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

Thongsavanh Keokhoungning, Suttichai Premrudeepreechacharn, Wullapa Wongsinlatam, Ariya Namvong, Tawun Remsungnen, Nongram Mueanrit, Kanda Sorn-in, Satit Kravenkit, Apirat Siritaratiwat, Chavis Srichan, Sirote Khunkitti and Chayada Surawanitkun
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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

Energies, 2022, vol. 15, issue 22, 1-19

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.

Keywords: transmission network expansion planning; solar energy; renewable power generation; optimization; reliability (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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