Abstract

In this article, a new practical approach is implemented to analyze combined heat and power economic dispatch (CHPED) and wind based CHPED (CHPEDW) problems with a chaotic based whale optimization algorithm (WOA). The conflict objectives of this problem are used to minimize fuel costs as well as emission. The proposed WOA works on the searching behavior of humpback whales, which helps to satisfy the problem's objective functions. 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 is judged by comparing it with presently developed some other meta-heuristic optimization techniques.

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