{"title":"Optimal placement of TCSC in transmission network using sensitivity based method for multi-objective optimization","authors":"N. A. Bakar, M. Desa","doi":"10.1109/CENCON.2017.8262484","DOIUrl":null,"url":null,"abstract":"Power system instability is a serious concern in the power industry. Even a temporary blackout and power outage can lead to the relative chaos, monetary setbacks and possible loss of life. In the electricity network, the power generation must be very close to equal every second as possible to the electrical load demand. Else, it will create overloading and congestion in network components which may cause severe damage technically as well as economically. It is crucial to have a power system network with high efficiency, maximum reliability and security in its design and operation. One of the recent electronics development is the introduction of Flexible AC Transmission System (FACTS) controllers in power system. This controller demonstrates its ability to control the power network in very efficient manner. Hence the features can be exploited to enhance the power system stability. This paper aims to study the effect of Thyristor Controlled Series Capacitor (TCSC) to mitigate the weakness of the transmission line by locating TCSC at the most sensitive line thru reactive power loss sensitivity indices approach. Multi-objective optimization which are mitigation of the line contingencies, total reactive power loss reduction and transmission line loadability on the tested modified IEEE small 5 bus network and large 14 bus network are presented. Apart from that, the effect of degree of compensation of TCSC was also covered. The investigation was carried out using MATLAB/MATPOWER 5.0 and Power World Simulator GSO 18. This study concludes that the proposed approach is efficient for solving line contingencies, power loss reduction and line loadability in transmission network.","PeriodicalId":275077,"journal":{"name":"2017 IEEE Conference on Energy Conversion (CENCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Conference on Energy Conversion (CENCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CENCON.2017.8262484","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
Power system instability is a serious concern in the power industry. Even a temporary blackout and power outage can lead to the relative chaos, monetary setbacks and possible loss of life. In the electricity network, the power generation must be very close to equal every second as possible to the electrical load demand. Else, it will create overloading and congestion in network components which may cause severe damage technically as well as economically. It is crucial to have a power system network with high efficiency, maximum reliability and security in its design and operation. One of the recent electronics development is the introduction of Flexible AC Transmission System (FACTS) controllers in power system. This controller demonstrates its ability to control the power network in very efficient manner. Hence the features can be exploited to enhance the power system stability. This paper aims to study the effect of Thyristor Controlled Series Capacitor (TCSC) to mitigate the weakness of the transmission line by locating TCSC at the most sensitive line thru reactive power loss sensitivity indices approach. Multi-objective optimization which are mitigation of the line contingencies, total reactive power loss reduction and transmission line loadability on the tested modified IEEE small 5 bus network and large 14 bus network are presented. Apart from that, the effect of degree of compensation of TCSC was also covered. The investigation was carried out using MATLAB/MATPOWER 5.0 and Power World Simulator GSO 18. This study concludes that the proposed approach is efficient for solving line contingencies, power loss reduction and line loadability in transmission network.