PSO based PI controller for load frequency control of interconnected power systems

Abstract

Proportional-plus-integral controller is designed here based on Particle Swarm Optimization (PSO) for controlling the frequency deviation which is a major problem of a two area interconnected power system. In order to improvise the performance of supplying power of a power system, error function is minimized. The objective function taken into consideration over here is Integral Time multiplied with Absolute Error (ITAE). To optimize the gain values of controller, the PSO algorithm is used. The choice of this algorithm over other recent well known algorithms such as Bacteria Foraging Optimization Algorithm (BFOA) and Genetic Algorithm (GA) is explained for the same interconnected system. Tuning of controllers are done in order to get the gain values or controller parameters such that the desired frequency and power interchange with neighboring systems is maintained within specific value. Controllers must possess the property of being sensitive against changes in frequency and load. Tuning of controllers based on PSO algorithm is justified by making a comparison with Conventional method and LQR method.