Chaotic whale optimization algorithm for optimal solution of combined heat and power economic dispatch problem incorporating wind

Abstract In this article, a new practical approach has been implemented to analyze combined heat and power economic dispatch (CHPED) and wind base CHPED (CHPEDW) problems with a chaotic base whale optimization algorithm (WOA) (CWOA). The conflict objectives of this problem are to minimize fuel costs as well as emission. The proposed WOA works on the searching behavior of humpback whales, which helps to satisfy the objective functions of the problem. The chaotic nature has been integrated with WOA to enhance the convergence speed of the problem. The presence of valve point loading, prohibited operating zone, and uncertainty of wind has expanded the problem nonlinearity. It has been tested on two different nonlinear realistic power areas to judge the satisfactory results of the proposed algorithm. The superiority of the proposed algorithm judged by comparing it with presently developed some other meta-heuristic optimization techniques.

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