Comparative analysis of population based algorithms and hypothesis test in PSS design for multi machine power system

Abstract EN

This paper addresses the Power System Stabilizers (PSSs) tuning problem for multi machine system.

Often power system is subjected to many disturbances ; impact of disturbances on the dynamics of power system is always an unabated dilemma for the researchers ; this work analyzes a small signal stability problem for 16 generator 68 bus system.

PSSs are cost effective damping controller, which gives sufficient damping when properly tuned.

A recently developed swarm based algorithm Cuckoo Search, based on random walk of the species is applied on a conventional objective function to find the optimal parameters for stabilizer.

A decisive evaluation is done on the basis of solution quality and convergence speed.

A hypothesis based on solution quality is created to compare the solution quality of the CSA with respect to Genetic algorithm (GA), Particle Swarm optimization (PSO) and Gravitational search algorithm (GSA).

The solutions obtained from the speed deviation curves prove the efficacy of the proposed algorithm.

Efficacy of the proposed method is judged under different fault locations, different permutations of loading conditions and system configurations.