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Transmission Network Expansion Planning with High-Penetration Solar Energy Using Particle Swarm Optimization in Lao PDR toward 2030

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  • Thongsavanh Keokhoungning

    (Faculty of Interdisciplinary Studied, Department of Technology and Engineering, Khon Kaen University, Nong Khai Campus, Nongkhai 43000, Thailand)

  • Suttichai Premrudeepreechacharn

    (Faculty of Engineering, Department of Electrical Engineering, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Wullapa Wongsinlatam

    (Faculty of Interdisciplinary Studied, Department of Technology and Engineering, Khon Kaen University, Nong Khai Campus, Nongkhai 43000, Thailand)

  • Ariya Namvong

    (Faculty of Interdisciplinary Studied, Department of Technology and Engineering, Khon Kaen University, Nong Khai Campus, Nongkhai 43000, Thailand)

  • Tawun Remsungnen

    (Faculty of Interdisciplinary Studied, Department of Technology and Engineering, Khon Kaen University, Nong Khai Campus, Nongkhai 43000, Thailand)

  • Nongram Mueanrit

    (Faculty of Interdisciplinary Studied, Department of Technology and Engineering, Khon Kaen University, Nong Khai Campus, Nongkhai 43000, Thailand)

  • Kanda Sorn-in

    (Faculty of Interdisciplinary Studied, Department of Technology and Engineering, Khon Kaen University, Nong Khai Campus, Nongkhai 43000, Thailand)

  • Satit Kravenkit

    (Faculty of Interdisciplinary Studied, Department of Technology and Engineering, Khon Kaen University, Nong Khai Campus, Nongkhai 43000, Thailand)

  • Apirat Siritaratiwat

    (Faculty of Engineering, Department of Electrical Engineering, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Chavis Srichan

    (Faculty of Engineering, Department of Computer Engineering, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Sirote Khunkitti

    (Faculty of Engineering, Department of Electrical Engineering, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Chayada Surawanitkun

    (Faculty of Interdisciplinary Studied, Department of Technology and Engineering, Khon Kaen University, Nong Khai Campus, Nongkhai 43000, Thailand)

Abstract

The complexity and uncertainty of power sources connected to transmission networks need to be considered. Planners need information on the sustainability and economics of transmission network expansion planning (TNEP). This work presents a newly proposed method for TNEP that considers high-penetration solar energy by using the particle swarm optimization (PSO) algorithm. The power sources, thermal and hydropower plants, and conditions of load were set in the account, including an uncertain power source and solar energy (PV). The optimal sizing and locating of the PV to be connected to the network were determined by the PSO. The PV grid code was set in the account. The new line’s investment cost and equipment was analyzed. The PV cost was considered based on the power loss, and the system’s reliability was improved. The IEEE 118 bus test system and Lao PDR’s system were requested to test the proposed practice. The results demonstrate that the proposed TNEP method is robust and feasible. The simulation results will be applied to guide the power system planning of Lao PDR.

Suggested Citation

  • Thongsavanh Keokhoungning & Suttichai Premrudeepreechacharn & Wullapa Wongsinlatam & Ariya Namvong & Tawun Remsungnen & Nongram Mueanrit & Kanda Sorn-in & Satit Kravenkit & Apirat Siritaratiwat & Chav, 2022. "Transmission Network Expansion Planning with High-Penetration Solar Energy Using Particle Swarm Optimization in Lao PDR toward 2030," Energies, MDPI, vol. 15(22), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8359-:d:967459
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    References listed on IDEAS

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    Cited by:

    1. Thongsavanh Keokhoungning & Wullapa Wongsinlatam & Tawun Remsungnen & Ariya Namvong & Sirote Khunkitti & Bounmy Inthakesone & Apirat Siritaratiwat & Suttichai Premrudeepreechacharn & Chayada Surawanit, 2023. "Challenge of Supplying Power with Renewable Energy Due to the Impact of COVID-19 on Power Demands in the Lao PDR: Analysis Using Metaheuristic Optimization," Sustainability, MDPI, vol. 15(8), pages 1-16, April.

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