E. Espinosa-Juárez, Jorge Luis Solano-Gallegos, F. Ornelas‐Tellez
{"title":"太阳能发电短期预测下的电力系统经济调度","authors":"E. Espinosa-Juárez, Jorge Luis Solano-Gallegos, F. Ornelas‐Tellez","doi":"10.1109/CSCI49370.2019.00096","DOIUrl":null,"url":null,"abstract":"This paper presents the problem of economic dispatch for an electrical system with unconventional energy sources and energy storage. The economic dispatch is considered for demand variations over 24 hours, taking into account the forecast of solar energy for one hour ahead, based on the autoregressive process. The implemented algorithm allows analysis of economic dispatch under different restrictions. A case study is shown, where different levels of renewable energy penetration into the system are considered and the effectiveness of the implemented algorithm is observed","PeriodicalId":103662,"journal":{"name":"2019 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Economic Dispatch for Power System with Short-Term Solar Power Forecast\",\"authors\":\"E. Espinosa-Juárez, Jorge Luis Solano-Gallegos, F. Ornelas‐Tellez\",\"doi\":\"10.1109/CSCI49370.2019.00096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the problem of economic dispatch for an electrical system with unconventional energy sources and energy storage. The economic dispatch is considered for demand variations over 24 hours, taking into account the forecast of solar energy for one hour ahead, based on the autoregressive process. The implemented algorithm allows analysis of economic dispatch under different restrictions. A case study is shown, where different levels of renewable energy penetration into the system are considered and the effectiveness of the implemented algorithm is observed\",\"PeriodicalId\":103662,\"journal\":{\"name\":\"2019 International Conference on Computational Science and Computational Intelligence (CSCI)\",\"volume\":\"177 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Computational Science and Computational Intelligence (CSCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSCI49370.2019.00096\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Computational Science and Computational Intelligence (CSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCI49370.2019.00096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Economic Dispatch for Power System with Short-Term Solar Power Forecast
This paper presents the problem of economic dispatch for an electrical system with unconventional energy sources and energy storage. The economic dispatch is considered for demand variations over 24 hours, taking into account the forecast of solar energy for one hour ahead, based on the autoregressive process. The implemented algorithm allows analysis of economic dispatch under different restrictions. A case study is shown, where different levels of renewable energy penetration into the system are considered and the effectiveness of the implemented algorithm is observed
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
