Robust tuning of multimachine power system Stabilizer via Cuckoo Search Optimization Algorithm

摘要

In this paper, Cuckoo Search Optimization (CSO) algorithm is presented for robust tuning of Power System Stabilizer (PSS) parameters in multimachine power system. In this work, a conventional speed-based lead-lag PSS is used. A damping ratio based objective function is formulated to optimize the damping of all electromechanical modes. The parameters of the CSO based PSS (CSOPSS) are optimized to shift the unstable or poorly damped eigenvalues associated with all electromechanical modes to a wedge-shape zone in left half of the s-plane. The eigenvalue analysis, time domain simulation results and performance indices show the effectives of CSOPSS by exhibiting better damping ratio than Genetic Algorithm based PSS (GAPSS) and Particle Swarm Optimization based PSO (PSOPSS). It is observed that CSOPSS exhibits improved damping performance compared to GAPSS and PSOPSS. The performance of proposed PSS is tested on Kundur 2-area 4-machine power system for wide range of operating conditions and severe disturbances.1