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Optimal Planning of Multitype DGs and D-STATCOMs in Power Distribution Network Using an Efficient Parameter Free Metaheuristic Algorithm

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  • Subrat Kumar Dash

    (Department of Electrical Engineering, Goverrnment College of Engineering Kalahandi, Bhawanipatna 766002, Odisha, India)

  • Sivkumar Mishra

    (Department of Electrical Engineering, Center for Advanced Post Graduate Studies, Biju Patnaik University of Technology, Rourkela 769015, Odisha, India)

  • Almoataz Youssef Abdelaziz

    (Faculty of Engineering and Technology, Future University in Egypt, Cairo 11835, Egypt)

  • Junhee Hong

    (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 a quest to solve the multi-objective optimal planning problem using a simple parameter-free metaheuristic algorithm, this paper establishes the recently proposed student psychology-based optimization (SPBO) algorithm as the most promising one, comparing it with the other two popular nonparametric metaheuristic optimization algorithms, i.e., the symbiotic organisms search (SOS) and Harris hawk optimization (HHO). A novel multi-objective framework (with suitable weights) is proposed with a real power loss minimization index, bus voltage variation minimization index, system voltage stability maximization index, and system annual cost minimization index to cover various technical, economic, and environmental aspects. The performances of these three algorithms are compared extensively for simultaneous allocation of multitype distributed generations (DGs) and D-STACOM in 33-bus and 118-bus test systems considering eight different cases. The detailed analysis also includes the statistical analysis of the results obtained using the three algorithms applied to the two test distribution systems.

Suggested Citation

  • Subrat Kumar Dash & Sivkumar Mishra & Almoataz Youssef Abdelaziz & Junhee Hong & Zong Woo Geem, 2022. "Optimal Planning of Multitype DGs and D-STATCOMs in Power Distribution Network Using an Efficient Parameter Free Metaheuristic Algorithm," Energies, MDPI, vol. 15(9), pages 1-35, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3433-:d:810893
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    References listed on IDEAS

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    1. Chu Donatus Iweh & Samuel Gyamfi & Emmanuel Tanyi & Eric Effah-Donyina, 2021. "Distributed Generation and Renewable Energy Integration into the Grid: Prerequisites, Push Factors, Practical Options, Issues and Merits," Energies, MDPI, vol. 14(17), pages 1-34, August.
    2. Subrat Kumar Dash & Sivkumar Mishra & Almoataz Y. Abdelaziz & Mamdouh L. Alghaythi & Ahmed Allehyani, 2022. "Optimal Allocation of Distributed Generators in Active Distribution Networks Using a New Oppositional Hybrid Sine Cosine Muted Differential Evolution Algorithm," Energies, MDPI, vol. 15(6), pages 1-35, March.
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    Cited by:

    1. Sahoo, Lohit Kumar & Mishra, Sivkumar & Dash, Subrat Kumar, 2025. "Optimal integration of D-STATCOMs in grid-tied microgrid consisting of renewable DGs and EV charging stations using improved snow ablation optimizer," Applied Energy, Elsevier, vol. 381(C).
    2. Chintan D. Patel & Tarun Kumar Tailor & Samyak S. Shah & Gulshan Sharma & Pitshou N. Bokoro, 2025. "Techno-Economic Enhancement of Distribution Network by Optimal DG Allocation Along with Network Reconfiguration Considering Different Load Models and Levels," Energies, MDPI, vol. 18(12), pages 1-16, June.
    3. Mohsen Khalili & Touhid Poursheykh Aliasghari & Ebrahim Seifi Najmi & Almoataz Y. Abdelaziz & A. Abu-Siada & Saber Arabi Nowdeh, 2022. "Optimal Allocation of Distributed Thyristor Controlled Series Compensators in Power System Considering Overload, Voltage, and Losses with Reliability Effect," Energies, MDPI, vol. 15(20), pages 1-25, October.

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