{"title":"Fuzzy Based MPPT and Energy Management Strategy","authors":"Abhishek Roshan, P. Dwivedi, Himesh Kumar","doi":"10.1109/ICSGRC.2019.8837080","DOIUrl":null,"url":null,"abstract":"The paper presents a smart way for management of the energy which is obtained from the PV source and the storage devices by applying an algorithm which is proposed here. An algorithm for charge controlling of the battery is also proposed. It’s understood that management of the energy resources which are being connected to the DC bus is such a crucial requirement. Hence, the aim is to optimize the utilization of each source at its maximum power generating capability while taking care of environmental needs and cost minimization. On these lines, a methodology has been developed that uses fuzzy logic to track maximum power point and the whole system has been simulated for a simplified model having a battery and fuel cell as a backup. An algorithm is proposed for switching of the fuel cell and battery storage for varying load and varying PV array generation. Results for the same is analyzed and presented here.","PeriodicalId":331521,"journal":{"name":"2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSGRC.2019.8837080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The paper presents a smart way for management of the energy which is obtained from the PV source and the storage devices by applying an algorithm which is proposed here. An algorithm for charge controlling of the battery is also proposed. It’s understood that management of the energy resources which are being connected to the DC bus is such a crucial requirement. Hence, the aim is to optimize the utilization of each source at its maximum power generating capability while taking care of environmental needs and cost minimization. On these lines, a methodology has been developed that uses fuzzy logic to track maximum power point and the whole system has been simulated for a simplified model having a battery and fuel cell as a backup. An algorithm is proposed for switching of the fuel cell and battery storage for varying load and varying PV array generation. Results for the same is analyzed and presented here.