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Multiobjective optimal power flow using a fuzzy based grenade explosion method

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Abstract

The aim of this paper is to solve the multiobjective optimal power flow (MOPF) problem using a new metaheuristic that is the grenade explosion method. The MOPF problem is formulated by assuming that the decision maker may have a fuzzy goal for each of the objective functions. Six objectives are considered which are: the minimization of generation fuel cost, the improvement of voltage profile, the enhancement of voltage stability, the reduction of emission and the minimization of active and reactive transmission losses. The proposed approach has been tested on the IEEE 30-bus test system. The obtained results show the effectiveness of the proposed method.

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Acknowledgments

Dr. M. A. Abido would like to acknowledge the support provided by King Abdulaziz City for Science and Technology (KACST) through the Science and Technology Unit at King Fahd University of Petroleum and Minerals (KFUPM) for funding this work through Project # 14-ENE265-04 as a part of the National Science, Technology and Innovation Plan (NSTIP).

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Authors and Affiliations

  1. Constantine Electrical Engineering Laboratory, LEC, Department of Electrical Engineering, University of Freres Mentouri Constantine, 25000, Constantine, Algeria

    H. R. E. H. Bouchekara & A. E. Chaib

  2. Laboratory of Electrical Engineering of Constantine, LGEC, Department of Electrical Engineering, University of Freres Mentouri Constantine, 25000, Constantine, Algeria

    H. R. E. H. Bouchekara

  3. Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia

    M. A. Abido

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  1. H. R. E. H. Bouchekara
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Correspondence to H. R. E. H. Bouchekara.

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Bouchekara, H.R.E.H., Chaib, A.E. & Abido, M.A. Multiobjective optimal power flow using a fuzzy based grenade explosion method. Energy Syst 7, 699–721 (2016). https://doi.org/10.1007/s12667-016-0206-8

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