{"title":"Optimization of wind thermal coordination dispatch using Flower Pollination Algorithm","authors":"K. Dhayalini, A. Prabhu","doi":"10.1109/ICPEDC47771.2019.9036495","DOIUrl":null,"url":null,"abstract":"In this paper the integration of thermal generators with wind units are considered and the solution of wind thermal dispatch problem using Flower Pollination Algorithm (FPA) is implemented. This algorithm is implemented to find the minimum production cost with valve effects of thermal units included. The approach is validated using two IEEE test systems consisting of six and thirteen units with a wind farm of 100MW capacity. The analysis is carried out neglecting the transmission losses. Simulation results predict the inclusion of wind power reduces the overall production cost.","PeriodicalId":426923,"journal":{"name":"2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEDC47771.2019.9036495","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
In this paper the integration of thermal generators with wind units are considered and the solution of wind thermal dispatch problem using Flower Pollination Algorithm (FPA) is implemented. This algorithm is implemented to find the minimum production cost with valve effects of thermal units included. The approach is validated using two IEEE test systems consisting of six and thirteen units with a wind farm of 100MW capacity. The analysis is carried out neglecting the transmission losses. Simulation results predict the inclusion of wind power reduces the overall production cost.