@inproceedings{a976299cd3b14fb1aa064ad30fd17ed5,
title = "Optimizing Over-Current Relay Coordination: The Role of Entropy Evolution in Gravitational Search Strategy",
abstract = "Power protection schemes are essential to ensure the reliability of power system grids. This research focuses on improving coordination between two protection zones in power systems to enhance the system performance. Traditional optimization methods, such as Particle Swarm OptimizationGravitational Search Algorithm (PSO-GSA) and Fractional Particle Swarm Optimization-Gravitational Search Algorithm (F-PSO-GSA), face challenges like slow convergence and sensitivity to tuning parameters. To overcome these issues, this study introduces a hybrid PSO-GSA with Entropy Evolution (PSO-GSA-EE) algorithm. The proposed method is tested on two different IEEE test systems, that confirms improved optimization efficiency, faster convergence, and minimizing operating time upto 12\%, compared to the state-of-the-art techniques in literature.",
keywords = "Backup/Primary Relays, Directional Overcurrent Relays (DOCRs), Entropy Evolution, Hybrid PSO-GSAEE",
author = "Mubashar Javed and Laiq Khan and Yasir Muhammad and Amin Mahmoudi and Solmaz Kahourzade and Ahsan Zafar",
year = "2025",
month = jul,
day = "10",
doi = "10.1109/PEDG62294.2025.11060368",
language = "English",
series = "PEDG 2025 - 2025 IEEE 16th International Symposium on Power Electronics for Distributed Generation Systems",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "1266--1271",
booktitle = "PEDG 2025 - 2025 IEEE 16th International Symposium on Power Electronics for Distributed Generation Systems",
address = "United States",
note = "16th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2025 ; Conference date: 28-03-2025",
}