Jinling Lu, Yuxing Wei, Hang Yang, Jinpeng Huang, Fei Wang
{"title":"基于Pareto-Nash均衡的有源配电网多利益相关者最优调度","authors":"Jinling Lu, Yuxing Wei, Hang Yang, Jinpeng Huang, Fei Wang","doi":"10.1109/IAS.2019.8912412","DOIUrl":null,"url":null,"abstract":"Distributed generation operators and users involved in demand response(DR) have gradually become new stakeholders in the active distribution network (ADN), while different stakeholders have different optimization dispatch objectives. Aiming at the problem optimal dispatch of distribution grid with multi-stakeholder participation, this paper first introduce the concept of virtual-microgrid (V-MG), and the multi-objective optimal dispatch model of independent stakeholder is established by constructing a joint optimal dispatch platform of ADN. Secondly, this paper introduces information entropy to improve the traditional NSGA-II algorithm and proposes a new NSGAEN algorithm. The NSGAEN algorithm can improve convergence speed and avoid falling into local optimum. Finally, a method for selecting the compromise solution in the Pareto optimal solution set by Nash equilibrium game is proposed, which can effectively solve the problem of excessive human preference factors in choosing the compromise solution. The effectiveness of the proposed model and algorithm is verified by an example of 33-node distribution network.","PeriodicalId":376719,"journal":{"name":"2019 IEEE Industry Applications Society Annual Meeting","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal Dispatch of Multi-stakeholder Based on Pareto-Nash Equilibrium Game for Active Distribution Network\",\"authors\":\"Jinling Lu, Yuxing Wei, Hang Yang, Jinpeng Huang, Fei Wang\",\"doi\":\"10.1109/IAS.2019.8912412\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Distributed generation operators and users involved in demand response(DR) have gradually become new stakeholders in the active distribution network (ADN), while different stakeholders have different optimization dispatch objectives. Aiming at the problem optimal dispatch of distribution grid with multi-stakeholder participation, this paper first introduce the concept of virtual-microgrid (V-MG), and the multi-objective optimal dispatch model of independent stakeholder is established by constructing a joint optimal dispatch platform of ADN. Secondly, this paper introduces information entropy to improve the traditional NSGA-II algorithm and proposes a new NSGAEN algorithm. The NSGAEN algorithm can improve convergence speed and avoid falling into local optimum. Finally, a method for selecting the compromise solution in the Pareto optimal solution set by Nash equilibrium game is proposed, which can effectively solve the problem of excessive human preference factors in choosing the compromise solution. The effectiveness of the proposed model and algorithm is verified by an example of 33-node distribution network.\",\"PeriodicalId\":376719,\"journal\":{\"name\":\"2019 IEEE Industry Applications Society Annual Meeting\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Industry Applications Society Annual Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAS.2019.8912412\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Industry Applications Society Annual Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAS.2019.8912412","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Dispatch of Multi-stakeholder Based on Pareto-Nash Equilibrium Game for Active Distribution Network
Distributed generation operators and users involved in demand response(DR) have gradually become new stakeholders in the active distribution network (ADN), while different stakeholders have different optimization dispatch objectives. Aiming at the problem optimal dispatch of distribution grid with multi-stakeholder participation, this paper first introduce the concept of virtual-microgrid (V-MG), and the multi-objective optimal dispatch model of independent stakeholder is established by constructing a joint optimal dispatch platform of ADN. Secondly, this paper introduces information entropy to improve the traditional NSGA-II algorithm and proposes a new NSGAEN algorithm. The NSGAEN algorithm can improve convergence speed and avoid falling into local optimum. Finally, a method for selecting the compromise solution in the Pareto optimal solution set by Nash equilibrium game is proposed, which can effectively solve the problem of excessive human preference factors in choosing the compromise solution. The effectiveness of the proposed model and algorithm is verified by an example of 33-node distribution network.