Volume 15, Issue 1 (March 2019)                   IJEEE 2019, 15(1): 94-113 | Back to browse issues page

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Herbadji O, Slimani L, Bouktir T. Optimal Power Flow With Four Conflicting Objective Functions Using Multiobjective Ant Lion Algorithm: A Case Study of the Algerian Electrical Network. IJEEE 2019; 15 (1) :94-113
URL: http://ijeee.iust.ac.ir/article-1-1302-en.html
Optimal Power Flow With Four Conflicting Objective Functions Using Multiobjective Ant Lion Algorithm: A Case Study of the Algerian Electrical Network
O. Herbadji , L. Slimani , T. Bouktir
Abstract:   (3885 Views)
In this study, a multiobjective optimization is applied to Optimal Power Flow Problem (OPF). To effectively achieve this goal, a Multiobjective Ant Lion algorithm (MOALO) is proposed to find the Pareto optimal front for the multiobjective OPF. The aim of this work is to reach good solutions of Active and Reactive OPF problem by optimizing 4-conflicting objective functions simultaneously. Here are generation cost, environmental pollution emission, active power losses, and voltage deviation. The performance of the proposed MOALO algorithm has been tested on various electrical power systems with different sizes such as IEEE 30-bus, IEEE 57-bus, IEEE 118-bus, IEEE 300-bus systems and on practical Algerian DZ114-bus system. The results of the tests proved the versatility of the algorithm when applied to large systems. The effectiveness of the proposed method has been confirmed by comparing the results obtained with those obtained by other algorithms given in the literature for the same test systems.
Keywords: Optimal Power Flow , Multiobjective Ant Lion Algorithm , Algerian Electrical Network , Generation Cost , Environmental Pollution Emission , Active Power Losses , Voltage Deviation
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Type of Study: Research Paper | Subject: Power Systems Operation
Received: 2018/06/25 | Revised: 2019/02/07 | Accepted: 2018/11/16
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.