{"title":"Dynamic economic Emission Dispatch with consideration of time of use","authors":"G. Aghajani, N. Yousefi","doi":"10.1109/PECON.2016.7951642","DOIUrl":null,"url":null,"abstract":"Currently, the electrical smart grids are very effective in solving the problems of traditional electrical networks. The smart implementation of Demand Response Programs (DRPs) has significant impact on the decreased costs and increased network reliability. In this paper, the integrated model of time of use demand response program and issue of Dynamic Economic Emission Dispatch (DEED) is presented. In the integrated model, the production cost and emission are minimized and the optimal price rate is determined at different periods at the same time. Considering the various non-linear conditions such as point-valve effect, prohibited operating zones and spinning reserve, the problem become completely nonlinear and complex, which is solved using Random Drift Particle Swarm Optimization (RDPSO) algorithm. The final model is applied to a ten-unit system and proves the results of final model implementation advantages.","PeriodicalId":259969,"journal":{"name":"2016 IEEE International Conference on Power and Energy (PECon)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Power and Energy (PECon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PECON.2016.7951642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Currently, the electrical smart grids are very effective in solving the problems of traditional electrical networks. The smart implementation of Demand Response Programs (DRPs) has significant impact on the decreased costs and increased network reliability. In this paper, the integrated model of time of use demand response program and issue of Dynamic Economic Emission Dispatch (DEED) is presented. In the integrated model, the production cost and emission are minimized and the optimal price rate is determined at different periods at the same time. Considering the various non-linear conditions such as point-valve effect, prohibited operating zones and spinning reserve, the problem become completely nonlinear and complex, which is solved using Random Drift Particle Swarm Optimization (RDPSO) algorithm. The final model is applied to a ten-unit system and proves the results of final model implementation advantages.