Mahmoud Essam M. Harby, Helmy Elzoghby, S. Elmasry, A. A. El-Samahy
{"title":"Microgrid Frequency Stability Enhancement Through Controlling Electric Vehicles Batteries Based on Fuzzy Logic Controller","authors":"Mahmoud Essam M. Harby, Helmy Elzoghby, S. Elmasry, A. A. El-Samahy","doi":"10.15866/ireaco.v13i5.19379","DOIUrl":null,"url":null,"abstract":"The large-scale renewable energy contribution tends to expand vastly; this is due to the numerous benefits of the renewable energy from the environmental and economic aspects. From another hand, renewable resources are intermittent and changeable in nature, which would affect the microgrid frequency stability. In this paper, a fully renewable and green microgrid is proposed aiming to zero emission power generation, the microgrid consists of Biogas plant, Biodiesel plant, Photovoltaic system, Wind turbines, Battery Energy Storage System and Electric Vehicles. The main contribution of this paper is providing the frequency stability enhancement of the microgrid through controlling the charging and discharging of the electric vehicles batteries using fuzzy logic controller based on three main factors, the electric vehicle battery state of charge, the microgrid frequency deviation signal and the departure time of the vehicle, which is set in advance by the owner. The enhancement of the frequency is performed without using extra storage system. This work is providing two main scenarios for the frequency stability enhancement, the first one is through controlling only the charging of the electric vehicles batteries and the second one is done through controlling the charging and discharging of the electric vehicles batteries as going to be presented a head.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"13 1","pages":"214"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Automatic Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15866/ireaco.v13i5.19379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 1
Abstract
The large-scale renewable energy contribution tends to expand vastly; this is due to the numerous benefits of the renewable energy from the environmental and economic aspects. From another hand, renewable resources are intermittent and changeable in nature, which would affect the microgrid frequency stability. In this paper, a fully renewable and green microgrid is proposed aiming to zero emission power generation, the microgrid consists of Biogas plant, Biodiesel plant, Photovoltaic system, Wind turbines, Battery Energy Storage System and Electric Vehicles. The main contribution of this paper is providing the frequency stability enhancement of the microgrid through controlling the charging and discharging of the electric vehicles batteries using fuzzy logic controller based on three main factors, the electric vehicle battery state of charge, the microgrid frequency deviation signal and the departure time of the vehicle, which is set in advance by the owner. The enhancement of the frequency is performed without using extra storage system. This work is providing two main scenarios for the frequency stability enhancement, the first one is through controlling only the charging of the electric vehicles batteries and the second one is done through controlling the charging and discharging of the electric vehicles batteries as going to be presented a head.