Solution of Optimal Reactive Power Dispatch Problem Using a Novel Meta-heuristic Technique
DOI:
https://doi.org/10.37591/.v7i3.52Abstract
This paper presents the use of a recently developed algorithm inspired by the hunting mechanism of grey wolfs in nature, called grey wolf optimizer (GWO) algorithm for solving optimal reactive power dispatch (ORPD) problem. The ORPD is formulated as a complex optimization problem with nonlinear characteristic. The GWO is used to find the set of optimal control variables of ORPD problem, such as generators’ terminal voltage, position of tap changers of transformers, and number of switchable capacitor banks. The performance and feasibility of the proposed algorithm are demonstrated for two different objective functions, transmission active power loss minimization and minimization of L index through IEEE 30-bus system. Comparison of obtained results with those reported in the literature shows clearly the superiority of GWO algorithm over other recently published algorithms, hence confirmation of the efficiency of GWO algorithm in providing optimal solution.
Keywords: Optimal reactive power dispatch, grey wolf optimization, L-index, transmission loss minimization
Cite this Article
Zenifar Parekh, Bhavik Suthar. Solution of Optimal Reactive Power Dispatch Problem Using a Novel Meta-heuristic Technique. Trends in Electrical Engineering. 2017; 7(3): 8–16p.
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