Optimal Power Flow (OPF) Problem version 1

Version 1.0.0 (17 ko) par Houssem
Optimal Power Flow (OPF) Problem version 1 using metaheuristics
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Mise à jour 26 juil. 2019

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The optimal power flow (OPF) problem is the backbone tool for power system operation. The objective of the OPF problem is to determine the optimal operating state of a power system by optimizing a particular objective while satisfying certain operating constraints.
This code is an illustration on how to solve the OPF problem using a metaheuristic.

Citation pour cette source

Bouchekara, H. R. E. H. “Optimal Power Flow Using Black-Hole-Based Optimization Approach.” Applied Soft Computing, vol. 24, Elsevier BV, Nov. 2014, pp. 879–88, doi:10.1016/j.asoc.2014.08.056.

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Bouchekara, H. R. E. H., et al. “Optimal Power Flow Using Teaching-Learning-Based Optimization Technique.” Electric Power Systems Research, vol. 114, Elsevier BV, Sept. 2014, pp. 49–59, doi:10.1016/j.epsr.2014.03.032.

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Bouchekara, H. R. E. H., et al. “Optimal Power Flow Using the League Championship Algorithm: A Case Study of the Algerian Power System.” Energy Conversion and Management, vol. 87, Elsevier BV, Nov. 2014, pp. 58–70, doi:10.1016/j.enconman.2014.06.088.

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Bouchekara, Houssem Rafik El-Hana, and Mohamed Ali Abido. “Optimal Power Flow Using Differential Search Algorithm.” Electric Power Components and Systems, vol. 42, no. 15, Informa UK Limited, Oct. 2014, pp. 1683–99, doi:10.1080/15325008.2014.949912.

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Bouchekara, H. R. E. H., et al. “Optimal Power Flow Using an Improved Colliding Bodies Optimization Algorithm.” Applied Soft Computing, vol. 42, Elsevier BV, May 2016, pp. 119–31, doi:10.1016/j.asoc.2016.01.041.

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Chaib, A. E., et al. “Optimal Power Flow with Emission and Non-Smooth Cost Functions Using Backtracking Search Optimization Algorithm.” International Journal of Electrical Power & Energy Systems, vol. 81, Elsevier BV, Oct. 2016, pp. 64–77, doi:10.1016/j.ijepes.2016.02.004.

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Bouchekara, Houssem Rafik El-Hana, et al. “Optimal Power Flow Using an Improved Electromagnetism-like Mechanism Method.” Electric Power Components and Systems, vol. 44, no. 4, Informa UK Limited, Jan. 2016, pp. 434–49, doi:10.1080/15325008.2015.1115919.

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Bouchekara, H. R. E. H., et al. “Optimal Power Flow Using GA with a New Multi-Parent Crossover Considering: Prohibited Zones, Valve-Point Effect, Multi-Fuels and Emission.” Electrical Engineering, vol. 100, no. 1, Springer Nature, Nov. 2016, pp. 151–65, doi:10.1007/s00202-016-0488-9.

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Berrouk, F., Bouchekara, H. R. E. H., Chaib, A. E., Abido, M. A., Bounaya, K., & Javaid, M. S. (2018). A new multi-objective Jaya algorithm for solving the optimal power flow problem. Journal of Electrical Systems, 14(3), 165–181.

Bouchekara, Houssem. “Solution of the Optimal Power Flow Problem Considering Security Constraints Using an Improved Chaotic Electromagnetic Field Optimization Algorithm.” Neural Computing and Applications, Springer Science and Business Media LLC, June 2019, doi:10.1007/s00521-019-04298-3.

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Compatibilité avec les versions de MATLAB
Créé avec R2015a
Compatible avec toutes les versions
Plateformes compatibles
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Version Publié le Notes de version
1.0.0