Power factor improvement of distribution system with EV chargers based on SMC method for SVC

© The Korean Institute of Electrical Engineers. Utilization of Electric Vehicles (EVs) have been growing popularity in recent years due to increment in fuel price and lack of natural resources. Random unexpected charging by home EV charger in distribution is predicted in the future. The power qualit...

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Main Authors: Saeid Gholami Farkoush, Chang Hwan Kim, Ho Chul Jung, Sanghyuk Lee, Nipon Theera-Umpon, Sang Bong Rhee
格式: 雜誌
出版: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/57372
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機構: Chiang Mai University
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spelling th-cmuir.6653943832-573722018-09-05T03:39:40Z Power factor improvement of distribution system with EV chargers based on SMC method for SVC Saeid Gholami Farkoush Chang Hwan Kim Ho Chul Jung Sanghyuk Lee Nipon Theera-Umpon Sang Bong Rhee Engineering © The Korean Institute of Electrical Engineers. Utilization of Electric Vehicles (EVs) have been growing popularity in recent years due to increment in fuel price and lack of natural resources. Random unexpected charging by home EV charger in distribution is predicted in the future. The power quality problems such as fluctuation of power factor in a residential distribution network was explored with random EV chargers. This paper proposes a high-performance nonlinear sliding mode controller (SMC) for an EV charging system to compensate voltage distortions and to enhance the power factor against the unbalanced EV chargers. For the verification of the proposed scheme, MATLAB-Simulink simulations are performed on 22.9-kV grid. The results show that the proposed scheme can improve the power factor of a smart grid due to the EV chargers on the grid. 2018-09-05T03:39:40Z 2018-09-05T03:39:40Z 2017-01-01 Journal 20937423 19750102 2-s2.0-85020886563 10.5370/JEET.2017.12.4.1340 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85020886563&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57372
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Engineering
spellingShingle Engineering
Saeid Gholami Farkoush
Chang Hwan Kim
Ho Chul Jung
Sanghyuk Lee
Nipon Theera-Umpon
Sang Bong Rhee
Power factor improvement of distribution system with EV chargers based on SMC method for SVC
description © The Korean Institute of Electrical Engineers. Utilization of Electric Vehicles (EVs) have been growing popularity in recent years due to increment in fuel price and lack of natural resources. Random unexpected charging by home EV charger in distribution is predicted in the future. The power quality problems such as fluctuation of power factor in a residential distribution network was explored with random EV chargers. This paper proposes a high-performance nonlinear sliding mode controller (SMC) for an EV charging system to compensate voltage distortions and to enhance the power factor against the unbalanced EV chargers. For the verification of the proposed scheme, MATLAB-Simulink simulations are performed on 22.9-kV grid. The results show that the proposed scheme can improve the power factor of a smart grid due to the EV chargers on the grid.
format Journal
author Saeid Gholami Farkoush
Chang Hwan Kim
Ho Chul Jung
Sanghyuk Lee
Nipon Theera-Umpon
Sang Bong Rhee
author_facet Saeid Gholami Farkoush
Chang Hwan Kim
Ho Chul Jung
Sanghyuk Lee
Nipon Theera-Umpon
Sang Bong Rhee
author_sort Saeid Gholami Farkoush
title Power factor improvement of distribution system with EV chargers based on SMC method for SVC
title_short Power factor improvement of distribution system with EV chargers based on SMC method for SVC
title_full Power factor improvement of distribution system with EV chargers based on SMC method for SVC
title_fullStr Power factor improvement of distribution system with EV chargers based on SMC method for SVC
title_full_unstemmed Power factor improvement of distribution system with EV chargers based on SMC method for SVC
title_sort power factor improvement of distribution system with ev chargers based on smc method for svc
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85020886563&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/57372
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