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Performance Enhancement of Radial Power Distribution Networks Using Network Reconfiguration and Optimal Planning of Solar Photovoltaic-Based Distributed Generation and Shunt Capacitors

Author

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  • Muthukumar Kandasamy

    (School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur 613401, India)

  • Renugadevi Thangavel

    (School of Computing, SASTRA Deemed University, Thanjavur 613401, India)

  • Thamaraiselvi Arumugam

    (Sakthi Institute of Information and Management Studies, Pollachi 642001, India)

  • Jayachandran Jayaram

    (School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur 613401, India)

  • Wook-Won Kim

    (Department of Smart City &Energy, Gachon University, Seongnam 13120, Korea)

  • Zong Woo Geem

    (Department of Smart City &Energy, Gachon University, Seongnam 13120, Korea)

Abstract

In this work, an efficient hybrid optimization approach entitled harmony search and particle artificial bee colony algorithm is proposed to deal with the distribution network reconfiguration and solar photovoltaic-based distributed generation and shunt capacitor deployment in power distribution networks to improve the operating performance of power distribution networks. The proposed hybrid algorithm combines the exploration and exploitation capability of both algorithms to achieve optimal results. The optimization problem is formalized which includes distributed generation and shunt capacitor locations, open/close state of switches as discrete decision variables, and the optimum operating point of compensation devices as continuous variables. An efficient spanning tree approach is utilized to track the optimal topology of the network. The validity of the proposed hybrid algorithm in handling the optimal planning problem of the distribution network is assured through eight different operating scenarios at three discrete load levels. The efficiency of the proposed performance enhancement approaches was validated using 69 node and 118 node distribution networks. The obtained results are compared against similar techniques presented in the literature.

Suggested Citation

  • Muthukumar Kandasamy & Renugadevi Thangavel & Thamaraiselvi Arumugam & Jayachandran Jayaram & Wook-Won Kim & Zong Woo Geem, 2022. "Performance Enhancement of Radial Power Distribution Networks Using Network Reconfiguration and Optimal Planning of Solar Photovoltaic-Based Distributed Generation and Shunt Capacitors," Sustainability, MDPI, vol. 14(18), pages 1-36, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11480-:d:914005
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    References listed on IDEAS

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    1. Pepermans, G. & Driesen, J. & Haeseldonckx, D. & Belmans, R. & D'haeseleer, W., 2005. "Distributed generation: definition, benefits and issues," Energy Policy, Elsevier, vol. 33(6), pages 787-798, April.
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    Cited by:

    1. Rajib Baran Roy & Sanath Alahakoon & Piet Janse Van Rensburg, 2025. "Impact of Coordinated Electric Ferry Charging on Distribution Network Using Metaheuristic Optimization," Energies, MDPI, vol. 18(11), pages 1-29, May.
    2. Wei-Chen Lin & Chao-Hsien Hsiao & Wei-Tzer Huang & Kai-Chao Yao & Yih-Der Lee & Jheng-Lun Jian & Yuan Hsieh, 2024. "Network Reconfiguration Framework for CO 2 Emission Reduction and Line Loss Minimization in Distribution Networks Using Swarm Optimization Algorithms," Sustainability, MDPI, vol. 16(4), pages 1-17, February.
    3. Xin Yan & Qian Zhang, 2023. "Research on Combination of Distributed Generation Placement and Dynamic Distribution Network Reconfiguration Based on MIBWOA," Sustainability, MDPI, vol. 15(12), pages 1-34, June.

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