{"title":"Peak Load Management with Wheeling in a Gas Turbine Station under Availability Based Tariff","authors":"Shubhranshu Kumar Tiwary","doi":"10.1109/SeFet48154.2021.9375649","DOIUrl":null,"url":null,"abstract":"The more energy we save, the less energy we would need to produce. Engineers nowadays are employing more innovative practices to increase energy efficiency. As per the International Statistical Institute, with the Gross National Income of 2020$ per capita, in the year 2018, India is still a developing country. And for the rapidly developing nations with a large population, like China and India, effective utilization of pre-existing resources is of utmost importance. The industrial sector as well the irrigation and farming populace, which are the highest consumers of electricity, need to optimize their energy consumption with adept implementation of methods such as power wheeling and cogeneration. In this paper, a case-study of a Gas Turbine Station at Damodar Valley Corporation, Maithon was undertaken with stress on wheeling of power. Cogeneration has also been studied together with the plan of Availability Based Tariff (ABT) to improve grid regulations and increase the power injected in to the grid. The issue has been simulated with the help of Genetic Algorithm Optimization Toolbox (GAOT) toolbox of MATLAB-R2016a.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SeFet48154.2021.9375649","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The more energy we save, the less energy we would need to produce. Engineers nowadays are employing more innovative practices to increase energy efficiency. As per the International Statistical Institute, with the Gross National Income of 2020$ per capita, in the year 2018, India is still a developing country. And for the rapidly developing nations with a large population, like China and India, effective utilization of pre-existing resources is of utmost importance. The industrial sector as well the irrigation and farming populace, which are the highest consumers of electricity, need to optimize their energy consumption with adept implementation of methods such as power wheeling and cogeneration. In this paper, a case-study of a Gas Turbine Station at Damodar Valley Corporation, Maithon was undertaken with stress on wheeling of power. Cogeneration has also been studied together with the plan of Availability Based Tariff (ABT) to improve grid regulations and increase the power injected in to the grid. The issue has been simulated with the help of Genetic Algorithm Optimization Toolbox (GAOT) toolbox of MATLAB-R2016a.