A Hybrid With Cross-Entropy Method and Sequential Quadratic Programming to Solve Economic Load Dispatch Problem


This paper presents a brand new hybrid approach integrating the cross-entropy (CE) algorithm and the sequential quadratic programming (SQP) technique to unravel the economic load dispatch (ELD) drawback related to electrical power generating units. Thanks to the introduction of the valve-purpose effect within the ELD objective function, the optimization task requires tools applicable for a nonconvex optimization landscape. In this respect, we tend to employ the CE approach, that constructs a random sequence of solutions probabilistically converging to a near-optimal resolution and, therefore, facilitating the exploration capability. Additionally, to fine-tune the answer in promising basins of attraction, the SQP algorithm is invoked, which performs a local search. Despite its reliance on a world heuristic scheme, CE-SQP is vested with fast convergence capability, that could entail its use for on-line power dispatch. The effectiveness and therefore the robustness of the proposed method in comparison with several state-of-the-art approaches are demonstrated with four commonplace take a look at systems that are widely reported within the ELD literature.

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