Using the gray wolf optimizer for solving optimal reactive power dispatch problem

• Published in: Applied soft computing Vol. 32; pp. 286 - 292
• Main Authors: Sulaiman, Mohd Herwan, Mustaffa, Zuriani, Mohamed, Mohd Rusllim, Aliman, Omar
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.07.2015
• Subjects: Gray wolf optimizer; Loss minimization; Meta-heuristic technique; Optimal reactive power dispatch; Voltage deviation minimization; Loss minimization; Gray wolf optimizer; Meta-heuristic technique; Optimal reactive power dispatch; Voltage deviation minimization
• ISSN: 1568-4946; 1872-9681
• DOI: 10.1016/j.asoc.2015.03.041

•Gray wolf optimizer (GWO) is employed in solving the optimal reactive power dispatch (ORPD) problems.•Three case studies have been utilized to show the effectiveness of GWO.•GWO able to find minimum loss and voltage deviation solution than those determined by other techniques. 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.