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Solving Optimal Power Flow Problem Using Improved Differential Evolution Algorithm

Layth AL-Bahrani 1, Murtadha AL-Kaabi 2, and Jaleel AL Hasheme 3
1. Faculty of Engineering, Al-Mustansiriyah University, Baghdad, Iraq
2. Ministry of Education/ Rusafa 3/ School Building Department, Baghdad, Iraq
3. Faculty of Energy, University POLITEHNICA of Bucharest, Bucharest, Romania

Abstract—The purpose of this article is to present a new improvement of the differential evolution algorithm for solving the Optimal Power Flow (OPF) problem with multiple and competing objective functions. The objective functions are fuel cost minimization of generating units, minimization of emission, reduction of real power losses in the transmission lines, voltage profile improvement, and voltage stability enhancement. These improvements include the random selection mechanism for a crossover, the trial operation modification, and finely introducing the mutation process calculations into the selection stage. To demonstrate the effectiveness of the proposed technique, the Improved Differential Evolution (IDE) has been performed on the IEEE 30-bus standard system. The optimization results reveal that the proposed approach has a high convergence speed with good variety. Lastly, the numerical results of the proposed approach are compared with other recent optimization methods. These comparisons demonstrate the effectiveness of the IDE technique for solving different OPF problems.
Index Terms—Improved differential evolution ide algorithm, Optimal Power Flow (OPF), fuel cost, emission, active power losses, voltage deviation, voltage stability index

Cite: Layth AL-Bahrani, Murtadha AL-Kaabi, and Jaleel AL Hasheme, "Solving Optimal Power Flow Problem Using Improved Differential Evolution Algorithm," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 11, No. 2, pp. 146-155, March 2022. Doi: 10.18178/ijeetc.11.2.146-155

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.