Rafael S. Salles, G. C. S. Almeida, B. I. Lima Fuly, A. D. De Souza, P. Ribeiro
{"title":"Fuzzy Logic-Based Controller for BESS and Load Management in a Microgrid Economic Operation","authors":"Rafael S. Salles, G. C. S. Almeida, B. I. Lima Fuly, A. D. De Souza, P. Ribeiro","doi":"10.1109/TDLA47668.2020.9326102","DOIUrl":null,"url":null,"abstract":"Battery energy storage systems (BESS) play an essential role in effectively managing the power of a microgrid, maintaining a balance between fluctuating power generated from the distributed energy resources and load demand. By using this system in the time-of-use rate context, it can achieve excellent savings. This paper proposes a fuzzy logic-based algorithm developed for the Battery and Load Management System to support the operation of a microgrid with photovoltaic (PV) farm generation. Also, a comparison of financial cost savings is discussed. The software MATLAB/Simulink® was used to develop and simulate the different scenarios. Results demonstrate that the use of fuzzy logic improved the system since it was able to manage the loads and allow a lower-cost operation properly.","PeriodicalId":448644,"journal":{"name":"2020 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D LA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D LA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TDLA47668.2020.9326102","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
Battery energy storage systems (BESS) play an essential role in effectively managing the power of a microgrid, maintaining a balance between fluctuating power generated from the distributed energy resources and load demand. By using this system in the time-of-use rate context, it can achieve excellent savings. This paper proposes a fuzzy logic-based algorithm developed for the Battery and Load Management System to support the operation of a microgrid with photovoltaic (PV) farm generation. Also, a comparison of financial cost savings is discussed. The software MATLAB/Simulink® was used to develop and simulate the different scenarios. Results demonstrate that the use of fuzzy logic improved the system since it was able to manage the loads and allow a lower-cost operation properly.