TY - GEN
T1 - Modified Grey Wolf Optimization Algorithm for Directional Overcurrent Relays Coordination in Distribution Network with Distributed Generations
AU - Putra, R. Reski Eka
AU - Pujiantara, Margo
AU - Lystianingrum, Vita
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Directional overcurrent relays (DOCRs) must be as optimal coordination as feasible for electrical system networks to offer reliable and effective protection. This challenge has become more complex recently due to the growing utilization of distributed generation (DG). In this study, a modified variant of grey wolf optimization (MGWO) is proposed as an approach to the DOCRs coordination problem in the existence of DG. Reducing the operating time of all primary relays is considered, where the operating time depends on the time dial and pickup current setting. The MGWO resolved the issue of sluggish convergence and the potential risk of getting stuck in locally optimal solutions. The effectiveness of the proposed MGWO is evaluated using a 7-bus radial distribution network system in two case studies and validated using ETAP software. The results confirmed that the proposed MGWO improved the objective function of the DOCRs coordination problem in all cases and showed that the total operating time of the primary relays was reduced from 1.07% up to 10.18% compared to the original GWO.
AB - Directional overcurrent relays (DOCRs) must be as optimal coordination as feasible for electrical system networks to offer reliable and effective protection. This challenge has become more complex recently due to the growing utilization of distributed generation (DG). In this study, a modified variant of grey wolf optimization (MGWO) is proposed as an approach to the DOCRs coordination problem in the existence of DG. Reducing the operating time of all primary relays is considered, where the operating time depends on the time dial and pickup current setting. The MGWO resolved the issue of sluggish convergence and the potential risk of getting stuck in locally optimal solutions. The effectiveness of the proposed MGWO is evaluated using a 7-bus radial distribution network system in two case studies and validated using ETAP software. The results confirmed that the proposed MGWO improved the objective function of the DOCRs coordination problem in all cases and showed that the total operating time of the primary relays was reduced from 1.07% up to 10.18% compared to the original GWO.
KW - Directional overcurrent relay
KW - distributed generation
KW - modified grey wolf optimization
KW - optimal coordination
UR - http://www.scopus.com/inward/record.url?scp=85171170899&partnerID=8YFLogxK
U2 - 10.1109/ISITIA59021.2023.10221072
DO - 10.1109/ISITIA59021.2023.10221072
M3 - Conference contribution
AN - SCOPUS:85171170899
T3 - 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding
SP - 792
EP - 797
BT - 2023 International Seminar on Intelligent Technology and Its Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023
Y2 - 26 July 2023 through 27 July 2023
ER -
