Solution of Economic Load Dispatch Problems by a Novel Seeker Optimization Algorithm

This article presents an efficient approach for solving economic load dispatch (ELD) problems in different test power systems using a novel seeker optimization algorithm (SOA) In the SOA, the act of human searching capability and understanding are exploited for the purpose of optimization. In this algorithm, the search direction is based on empirical gradient by evaluating the response to the position changes and the step length is based on uncertainty reasoning by using a simple fuzzy rule. In this paper, four test systems of the ELD problems are solved by adopting the SOA. A comparison of obtained simulation results by adopting the SOA is carried out with those published in the recent literatures. It is revealed from comparison that the optimization efficacy of the SOA over the prevailing optimization techniques for the solution of the multimodal, non-differentiable, highly non-linear, and constrained ELD problems is promising.

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