Tuning and comparing different power system stabilizers using different performance indices applying GWO algorithm

In this study a new meta-heuristic optimization algorithm is used for optimal tuning of different types of PSS to stabilize a synchronous machine connected to an infinite bus. The robustness of each controller has been evaluated via four different types of error criteria and the coefficients optimized by the Grey Wolf Optimizer (GWO) which provides reasonable solutions. By analyzing the results based on the solutions given by GWO, excellency of the algorithm in solving such problems become obvious. The capability of each controller for damping, when acting alone, may be matter of concern, too. And finally results obtained for each controller due to different criteria, have been compared to show the operational results of each controller.

Tuning and comparing different power system stabilizers using different performance indices applying GWO algorithm Keywords:

fractional order PID (FOPID) , Grey Wolf Optimizer (GWO) , PID , Power system stabilizer (PSS)