An Improved Optimal Solution for the Directional Overcurrent Relays Coordination Using Hybridized Whale Optimization Algorithm in Complex Power Systems
The directional overcurrent relays (DOCRs) coordination is a useful tool in guaranteeing the safe protection of the power system by the proper coordination of primary and backup protection systems. The optimization model of this problem is non-linear and highly constrained. The main objective of thi...
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doaj-aa1a1a2adc1d4f0bad52016c4fc7a5242021-03-30T00:14:15ZengIEEEIEEE Access2169-35362019-01-017904189043510.1109/ACCESS.2019.29258228751960An Improved Optimal Solution for the Directional Overcurrent Relays Coordination Using Hybridized Whale Optimization Algorithm in Complex Power SystemsTahir Khurshaid0https://orcid.org/0000-0001-6113-123XAbdul Wadood1https://orcid.org/0000-0002-4362-6033Saeid Gholami Farkoush2https://orcid.org/0000-0001-7602-877XJiangtao Yu3https://orcid.org/0000-0003-3658-1807Chang-Hwan Kim4Sang-Bong Rhee5Department of Electrical Engineering, Yeungnam University, Gyeongsan, South KoreaDepartment of Electrical Engineering, Yeungnam University, Gyeongsan, South KoreaDepartment of Electrical Engineering, Yeungnam University, Gyeongsan, South KoreaDepartment of Electrical Engineering, Yeungnam University, Gyeongsan, South KoreaDepartment of Electrical Engineering, Yeungnam University, Gyeongsan, South KoreaDepartment of Electrical Engineering, Yeungnam University, Gyeongsan, South KoreaThe directional overcurrent relays (DOCRs) coordination is a useful tool in guaranteeing the safe protection of the power system by the proper coordination of primary and backup protection systems. The optimization model of this problem is non-linear and highly constrained. The main objective of this paper is to develop a hybridized version of the Whale optimization algorithm referred to as HWOA for the optimal coordination of the DOCRs. The hybridization is done by deploying the simulated annealing (SA) in the WOA algorithm in order to improve the best solution found after each iteration and enhance the exploitation by searching the most promising regions located by the WOA algorithm, which leads toward a globally optimum solution. The proposed algorithm has been applied to five test systems, including the IEEE 3-bus, 8-bus, 9-bus, 15-bus, and 30-bus test systems. Furthermore, the results obtained using the proposed HWOA are compared with those obtained using the traditional WOA and a number of up-to-date algorithms. The obtained results show the effectiveness of the proposed HWOA in minimizing the relay operating time for the optimal coordination of the DOCRs.https://ieeexplore.ieee.org/document/8751960/Hybrid WOAWOASAdirectional overcurrent relay (DOCR)plug setting (PS)time dial setting (TDS) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tahir Khurshaid Abdul Wadood Saeid Gholami Farkoush Jiangtao Yu Chang-Hwan Kim Sang-Bong Rhee |
spellingShingle |
Tahir Khurshaid Abdul Wadood Saeid Gholami Farkoush Jiangtao Yu Chang-Hwan Kim Sang-Bong Rhee An Improved Optimal Solution for the Directional Overcurrent Relays Coordination Using Hybridized Whale Optimization Algorithm in Complex Power Systems IEEE Access Hybrid WOA WOA SA directional overcurrent relay (DOCR) plug setting (PS) time dial setting (TDS) |
author_facet |
Tahir Khurshaid Abdul Wadood Saeid Gholami Farkoush Jiangtao Yu Chang-Hwan Kim Sang-Bong Rhee |
author_sort |
Tahir Khurshaid |
title |
An Improved Optimal Solution for the Directional Overcurrent Relays Coordination Using Hybridized Whale Optimization Algorithm in Complex Power Systems |
title_short |
An Improved Optimal Solution for the Directional Overcurrent Relays Coordination Using Hybridized Whale Optimization Algorithm in Complex Power Systems |
title_full |
An Improved Optimal Solution for the Directional Overcurrent Relays Coordination Using Hybridized Whale Optimization Algorithm in Complex Power Systems |
title_fullStr |
An Improved Optimal Solution for the Directional Overcurrent Relays Coordination Using Hybridized Whale Optimization Algorithm in Complex Power Systems |
title_full_unstemmed |
An Improved Optimal Solution for the Directional Overcurrent Relays Coordination Using Hybridized Whale Optimization Algorithm in Complex Power Systems |
title_sort |
improved optimal solution for the directional overcurrent relays coordination using hybridized whale optimization algorithm in complex power systems |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
The directional overcurrent relays (DOCRs) coordination is a useful tool in guaranteeing the safe protection of the power system by the proper coordination of primary and backup protection systems. The optimization model of this problem is non-linear and highly constrained. The main objective of this paper is to develop a hybridized version of the Whale optimization algorithm referred to as HWOA for the optimal coordination of the DOCRs. The hybridization is done by deploying the simulated annealing (SA) in the WOA algorithm in order to improve the best solution found after each iteration and enhance the exploitation by searching the most promising regions located by the WOA algorithm, which leads toward a globally optimum solution. The proposed algorithm has been applied to five test systems, including the IEEE 3-bus, 8-bus, 9-bus, 15-bus, and 30-bus test systems. Furthermore, the results obtained using the proposed HWOA are compared with those obtained using the traditional WOA and a number of up-to-date algorithms. The obtained results show the effectiveness of the proposed HWOA in minimizing the relay operating time for the optimal coordination of the DOCRs. |
topic |
Hybrid WOA WOA SA directional overcurrent relay (DOCR) plug setting (PS) time dial setting (TDS) |
url |
https://ieeexplore.ieee.org/document/8751960/ |
work_keys_str_mv |
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