{"title":"Artificial intelligence based electric grid operation enabled with data encryption","authors":"Akshya Kumar Sahoo, Sudipta Rudra, A. Mohanty","doi":"10.1109/ICEEOT.2016.7755171","DOIUrl":null,"url":null,"abstract":"This article explores the current trend of artificial intelligence in today's application in electrical-engineering. Intelligent agents using various intelligent algorithms can enhance the performance rate of a digital electric grid system. This paper presents the development of state-of-art technology of electric grid control systems using multi-agent systems. This system is implemented using various microcontrollers and iec61580 communication protocol for communication in automated electric grid system and Cloud communication technology for wireless communication applied for efficient data communication for multi agent systems. The control mechanism model of the gridstation is designed in the lab view simulator. Multi-agent systems are controlled using a Fuzzy logic controller implemented with self-learning parameter and algorithm which reduces the work load of ied's and eliminates the use of analog electronic control system.","PeriodicalId":383674,"journal":{"name":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEOT.2016.7755171","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
This article explores the current trend of artificial intelligence in today's application in electrical-engineering. Intelligent agents using various intelligent algorithms can enhance the performance rate of a digital electric grid system. This paper presents the development of state-of-art technology of electric grid control systems using multi-agent systems. This system is implemented using various microcontrollers and iec61580 communication protocol for communication in automated electric grid system and Cloud communication technology for wireless communication applied for efficient data communication for multi agent systems. The control mechanism model of the gridstation is designed in the lab view simulator. Multi-agent systems are controlled using a Fuzzy logic controller implemented with self-learning parameter and algorithm which reduces the work load of ied's and eliminates the use of analog electronic control system.