{"title":"基于GAMS环境的机组承诺问题求解方法","authors":"Vineet Kumar, R. Naresh, Amita Singh","doi":"10.1109/ICICT46931.2019.8977718","DOIUrl":null,"url":null,"abstract":"In day to day life, with an ever-growing demand in power sector, planning and operation plays a vital role in providing an economical, reliable and efficient electricity to the consumers. In this regard, unit commitment (UC) plays a significant part in daily planning and optimal scheduling of generating units so as to meet the hourly load demand in an efficient manner. This paper focusses on presenting a robust and effective methodology for solving the UC problem using GAMS simulation environment. In this work, to assess the effectiveness of GAMS over MATLAB environment, 3 and 4 thermal generating units with and without spinning reserves and ramp rate constraints have been considered over 24-hour time horizon.","PeriodicalId":412668,"journal":{"name":"2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Solution Approach to Unit Commitment Problem Using GAMS Environment\",\"authors\":\"Vineet Kumar, R. Naresh, Amita Singh\",\"doi\":\"10.1109/ICICT46931.2019.8977718\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In day to day life, with an ever-growing demand in power sector, planning and operation plays a vital role in providing an economical, reliable and efficient electricity to the consumers. In this regard, unit commitment (UC) plays a significant part in daily planning and optimal scheduling of generating units so as to meet the hourly load demand in an efficient manner. This paper focusses on presenting a robust and effective methodology for solving the UC problem using GAMS simulation environment. In this work, to assess the effectiveness of GAMS over MATLAB environment, 3 and 4 thermal generating units with and without spinning reserves and ramp rate constraints have been considered over 24-hour time horizon.\",\"PeriodicalId\":412668,\"journal\":{\"name\":\"2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICT46931.2019.8977718\",\"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 Issues and Challenges in Intelligent Computing Techniques (ICICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICT46931.2019.8977718","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Solution Approach to Unit Commitment Problem Using GAMS Environment
In day to day life, with an ever-growing demand in power sector, planning and operation plays a vital role in providing an economical, reliable and efficient electricity to the consumers. In this regard, unit commitment (UC) plays a significant part in daily planning and optimal scheduling of generating units so as to meet the hourly load demand in an efficient manner. This paper focusses on presenting a robust and effective methodology for solving the UC problem using GAMS simulation environment. In this work, to assess the effectiveness of GAMS over MATLAB environment, 3 and 4 thermal generating units with and without spinning reserves and ramp rate constraints have been considered over 24-hour time horizon.