G. Satish, C. Dalai, V. S. Dattu, K. Rayudu, T. Sathish, K. Purohit
{"title":"Optimization Model for Energy Management in a Microgrid","authors":"G. Satish, C. Dalai, V. S. Dattu, K. Rayudu, T. Sathish, K. Purohit","doi":"10.1109/ICAAIC56838.2023.10141240","DOIUrl":null,"url":null,"abstract":"This article presents an optimization model for energy management (EM) in a microgrid composed of renewable energy sources. The microgrid in question, corresponding to an electric vehicle (EVs) charging station, has solar panels, wind turbines, and a bank of batteries. The loads considered are EVs that enter the charging station requesting the charging of their batteries and equipment from a small convenience store, located in the charging station itself. This work maximize the supply of active power to EVs and, simultaneously, minimize the interruptions in the energy supply. An algorithm (with the aid of computational tools) will be used to deal with the decision-making process related to turbines, panels and loads. The implementations were made in MATLAB, for modeling the energy sources, and AMPL, for applying the optimization algorithm.","PeriodicalId":267906,"journal":{"name":"2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAAIC56838.2023.10141240","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
This article presents an optimization model for energy management (EM) in a microgrid composed of renewable energy sources. The microgrid in question, corresponding to an electric vehicle (EVs) charging station, has solar panels, wind turbines, and a bank of batteries. The loads considered are EVs that enter the charging station requesting the charging of their batteries and equipment from a small convenience store, located in the charging station itself. This work maximize the supply of active power to EVs and, simultaneously, minimize the interruptions in the energy supply. An algorithm (with the aid of computational tools) will be used to deal with the decision-making process related to turbines, panels and loads. The implementations were made in MATLAB, for modeling the energy sources, and AMPL, for applying the optimization algorithm.