B. Patir, L. Sampath, B. K. Ranjan, Ashok Krishnan, Y. Eddy
{"title":"考虑排放成本的分布式最优潮流问题的Bernstein全局优化方法","authors":"B. Patir, L. Sampath, B. K. Ranjan, Ashok Krishnan, Y. Eddy","doi":"10.1109/TAPENERGY.2017.8397243","DOIUrl":null,"url":null,"abstract":"This paper proposes a distributed architecture for solving the optimal power flow (OPF) problem i n power systems operation. Specifically, a centralized solution approach (to solve single optimization problem) presented in the literature is posed as solving different local optimization problems. The Bernstein global optimization approach is used to solve these local optimization problems in a co-ordinated and distributed fashion. The proposed approach is implemented on a typical 3-bus power system, wherein the cost of CO2 emissions is also considered. The overall results obtained are satisfactory.","PeriodicalId":237016,"journal":{"name":"2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy)","volume":"611 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Bernstein global optimization approach for distributed optimal power flow problem incorporating emission costs\",\"authors\":\"B. Patir, L. Sampath, B. K. Ranjan, Ashok Krishnan, Y. Eddy\",\"doi\":\"10.1109/TAPENERGY.2017.8397243\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a distributed architecture for solving the optimal power flow (OPF) problem i n power systems operation. Specifically, a centralized solution approach (to solve single optimization problem) presented in the literature is posed as solving different local optimization problems. The Bernstein global optimization approach is used to solve these local optimization problems in a co-ordinated and distributed fashion. The proposed approach is implemented on a typical 3-bus power system, wherein the cost of CO2 emissions is also considered. The overall results obtained are satisfactory.\",\"PeriodicalId\":237016,\"journal\":{\"name\":\"2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy)\",\"volume\":\"611 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAPENERGY.2017.8397243\",\"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 Technological Advancements in Power and Energy ( TAP Energy)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAPENERGY.2017.8397243","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bernstein global optimization approach for distributed optimal power flow problem incorporating emission costs
This paper proposes a distributed architecture for solving the optimal power flow (OPF) problem i n power systems operation. Specifically, a centralized solution approach (to solve single optimization problem) presented in the literature is posed as solving different local optimization problems. The Bernstein global optimization approach is used to solve these local optimization problems in a co-ordinated and distributed fashion. The proposed approach is implemented on a typical 3-bus power system, wherein the cost of CO2 emissions is also considered. The overall results obtained are satisfactory.