Title: Combined economic and emission dispatch using whale optimisation algorithm

Authors: C.K. Faseela; H. Vennila

Addresses: M E S College of Engineering and Technology, Kunnukara, Kerala, India ' Noorul Islam Centre for Higher Education, Nagercoil, Tamil Nadu, India

Abstract: This paper highlight the use of latest whale optimisation meta heuristic algorithm for solving economic dispatch problem efficiently. This is used to solve the combined economic and emission dispatch problems for standard three generators system and 30 bus IEEE system. The whale optimisation algorithm was found to provide optimum results with easy convergence in comparison with other algorithms like PSO algorithm. Fuel cost and emission costs are combined to derive better result for economic dispatch. For checking the effectiveness of the algorithm, the results obtained using the same are compared with the results of particle swarm optimisation (PSO) and analysed the same against minimum generation cost and easy convergence. The results are found to be excellent for the systems considered.

Keywords: particle swan optimisation; PSO; whale optimisation algorithm; WOA; economic and emission dispatch; EED; optimum; solution; fuel cost; emission cost; optimisation methodology.

DOI: 10.1504/IJENM.2019.098101

International Journal of Enterprise Network Management, 2019 Vol.10 No.1, pp.32 - 43

Received: 23 Dec 2017
Accepted: 08 May 2018
Published online: 04 Mar 2019 *

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