Genetic Algorithm-Based Optimization of Overcurrent Relay Coordination for Improved Protection of DFIG Operated Wind Farms

Asynchronous generators; Electric power system interconnection; Electric relays; Electric utilities; Genetic algorithms; Nonlinear programming; Overcurrent protection; Wind power; Conventional protections; Nonlinear characteristics; Nonlinear optimization methods; Overcurrent relay coordination; Ove...

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Main Authors: Rezaei N., Uddin M.N., Amin I.K., Othman M.L., Marsadek M.
Other Authors: 57216077273
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-243312023-05-29T15:22:49Z Genetic Algorithm-Based Optimization of Overcurrent Relay Coordination for Improved Protection of DFIG Operated Wind Farms Rezaei N. Uddin M.N. Amin I.K. Othman M.L. Marsadek M. 57216077273 55663372800 10040907100 55153333400 26423183000 Asynchronous generators; Electric power system interconnection; Electric relays; Electric utilities; Genetic algorithms; Nonlinear programming; Overcurrent protection; Wind power; Conventional protections; Nonlinear characteristics; Nonlinear optimization methods; Overcurrent relay coordination; Overcurrent relays; Power system protection; Relay coordination; Wind farm; Electric power system protection Rigorous protection of wind power plants is a critical aspect of the electrical power protection engineering. A proper protection scheme must be planned thoroughly while designing the wind plants to provide safeguarding for the power components in case of fault occurrence. One of the conventional protection apparatus is overcurrent relay (OCR), which is responsible for protecting power systems from impending faults. However, the operation time of OCRs is relatively long and accurate coordination between these relays is convoluted. Moreover, when a fault occurs in wind farm-based power system, several OCRs operate instead of a designated relay to that particular fault location, which could result in unnecessary power loss and disconnection of healthy feeders out of the plant. Therefore, this article proposes a novel genetic algorithm (GA)-based optimization technique for proper coordination of the OCRs in order to provide improved protection of the wind farms. The GA optimization technique has several advantages over other intelligent algorithms, such as high accuracy, fast response, and most importantly, it is capable of achieving optimal solutions considering nonlinear characteristics of OCRs. In this article, the improvement in protection of wind farm is achieved through optimizing the relay settings, reducing their operation time, time setting multiplier of each relay, improving the coordination between relays after implementation of IEC 60255-151:2009 standard. The developed algorithm is tested in simulation for a wind farm model under various fault conditions at random buses and the results are compared with the conventional nonlinear optimization method. It is found that the new approach achieves significant improvement in the operation of OCRs for the wind farm and drastically reduces the accumulative operation time of the relays. � 1972-2012 IEEE. Final 2023-05-29T07:22:49Z 2023-05-29T07:22:49Z 2019 Conference Paper 10.1109/TIA.2019.2939244 2-s2.0-85075485378 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075485378&doi=10.1109%2fTIA.2019.2939244&partnerID=40&md5=50016d3d4917f7b62da08fcaf46d0127 https://irepository.uniten.edu.my/handle/123456789/24331 55 6 8823020 5727 5736 All Open Access, Green Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Asynchronous generators; Electric power system interconnection; Electric relays; Electric utilities; Genetic algorithms; Nonlinear programming; Overcurrent protection; Wind power; Conventional protections; Nonlinear characteristics; Nonlinear optimization methods; Overcurrent relay coordination; Overcurrent relays; Power system protection; Relay coordination; Wind farm; Electric power system protection
author2 57216077273
author_facet 57216077273
Rezaei N.
Uddin M.N.
Amin I.K.
Othman M.L.
Marsadek M.
format Conference Paper
author Rezaei N.
Uddin M.N.
Amin I.K.
Othman M.L.
Marsadek M.
spellingShingle Rezaei N.
Uddin M.N.
Amin I.K.
Othman M.L.
Marsadek M.
Genetic Algorithm-Based Optimization of Overcurrent Relay Coordination for Improved Protection of DFIG Operated Wind Farms
author_sort Rezaei N.
title Genetic Algorithm-Based Optimization of Overcurrent Relay Coordination for Improved Protection of DFIG Operated Wind Farms
title_short Genetic Algorithm-Based Optimization of Overcurrent Relay Coordination for Improved Protection of DFIG Operated Wind Farms
title_full Genetic Algorithm-Based Optimization of Overcurrent Relay Coordination for Improved Protection of DFIG Operated Wind Farms
title_fullStr Genetic Algorithm-Based Optimization of Overcurrent Relay Coordination for Improved Protection of DFIG Operated Wind Farms
title_full_unstemmed Genetic Algorithm-Based Optimization of Overcurrent Relay Coordination for Improved Protection of DFIG Operated Wind Farms
title_sort genetic algorithm-based optimization of overcurrent relay coordination for improved protection of dfig operated wind farms
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806428127514066944
score 13.214268