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Optimizing Distributed Generation Placement and Sizing in Distribution Systems: A Multi-Objective Analysis of Power Losses, Reliability, and Operational Constraints

Author

Listed:
  • Izhar Us Salam

    (Department of Electrical Power Engineering, U.S.-Pakistan Center for Advanced Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST), H-12, Islamabad 44000, Pakistan)

  • Muhammad Yousif

    (Department of Electrical Power Engineering, U.S.-Pakistan Center for Advanced Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST), H-12, Islamabad 44000, Pakistan)

  • Muhammad Numan

    (Department of Electrical Power Engineering, U.S.-Pakistan Center for Advanced Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST), H-12, Islamabad 44000, Pakistan)

  • Kamran Zeb

    (School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad 44000, Pakistan
    School of Electrical Engineering, Pusan National University, Busan 46241, Republic of Korea)

  • Moatasim Billah

    (Department of Electrical Power Engineering, U.S.-Pakistan Center for Advanced Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST), H-12, Islamabad 44000, Pakistan)

Abstract

The integration of distributed generation (DG) into distribution networks introduces uncertainties that can substantially affect network reliability. It is crucial to implement appropriate measures to maintain reliability parameters within acceptable limits and ensure a stable power supply for consumers. This paper aims to optimize the location, size, and number of DG units to minimize active power losses and improve distribution System (DS) reliability while considering system operational constraints. To achieve this objective, multiple tests are conducted, and the particle swarm optimization (PSO) technique is implemented. The simulation studies are performed using the ETAP software 19.0.1 version, while the PSO algorithm is implemented in MATLAB R2018a. ETAP enables a comprehensive evaluation of the DG system’s performance, providing valuable insights into its effectiveness in reducing power losses and enhancing system reliability. The PSO algorithm in MATLAB ensures accurate optimization, facilitating the identification of the optimal DG unit location and size. This study uses a modified IEEE-13 bus unbalanced radial DS as the test system, assessing the effects of photovoltaic (PV) and wind DG units under various scenarios and penetration levels. The results demonstrate that the optimal DG unit location and size of either a single PV or wind DG unit significantly reduce power losses, improve DS reliability, and enable effective load sharing with the substation. Moreover, this study analyzes the impact of DG unit uncertainty on system performance. The findings underscore the potential of optimized DG integration to enhance DS efficiency and reliability in the presence of renewable energy sources.

Suggested Citation

  • Izhar Us Salam & Muhammad Yousif & Muhammad Numan & Kamran Zeb & Moatasim Billah, 2023. "Optimizing Distributed Generation Placement and Sizing in Distribution Systems: A Multi-Objective Analysis of Power Losses, Reliability, and Operational Constraints," Energies, MDPI, vol. 16(16), pages 1-28, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:16:p:5907-:d:1214143
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    References listed on IDEAS

    as
    1. Sanaullah Ahmad & Azzam ul Asar, 2021. "Reliability Enhancement of Electric Distribution Network Using Optimal Placement of Distributed Generation," Sustainability, MDPI, vol. 13(20), pages 1-16, October.
    2. Muhammad Aamir Aman & Xin Cheng Ren & Wajahat Ullah Khan Tareen & Muhammad Abbas Khan & Muhammad Rizwan Anjum & Anas M. Hashmi & Haider Ali & Inam Bari & Jehanzeb Khan & Sanaullah Ahmad & Muhammad Fai, 2022. "Optimal Siting of Distributed Generation Unit in Power Distribution System considering Voltage Profile and Power Losses," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-14, January.
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    Cited by:

    1. Nanang Hariyanto & Niko B. Simamora & Kevin M. Banjar-Nahor & Hendry Timotiyas Paradongan, 2024. "Analysis of Optimal HVDC Back-to-Back Placement Based on Composite System Reliability," Energies, MDPI, vol. 17(19), pages 1-26, October.
    2. Ahmad El Sayed & Gokturk Poyrazoglu, 2024. "Analysis of Grid Performance with Diversified Distributed Resources and Storage Integration: A Bilevel Approach with Network-Oriented PSO," Energies, MDPI, vol. 17(10), pages 1-21, May.
    3. Ammar Abbas Majeed & Ahmed Sabri Altaie & Mohamed Abderrahim & Afaneen Alkhazraji, 2023. "A Review of Protection Schemes for Electrical Distribution Networks with Green Distributed Generation," Energies, MDPI, vol. 16(22), pages 1-31, November.
    4. Muhammad Usman Riaz & Suheel Abdullah Malik & Amil Daraz & Hasan Alrajhi & Ahmed N. M. Alahmadi & Abdul Rahman Afzal, 2024. "Advanced Energy Management in a Sustainable Integrated Hybrid Power Network Using a Computational Intelligence Control Strategy," Energies, MDPI, vol. 17(20), pages 1-53, October.

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