{"title":"Nonuniform composite representation of hydroelectric systems for long-term hydrothermal scheduling","authors":"G. da Cruz, S. Soares","doi":"10.1109/PICA.1995.515293","DOIUrl":null,"url":null,"abstract":"This paper presents a nonuniform composite representation of hydroelectric systems for use in long-term hydrothermal scheduling. This representation was developed from reservoir operational rules based on optimal reservoir trajectories obtained with a deterministic hydrothermal scheduling algorithm. A test system consisting of 7 large hydroelectric plants of the Southeast Brazilian Power System with 12572 MW of installed power capacity was selected for a case study. Operational cost comparisons with the classical uniform composite representation reveal significant savings.","PeriodicalId":294493,"journal":{"name":"Proceedings of Power Industry Computer Applications Conference","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Power Industry Computer Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PICA.1995.515293","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 30
Abstract
This paper presents a nonuniform composite representation of hydroelectric systems for use in long-term hydrothermal scheduling. This representation was developed from reservoir operational rules based on optimal reservoir trajectories obtained with a deterministic hydrothermal scheduling algorithm. A test system consisting of 7 large hydroelectric plants of the Southeast Brazilian Power System with 12572 MW of installed power capacity was selected for a case study. Operational cost comparisons with the classical uniform composite representation reveal significant savings.
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
