{"title":"智能电网协同需求响应方案","authors":"A. Salami, M. Farsi","doi":"10.1109/SGC.2015.7857417","DOIUrl":null,"url":null,"abstract":"Demand response as a demand side management program, can be a solution for providing the electrical power at peak times. In this paper an effective demand response program is proposed that not only reduces the consumer bill costs and demand peak, but also increases the utility benefit. According to use different method of demand response use, different results are obtained that can be either useful for cost saving or peak reduction. Produced structures by proposed demand response method are optimized by differential evolution algorithm. Simulation results for proposed structures are presented and an executive comparison for these results is done.","PeriodicalId":117785,"journal":{"name":"2015 Smart Grid Conference (SGC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A cooperative demand response program for smart grids\",\"authors\":\"A. Salami, M. Farsi\",\"doi\":\"10.1109/SGC.2015.7857417\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Demand response as a demand side management program, can be a solution for providing the electrical power at peak times. In this paper an effective demand response program is proposed that not only reduces the consumer bill costs and demand peak, but also increases the utility benefit. According to use different method of demand response use, different results are obtained that can be either useful for cost saving or peak reduction. Produced structures by proposed demand response method are optimized by differential evolution algorithm. Simulation results for proposed structures are presented and an executive comparison for these results is done.\",\"PeriodicalId\":117785,\"journal\":{\"name\":\"2015 Smart Grid Conference (SGC)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Smart Grid Conference (SGC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SGC.2015.7857417\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Smart Grid Conference (SGC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SGC.2015.7857417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A cooperative demand response program for smart grids
Demand response as a demand side management program, can be a solution for providing the electrical power at peak times. In this paper an effective demand response program is proposed that not only reduces the consumer bill costs and demand peak, but also increases the utility benefit. According to use different method of demand response use, different results are obtained that can be either useful for cost saving or peak reduction. Produced structures by proposed demand response method are optimized by differential evolution algorithm. Simulation results for proposed structures are presented and an executive comparison for these results is done.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
