Genetic algorithm based optimization of overcurrent relay coordination for improved protection of DFIG operated wind farms
Asynchronous generators; Electric relays; Electric utilities; Genetic algorithms; IEEE Standards; Overcurrent protection; Wind power; Intelligent Algorithms; Nonlinear characteristics; Novel genetic algorithm; Overcurrent relay coordination; Overcurrent relays; Power system protection; Relay coordin...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.uniten.dspace-23540 |
|---|---|
| record_format |
dspace |
| spelling |
my.uniten.dspace-235402023-05-29T14:50:09Z Genetic algorithm based optimization of overcurrent relay coordination for improved protection of DFIG operated wind farms Rezaei N. Nasir Uddin M. Khairul Amin I. Lutfi Othman M. Marsadek M. 57216077273 55663372800 10040907100 55153333400 26423183000 Asynchronous generators; Electric relays; Electric utilities; Genetic algorithms; IEEE Standards; Overcurrent protection; Wind power; Intelligent Algorithms; Nonlinear characteristics; Novel genetic algorithm; Overcurrent relay coordination; Overcurrent relays; Power system protection; Relay coordination; Wind farm; Electric power system protection Rigorous protection of wind power plants is an immensely momentous aspect in electrical power protection engineering which must be contemplated thoroughly during designing the wind plants to afford a proper protection for power components in case of fault occurrence. The most commodious protection apparatus are overcurrent relays (OCRs) which are responsible for protecting power systems from impending faults. These relays are set and coordinated with each other by applying IEEE or IEC standards methods, however, their operation times are relatively long and the coordination between these relays are critical. The other common problem in wind farm protection systems is when a fault occurs in a plant, several OCRs operate instead of a designated relay to that particular fault location. This undesirable action can result in unnecessary power loss and disconnection of healthy feeders out of the plant which is extremely dire. Therefore, this research proposes a novel genetic algorithm (GA) based optimization for proper coordination of OCRs to improve their functions for protection of wind farms. GA optimization technique has some advantages over other intelligent algorithms including high accuracy, fast response and most importantly achieving optimal solutions for nonlinear characteristics of OCRs. In this work 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. It is found that the new approach achieves significant improvement in operation of OCRs at the wind farm and drastically reduces the accumulative operation time of the relays. � 2018 IEEE Final 2023-05-29T06:50:09Z 2023-05-29T06:50:09Z 2018 Conference Paper 10.1109/IAS.2018.8544534 2-s2.0-85059948055 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059948055&doi=10.1109%2fIAS.2018.8544534&partnerID=40&md5=9685140b828e84e06a92d79099a48df0 https://irepository.uniten.edu.my/handle/123456789/23540 8544534 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 relays; Electric utilities; Genetic algorithms; IEEE Standards; Overcurrent protection; Wind power; Intelligent Algorithms; Nonlinear characteristics; Novel genetic algorithm; Overcurrent relay coordination; Overcurrent relays; Power system protection; Relay coordination; Wind farm; Electric power system protection |
| author2 |
57216077273 |
| author_facet |
57216077273 Rezaei N. Nasir Uddin M. Khairul Amin I. Lutfi Othman M. Marsadek M. |
| format |
Conference Paper |
| author |
Rezaei N. Nasir Uddin M. Khairul Amin I. Lutfi Othman M. Marsadek M. |
| spellingShingle |
Rezaei N. Nasir Uddin M. Khairul Amin I. Lutfi Othman M. 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_ |
1806427764541095936 |
| score |
13.211869 |