A Modified Artificial Bee Colony for the Non-Smooth Dynamic Economic/Environmental Dispatch

  • Ι. Marouani National School of Engineering of Sfax (ENIS), University of Sfax, Tunisia
  • A. Boudjemline College of Engineering, University of Hail, Saudi Arabia
  • T. Guesmi College of Engineering, University of Hail, Saudi Arabia | University of Sfax, ENIS, Tunisia
  • H. H. Abdallah Electrical Engineering Department, University of Sfax, Tunisia
Volume: 8 | Issue: 5 | Pages: 3321-3328 | October 2018 | https://doi.org/10.48084/etasr.2098


This paper presents an improved artificial bee colony (ABC) technique for solving the dynamic economic emission dispatch (DEED) problem. Ramp rate limits, valve-point loading effects and prohibited operating zones (POZs) have been considered. The proposed technique integrates the grenade explosion method and Cauchy operator in the original ABC algorithm, to avoid random search mechanism. However, the DEED is a multi-objective optimization problem with two conflicting criteria which need to be minimized simultaneously. Thus, it is recommended to provide the best solution for the decision-makers. Shannon’s entropy-based method is used for the first time within the context of the on-line planning of generator outputs to extract the best compromise solution among the Pareto set. The robustness of the proposed technique is verified on six-unit and ten-unit system tests. Results proved that the proposed algorithm gives better optimum solutions in comparison with more than ten metaheuristic techniques.

Keywords: evolutionary computation, power generation dispatch, optimal scheduling, decision making, cost function


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