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Using the gray wolf optimizer for solving optimal reactive power dispatch problem
Affiliation:1. Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang (UMP), 26600 Pekan, Pahang, Malaysia;2. Faculty of Computer Systems & Software Engineering, Universiti Malaysia Pahang (UMP), 26300 Gambang, Pahang, Malaysia;1. Department of Electronics and Communication Engineering, Karunya University, Coimbatore 641114, India;2. Department of Nuclear Medicine and PET CT, Kovai Medical Center and Hospital, Coimbatore 641014, India;3. Department of Radio -Diagnosis, Mount Zion Medical College Hospital, Kerala 691556, India;1. Department of Electronics and Electrical Engineering, Shiraz University of Technology, Shiraz, Iran;2. Islamic Azad University, Kazerun Branch, Kazerun, Iran;1. Department of Electronics and Electrical Engineering, Shiraz University of Technology, Shiraz, Iran;2. Islamic Azad University, Kazerun Branch, Kazerun, Iran;3. Department of Electrical Engineering, Semnan University, Semnan, Iran;1. Young Researcher and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran;2. Technical Engineering Department, University of Mohaghegh Ardabili, Ardabil, Iran;3. Department of Electrical Engineering, Bilesavar Branch, Islamic Azad University, Bilesavar, Iran;1. QUERE laboratory, Department of Electrical Engineering, Ferhat Abbas University of Setif 1, Setif 19000, Algeria;2. LAMIH, UMR CNRS 8201, University of Valenciennes and Hainaut-Cambrésis, UVHC, Le Mont Houy, 59313 Valenciennes Cedex, France
Abstract:This paper presents the use of a new meta-heuristic technique namely gray wolf optimizer (GWO) which is inspired from gray wolves’ leadership and hunting behaviors to solve optimal reactive power dispatch (ORPD) problem. ORPD problem is a well-known nonlinear optimization problem in power system. GWO is utilized to find the best combination of control variables such as generator voltages, tap changing transformers’ ratios as well as the amount of reactive compensation devices so that the loss and voltage deviation minimizations can be achieved. In this paper, two case studies of IEEE 30-bus system and IEEE 118-bus system are used to show the effectiveness of GWO technique compared to other techniques available in literature. The results of this research show that GWO is able to achieve less power loss and voltage deviation than those determined by other techniques.
Keywords:Gray wolf optimizer  Loss minimization  Voltage deviation minimization  Meta-heuristic technique  Optimal reactive power dispatch
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