Optimal tuning of PSS and STATCOM based controllers using differential evolution algorithm

In the present paper, optimal synchronization of PSS and STATCOM based controllers has been carried out using differential evolution (DE) algorithm for enhancement in power system stability. The design issues are generally formulated as constrained parameters, simulation based and non-linear optimized problem. The performance of the algorithm and simulation has been successfully tested on a single machine infinite bus system (SMIB) as well as on multi machine power system (MMPS). For the multi machine system, simulations are conceded on Kundur's four-machine two-area transmission network. The effectiveness of the optimized controllers is evaluated and then comparing those parameters with BFOA tuned PSS and STATCOM with both SMIB and MMPS system which is applied to several transient disturbances. Finally, simulations are carried out for proving the superiority of the DE algorithm over bacteria foraging optimization algorithm (BFOA).