PSS tuning with firefly driven knowledge domain-a smart control concept

Abstract

This paper presents the tuning of power system stabilizers (PSS) with Firefly driven knowledge domain states mapping in multi area power system. Tuning of PSS parameters has been done by Firefly algorithm (FA) by minimizing performance indices as an objective function. Tuning of PSS parameters by FA have been done in offline mode at different operating conditions such as dynamic load change. The objective function for tuning the parameters of PSS is integral time multiplied by squared error (ITSE). These sets of tuned parameters at different operating conditions are termed as knowledge domain. The states response violates from desired limits as the dynamic change in the system operating conditions occurs. Retuning of controller parameters have been done straight away from the respective knowledge domain to provide precise damping of signals of interest as quick as possible. The process is viewed as knowledge domain mapping. The system study has been performed on six area sample power system developed with UPFC connected between area two and three and PSS to rest of all the areas. The proposed concept demonstrates auto tuning of PSS for quick oscillation damping as the operating condition changes.