Generation Pattern Search for Different Kinds of Economic Load Dispatch

The binary successive approximation (BSA) based evolutionary search strategy has been proposed to solve economic load dispatch (ELD) problem by searching the generation pattern of committed units. Inequality constraints are taken care during search of generation pattern. To meet the demand, a slack generator is introduced to compensate the perturbation of unmet load during the search. Performance of the algorithm is investigated on ELD problems of different size and complexity having non-convex cost curves where conventional gradient based methods are inapplicable. This technique has emerged as the useful optimization tool for handling network losses, ramp rate limits, and prohibited zone avoidance into account to determine the global optimal dispatch solution. The method is applied on various test systems and better results are achieved in comparison to the existing techniques.