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

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