{"title":"Optimal Control and Voltage Regulation of A Hydrogen Fuel-Cell","authors":"Konark Patra, Debendu Puhan, Siddhanta Pani, Samikshya Mishra","doi":"10.1109/ICICCSP53532.2022.9862407","DOIUrl":null,"url":null,"abstract":"In the recent era the carbon emission is increasing rapidly which leads to the strange change in the climate in our universe with the use of non-ecofriendly energies. To reduce the emission and pollution the clean renewable energy sources (RES) are now being employed worldwide. Confining the ability of the renewable energy sources to discover substitute for generation of energy by the technique which mitigate carbon emission as well as the pollution and provide a clean energy that yield better performance and maximum efficiency. As hydrogen fuel-cell technology is clean and ecofriendly energy source and also can meet the energy requirement. In this paper, the voltage regulation of the hydrogen fuel-cell is taken into consideration. The intention of the assignment is to control the output voltage by using integral time absolute error (ITAE) and execution of intelligent optimization technique that is genetic algorithm (GA) is employed to minimize the objective function to get an improved gain value for the controller used in the model.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICCSP53532.2022.9862407","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the recent era the carbon emission is increasing rapidly which leads to the strange change in the climate in our universe with the use of non-ecofriendly energies. To reduce the emission and pollution the clean renewable energy sources (RES) are now being employed worldwide. Confining the ability of the renewable energy sources to discover substitute for generation of energy by the technique which mitigate carbon emission as well as the pollution and provide a clean energy that yield better performance and maximum efficiency. As hydrogen fuel-cell technology is clean and ecofriendly energy source and also can meet the energy requirement. In this paper, the voltage regulation of the hydrogen fuel-cell is taken into consideration. The intention of the assignment is to control the output voltage by using integral time absolute error (ITAE) and execution of intelligent optimization technique that is genetic algorithm (GA) is employed to minimize the objective function to get an improved gain value for the controller used in the model.