A Novel Hybrid Ga-Pso Technique For Optimal Tuning Of Fuzzy Controller To Improve Multi-Machine Power System Stability

This paper presents a design of FPSS using hybrid GA and PSO to damp low frequency oscillation in multi-machine power system where the parameters of proposed controller are optimized offline automatically by the hybrid techniques. This newly proposed controller is more efficient because it cope with oscillations and different operating points. In this strategy the controller is tuned on line from the knowledge base and fuzzy interference. For achieving the desired level of robust performance in fuzzy controller, exact tuning of rule base and membership functions are very important. The motivation for using the GA and PSO as a hybrid method are to reduce fuzzy effort and take large parametric uncertainties in to account. This newly developed control strategy mixed the advantage of GA and PSO techniques leads to a flexible controller with simple structure while is easy to implement. The New England 10-unit 39-bus standard power system, under various system configurations and loading conditions, is employed to illustrate the performance of the proposed method. The effectiveness of proposed controller is compared with robust PSS that tune using TS and the fuzzy controller which is optimized rule base by GA through FD and ITAE performance indices. Simulation results show the effectiveness of the proposed PSO-based fuzzy membership function of power system stabilizer and GA-based fuzzy rule base of PSS to damp the oscillation of multi-machine system and work effectively under variable loading and fault conditions. Copyright (C) 2011 Praise Worthy Prize S.r.l. - All rights reserved