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Determination of Optimal Location and Sizing of Solar Photovoltaic Distribution Generation Units in Radial Distribution Systems

Author

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  • Minh Quan Duong

    (Department of Electrical Engineering, The University of Da Nang, University of Science and Technology, Da Nang city 550000, Vietnam)

  • Thai Dinh Pham

    (Faculty of Automation Technology, Thu Duc College of Technology, Ho Chi Minh City 700000, Vietnam)

  • Thang Trung Nguyen

    (Power System Optimization Research Group, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam)

  • Anh Tuan Doan

    (Department of Electrical Engineering, The University of Da Nang, University of Science and Technology, Da Nang city 550000, Vietnam)

  • Hai Van Tran

    (Faculty of Electrical and Electronic Technology, HCM City University of Food Industry, Ho Chi Minh City 700000, Vietnam)

Abstract

This paper presents an effective biogeography-based optimization (BBO) for optimal location and sizing of solar photovoltaic distributed generation (PVDG) units to reduce power losses while maintaining voltage profile and voltage harmonic distortion at the limits. This applied algorithm was motivated by biogeography, that the study of the distribution of biological species through time and space. This technique is able to expand the searching space and retain good solution group at each generation. Therefore, the applied method can significantly improve performance. The effectiveness of the applied algorithm is validated by testing it on IEEE 33-bus and IEEE 69-bus radial distribution systems. The obtained results are compared with the genetic algorithm (GA), the particle swarm optimization algorithm (PSO) and the artificial bee colony algorithm (ABC). As a result, the applied algorithm offers better solution quality and accuracy with faster convergence.

Suggested Citation

  • Minh Quan Duong & Thai Dinh Pham & Thang Trung Nguyen & Anh Tuan Doan & Hai Van Tran, 2019. "Determination of Optimal Location and Sizing of Solar Photovoltaic Distribution Generation Units in Radial Distribution Systems," Energies, MDPI, vol. 12(1), pages 1-24, January.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:1:p:174-:d:195238
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    References listed on IDEAS

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    17. Brandon Cortés-Caicedo & Luis Fernando Grisales-Noreña & Oscar Danilo Montoya & Miguel-Angel Perea-Moreno & Alberto-Jesus Perea-Moreno, 2022. "Optimal Location and Sizing of PV Generation Units in Electrical Networks to Reduce the Total Annual Operating Costs: An Application of the Crow Search Algorithm," Mathematics, MDPI, vol. 10(20), pages 1-22, October.
    18. Syed Safeer Mehdi Shamsi & Assmelash A. Negash & Gyu Baek Cho & Young Min Kim, 2019. "Waste Heat and Water Recovery System Optimization for Flue Gas in Thermal Power Plants," Sustainability, MDPI, vol. 11(7), pages 1-20, March.
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    20. Biggins, F.A.V. & Travers, D. & Ejeh, J.O. & Lee, R. & Buckley, A. & Brown, S., 2023. "The economic impact of location on a solar farm co-located with energy storage," Energy, Elsevier, vol. 278(C).
    21. Mahmoud Aref & Vladislav Oboskalov & Adel El-Shahat & Almoataz Y. Abdelaziz, 2023. "Modified Analytical Technique for Multi-Objective Optimal Placement of High-Level Renewable Energy Penetration Connected to Egyptian Power System," Mathematics, MDPI, vol. 11(4), pages 1-31, February.
    22. Wooyoung Jeon & Chul-Yong Lee, 2019. "Estimating the Cost of Solar Generation Uncertainty and the Impact of Collocated Energy Storage: The Case of Korea," Sustainability, MDPI, vol. 11(5), pages 1-18, March.

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