{"title":"Smart Operation of a Solar-based MicroGrid using a Novel Developed Model for Participation in Day-ahead Reserve Electricity Market","authors":"P. Farhadi, S. N. M. Tafreshi","doi":"10.1109/SGCF.2019.8782296","DOIUrl":null,"url":null,"abstract":"A new model was developed in this paper for smart operation of a microgrid powered by a non-dispatchable solar unit interacting with a reserve electricity market. Other components of the microgrid are a battery, microturbines, interruptible and uninterruptible loads. A 24-hr schedule was considered for participating in day-ahead reserve electricity market. The objective function was formulated aiming at profit maximization subjected to corresponding constraints. The problem was solved by a well-known particle swarm optimization algorithm and the obtained results verified the effectiveness of the algorithm","PeriodicalId":116136,"journal":{"name":"2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SGCF.2019.8782296","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
A new model was developed in this paper for smart operation of a microgrid powered by a non-dispatchable solar unit interacting with a reserve electricity market. Other components of the microgrid are a battery, microturbines, interruptible and uninterruptible loads. A 24-hr schedule was considered for participating in day-ahead reserve electricity market. The objective function was formulated aiming at profit maximization subjected to corresponding constraints. The problem was solved by a well-known particle swarm optimization algorithm and the obtained results verified the effectiveness of the algorithm