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Optimal power flow using GA with a new multi-parent crossover considering: prohibited zones, valve-point effect, multi-fuels and emission

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Abstract

In this paper, a genetic algorithm with new multi-parent crossover (GA-MPC) is used for solving the optimal power flow problem. This method is tested on the IEEE 30-bus test system for 10 different cases where, in addition to the total fuel cost, different complexities and constraints like: emission, multi-fuels, valve-point effect and prohibited zones are considered. The effectiveness and robustness of the GA-MPC method are assessed using a statistical study and a comparative study with some well-known optimization methods. The obtained results along with the comparison study indicate that the GA-MPC method provides effective and high-quality solution when solving the optimal power flow problem even for complicated and highly constrained working conditions.

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Acknowledgements

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 No. 14-ENE265-04 as a part of the National Science, Technology and Innovation Plan (NSTIP).

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Authors and Affiliations

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

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

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

    M. A. Abido

Authors
  1. H. R. E. H. Bouchekara
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  2. A. E. Chaib
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  3. M. A. Abido
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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. Optimal power flow using GA with a new multi-parent crossover considering: prohibited zones, valve-point effect, multi-fuels and emission. Electr Eng 100, 151–165 (2018). https://doi.org/10.1007/s00202-016-0488-9

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  • DOI: https://doi.org/10.1007/s00202-016-0488-9

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