Performance Assessment of Grey Wolf Technique for AGC of Multi-source Intertied System

The ever growing demands, nonlinearity and intricacies associated with the power system together with strict requirement of system performing consistently well and numerous other changes that are occurring overtime in power system makes A GC study indispensable in order to discover and accommodates the changes for invention of futuristic ways of tackling emergent AGC problems. Hence, an important technique that demonstrates excellent performance in cracking complex engineering problems termed Grey wolf optimization (GWO) is deployed here for optimizing the parameters of the regulator (PID) used for AGC investigations of the power model (multi-source multi-area MSMA) considered. The transient response acquired with the technique was compared with other techniques that are known to be efficient and gives good result in the most recent literature of AGC study of the model considered. However, this comparison clearly indicate how GWO technique performance surpass the performance of these techniques. Also, the detailed sensitivity examination carry out to system manifest clearly the high robustness of the technique put forward here to randomness. Hence, the technique proved to be effective to the model applied in this study and can be recommended for modelling systems with same or similar specification as that given in this work.