Improvement of Power System Stability by Optimal SVC Controller Design Using Shuffled Frog-Leaping Algorithm

Abstract

ABSTRACTThere have been a variety of studies developed to design static Var compensator (SVC) to enhance damping of electromechanical oscillations in power systems. This paper presents a novel method towards an optimal designing of SVC damping controller using shuffled frog-leaping algorithm (SFLA). The optimal parameters of the SVC controller are obtained using SFLA considering different loading conditions. A time-domain objective function is minimized using SFLA to find the optimum controller parameters. The proposed algorithm is implemented on a test system with different loading conditions. The damping characteristics of the presented technique are compared with genetic algorithm (GA) and bacteria foraging optimization algorithm (BFOA) in tuning SVC controller. The comparative analysis demonstrates the superiority of the proposed method on a wide range of operating conditions.Keywords: Low-frequency oscillationsMulti-machine power systemShuffled frog-leaping algorithm (SFLA)Static Var compensator (SVC) Additional informationNotes on contributorsMohsen DarabianMohsen Darabian received his BSc and MSc degrees in electrical from Azad university of Abhar branch and University of Zanjan, in 2010 and 2013, respectively. He is currently a PhD student at Department of Power Engineering, University of Zanjan, Zanjan, Iran. His research interests include application of intelligent methods in power systems, distributed generation modelling, power electronic, FACTS, power quality and power system dynamics.E-mail: [e-mail] Masoud Mohseni-BonabSeyed Masoud Mohseni-Bonab (SM. Mohseni-Bonab) was born in Iran in 1988. He received the BSc degree in power engineering from Tabriz University, Tabriz, Iran, in 2010, and the MSc degree in electrical power engineering from the University of Zanjan, Zanjan, Iran, in 2014. His main interest areas include power system optimization, reactive power dispatch, renewable energies, power system stability and FACTS devices.E-mail: [e-mail] Mohammadi-IvatlooBehnam Mohammadi-Ivatloo (S'09, M'12) received the BSc degree in electrical engineering from University of Tabriz, Tabriz, Iran, in 2006, and the MSc and PhD degrees from the Sharif University of Technology, Tehran, Iran, in 2008 and 2012, all with honours. He is currently an assistant professor with Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. His main area of research is economics, operation and planning of intelligent energy systems in a competitive market environment.Email: [e-mail]