and PV
Owning to the influence of DGs, the planning for the distribution network is researched in the paper. Firstly, the frank-copula model is used to describe the correlation of wind-PV, which should be added into the distribution network planning model. In the united planning of DGs and network, the total social cost is the objective function and the decomposed-coordinating method is presented to simplify solution of united planning, which is decomposition by two planning layer. For the upper layer, the DGs are optimized with the goal of minimum DG social general costs. For the lower layer, the total investment of lines, the loss cost and the maintenance costs as the objective function should be least. The improved genetic algorithm is used to solve the decomposed-coordinating planning. The IEEE-29 shows that the method presented in the paper is more efficient and faster than traditional way.