Design of Multi-Objective Particle Swarm Optimization (MOPSO) Based Controller for Load-Frequency Control of Power Systems Inter Connected With Elastic and Stiff Tie-Lines

Abstract

In this paper, Multi-Objective Particle Swarm Optimization(MOPSO) based  PI controller is proposed, from the objectives of the solutions obtained, using Integral Squared Error(ISE) and Linear Quadratic Performance Index (LQPI), control concepts . In this method, the PI controller is constructed, as a set of control rules and gains of PI controllers,  tuned using ISE, LQPI and MO-PSO. techniques PSO which is a powerful optimum search technique, has a salient advantage that it is  highly insensitive  to large load changes and disturbances in the presence of plant parameter variations and system nonlinearities under load following  variations.. The proposed method is simulated for a two-area power system  for identical, different thermal power systems, interconnected with stiff, elastic tie-lines. The results of the proposed MO-PSO based PI type controller are compared with the ISE and LQPI based PI  controller through some performance indices. The system was simulated, and frequency, tie-line power and control input deviations for 1% step load disturbance are presented. The results reveal that, the output response of the two-area thermal reheat power system with MO-PSO based Controller is more effective for two different / identical areas with stiff and elastic tie-lines.