Load Frequency Control of Two Area System Using PSO with Different Inertia Weight Strategies

This paper presents the application of different inertia weight strategies to Particle swarm optimization (PSO) algorithm for a two area power system employing PID controller for automatic generation control. In automatic generation control (AGC) problem when we adopt conventional PSO algorithm there is a tradeoff between the global and local search. For different problems there should be different balances between the local search ability and global search ability. Considering this, different inertia weight strategies are brought in to the PSO algorithm which plays the role of balancing the global search and local search. Constant Inertia Weight, Random Inertia Weight and Linear Decreasing Inertia Weight are the different inertia weight strategies adopted and results are compared by applying to automatic generation control problem. The entire system is simulated using MATLAB/SIMULINK platform.