PSS based angle stability improvement using whale optimization approach

• Published in: Indonesian Journal of Electrical Engineering and Computer Science
• Main Author: Kamari N.A.M.; Musirin I.; Othman Z.; Halim S.A.
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2017
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037656891&doi=10.11591%2fijeecs.v8.i2.pp382-390&partnerID=40&md5=9e30596cc846ef8b425a24ea790aabc3

This paper introduced a new swarm based optimization technique for tuning Power System Stabilizer (PSS) that attached to a synchronous generator in a single machine infinite bus (SMIB) system. PSS which is installed with Lead-Lag (LL) controller is introduced to elevate the damping capability of the generator in the low frequency mode. For tuning PSS-LL parameters, a new technique called Whale Optimization Algorithm (WOA) is proposed. This method mimics the social behavior of humpback whales which is characterized by their bubble-net hunting strategy in order to enhance the quality of the solution. Based on eigenvalues and damping ratio results, it is confirmed that the proposed technique is more efficient than Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) in improving the angle stability of the system. Comparison between WOA, PSO and EP optimization techniques showed that the proposed computation approach give better solution and faster computation time. © 2017 Institute of Advanced Engineering and Science. All rights reserved.