Design PID Controller based PSS using Cuckoo Search Optimization Technique

This article proposes a new method for design of Proportional-Integral-Derivative controller-based Power System Stabilizer (PID-PSS) for damping of low-frequency oscillations. The PID-PSS controller is optimized by minimizing the weighted sum of the Integral Absolute Error (IAE) and Integral Time Absolute Error (ITAE) with the help of the Cuckoo Search Optimization (CSO) technique for damp out Low-Frequency Oscillation (LFO) in the connected power system. The Heffron-Philips model of Single Machine with Infinite Bus (SMIB) power system is used to design PID-PSS controller. The system performance with such a proposed CS-PID-PSS is analysed and contrasted with Conventional types PSS (CPSS), Genetic Algorithm based PID-PSS (GA-PID-PSS) and Particle Swarm Optimization based PID-PSS (PSO-PID-PSS). CS-PID-PSS provides superior damping performance in terms of system eigenvalues in the s-plane, settling time and performance indices.