Application of PSO and fuzzy logic for underfrequency load shedding

Islanded operation of power systems with a shortage of generation to meet the local demand may experience a dip in frequency which could potentially damage the system equipment unless proper action is taken to shed loads in a timely manner. Recent research has shown that the uncertainty associated with estimating the amount of load to be shed can be better handled by fuzzy systems; however, there is not much work on determining the optimal settings of the fuzzy system parameters. This paper presents the application of Particle Swarm Optimization (PSO) in optimization of a fuzzy system used in underfrequency load shedding (UFLS).