{"title":"考虑风电安全和经济风险的需求响应日前发电计划模型","authors":"Jian Wang, Zongxiang Lu, Ying Qiao, Guiping Zhu","doi":"10.1109/PMAPS.2016.7764139","DOIUrl":null,"url":null,"abstract":"Wind curtailment is a severe problem in wind power development in China and demand response is considered to be one of the resources that have great potential to promote the utilization of wind power. This paper proposes a new day-ahead generation schedule model with demand response scheme in the background of joint operation of wind farms and high energy consuming loads. Considering the stochastic character of wind power, risk evaluation and corresponding optimization method is applied. The objective for this model is to minimize the secure and economic risks of wind power and the cost of thermal power units comprehensively. Detailed model and evaluation method are shown in this paper. The simulation results illustrate that this model presents better performance in reducing the wind curtailment ratio and operating cost compared with the demand response model without consideration of risks of wind power.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Day-ahead generation schedule model with demand response considering the secure and economic risks of wind power\",\"authors\":\"Jian Wang, Zongxiang Lu, Ying Qiao, Guiping Zhu\",\"doi\":\"10.1109/PMAPS.2016.7764139\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wind curtailment is a severe problem in wind power development in China and demand response is considered to be one of the resources that have great potential to promote the utilization of wind power. This paper proposes a new day-ahead generation schedule model with demand response scheme in the background of joint operation of wind farms and high energy consuming loads. Considering the stochastic character of wind power, risk evaluation and corresponding optimization method is applied. The objective for this model is to minimize the secure and economic risks of wind power and the cost of thermal power units comprehensively. Detailed model and evaluation method are shown in this paper. The simulation results illustrate that this model presents better performance in reducing the wind curtailment ratio and operating cost compared with the demand response model without consideration of risks of wind power.\",\"PeriodicalId\":265474,\"journal\":{\"name\":\"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PMAPS.2016.7764139\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PMAPS.2016.7764139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Day-ahead generation schedule model with demand response considering the secure and economic risks of wind power
Wind curtailment is a severe problem in wind power development in China and demand response is considered to be one of the resources that have great potential to promote the utilization of wind power. This paper proposes a new day-ahead generation schedule model with demand response scheme in the background of joint operation of wind farms and high energy consuming loads. Considering the stochastic character of wind power, risk evaluation and corresponding optimization method is applied. The objective for this model is to minimize the secure and economic risks of wind power and the cost of thermal power units comprehensively. Detailed model and evaluation method are shown in this paper. The simulation results illustrate that this model presents better performance in reducing the wind curtailment ratio and operating cost compared with the demand response model without consideration of risks of wind power.