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Review of Different Methods for Siting and Sizing Distributed Generator

Author

Listed:
  • Tobiloba Somefun

    (Covenant University, Ota, Nigeria.)

  • Olawale Popoola

    (Covenant University, Ota, Nigeria.)

  • Ademola Abdulkareem

    (Covenant University, Ota, Nigeria.)

  • Ayokunle Awelewa

    (Covenant University, Ota, Nigeria.)

Abstract

Distributed generator has been confirmed to be a means by which installation of a new centralized generator can be delayed or postponed in the era of deregulation. It helps to minimize line losses and improve voltage profile. the benefits associated with distributed generator can be greatly harnessed when DG is optimally sited and sized within power system network. In this study, different methods used by previous researchers were extensively reviewed. The summary of the methodologies from previous works were itemized one after the other. This was done under the impact of distributed generator in a network. These methodologies are summaries under three categories namely; analytical, meta-heuristic and hybrid optimization methods. All the methods are based on solving non-linear load flow solution except the Inherent Structural Network Topology. In this review work, the inherent structural network topology is recommended for further studies to solve power system problems.

Suggested Citation

  • Tobiloba Somefun & Olawale Popoola & Ademola Abdulkareem & Ayokunle Awelewa, 2022. "Review of Different Methods for Siting and Sizing Distributed Generator," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 16-31, May.
  • Handle: RePEc:eco:journ2:2022-03-3
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    Citations

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    Cited by:

    1. Riyadh Kamil Chillab & Aqeel S. Jaber & Mouna Ben Smida & Anis Sakly, 2023. "Optimal DG Location and Sizing to Minimize Losses and Improve Voltage Profile Using Garra Rufa Optimization," Sustainability, MDPI, vol. 15(2), pages 1-13, January.
    2. Shoaib Ahmed & Amjad Ali & Antonio D’Angola, 2024. "A Review of Renewable Energy Communities: Concepts, Scope, Progress, Challenges, and Recommendations," Sustainability, MDPI, vol. 16(5), pages 1-34, February.

    More about this item

    Keywords

    Distributed generator; Site; Size; Line losses; Reliability;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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