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Multi-Objective Bee Swarm Optimization Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems

Author

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  • Nien-Che Yang

    (Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan)

  • Danish Mehmood

    (Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan)

Abstract

Harmonic distortion in power systems is a significant problem, and it is thus necessary to mitigate critical harmonics. This study proposes an optimal method for designing passive power filters (PPFs) to suppress these harmonics. The design of a PPF involves multi-objective optimization. A multi-objective bee swarm optimization (MOBSO) with Pareto optimality is implemented, and an external archive is used to store the non-dominated solutions obtained. The minimum Manhattan distance strategy was used to select the most balanced solution in the Pareto solution set. A series of case studies are presented to demonstrate the efficiency and superiority of the proposed method. Therefore, the proposed method has a very promising future not only in filter design but also in solving other multi-objective optimization problems.

Suggested Citation

  • Nien-Che Yang & Danish Mehmood, 2022. "Multi-Objective Bee Swarm Optimization Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems," Mathematics, MDPI, vol. 10(1), pages 1-20, January.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:1:p:133-:d:716417
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    References listed on IDEAS

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    1. Łukasz Michalec & Michał Jasiński & Tomasz Sikorski & Zbigniew Leonowicz & Łukasz Jasiński & Vishnu Suresh, 2021. "Impact of Harmonic Currents of Nonlinear Loads on Power Quality of a Low Voltage Network–Review and Case Study," Energies, MDPI, vol. 14(12), pages 1-19, June.
    2. Ziad M. Ali & Ibrahim Mohamed Diaaeldin & Shady H. E. Abdel Aleem & Ahmed El-Rafei & Almoataz Y. Abdelaziz & Francisco Jurado, 2020. "Scenario-Based Network Reconfiguration and Renewable Energy Resources Integration in Large-Scale Distribution Systems Considering Parameters Uncertainty," Mathematics, MDPI, vol. 9(1), pages 1-31, December.
    3. Ismael, Sherif M. & Abdel Aleem, Shady H.E. & Abdelaziz, Almoataz Y. & Zobaa, Ahmed F., 2019. "State-of-the-art of hosting capacity in modern power systems with distributed generation," Renewable Energy, Elsevier, vol. 130(C), pages 1002-1020.
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    Cited by:

    1. Thamer A. H. Alghamdi & Fatih Anayi & Michael Packianather, 2022. "Optimal Design of Passive Power Filters Using the MRFO Algorithm and a Practical Harmonic Analysis Approach including Uncertainties in Distribution Networks," Energies, MDPI, vol. 15(7), pages 1-24, April.
    2. Sasikumar Gurumoorthy & Aruna Kumari Kokku & Przemysław Falkowski-Gilski & Parameshachari Bidare Divakarachari, 2023. "Effective Air Quality Prediction Using Reinforced Swarm Optimization and Bi-Directional Gated Recurrent Unit," Sustainability, MDPI, vol. 15(14), pages 1-19, July.

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