4.7 Article

A novel hybrid GWO-PSO optimization technique for optimal reactive power dispatch problem solution

Journal

AIN SHAMS ENGINEERING JOURNAL
Volume 12, Issue 1, Pages 621-630

Publisher

ELSEVIER
DOI: 10.1016/j.asej.2020.07.011

Keywords

Improvement of load buses voltage; GWO; Minimization of power losses; ORPD; PSO

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This paper introduces a hybrid Grey Wolf Optimization and Particle Swarm Optimization (GWO-PSO) method for solving the optimal reactive power dispatch (ORPD) problem in electric power networks. The combination aims to minimize power losses in transmission systems and voltage deviations at load buses, showing effectiveness in seeking the global best solution.
This paper provides an application of the hybrid Grey Wolf Optimization and Particle Swarm Optimization (GWO-PSO) method to reach a solution to the optimal reactive power dispatch (ORPD) problem in the scope of electric power networks. PSO is a swarm based meta-heuristic optimization algorithm whose target is to seek the best solution to a problem by moving particles in a specific exploration field. On the other hand, GWO is a meta-heuristic optimization technique which is inspired by grey wolves. In this article, GWO is hybridized with a PSO method to improve the progress of the GWO. There are two objectives minimized in this research study to improve the electric power network performance. They are: 1) power losses in the transmission systems, and 2) the deviation of voltages at the load buses. The problem of ORPD has many restrictions on the networks which must be considered during the solution. The hybrid GWO-PSO is proven as an effective optimization technique when seeking the global best solution to an optimization problem. The success of the introduced hybrid technique is verified utilizing more than one standard IEEE test system. A valuation to the introduced technique is performed by comparing it with other optimization techniques stated through the literature. The simulation results confirm that the usage of the hybrid GWO-PSO techniques causes an observable improvement in a wide scale of the electric power networks behavior. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Ain Shams University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-ncnd/4.0/).

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