Multi-criteria decision analysis for the planning of island microgrid system: A case study of Yongxing island, China

Huiying Miao, Yadong Yu, Ali Kharrazi and Tieju Ma

Energy, 2023, vol. 284, issue C

Abstract: Remote island communities often struggle to meet energy needs affordably, sustainably, and reliably. Island microgrid (IM) systems offer a promising solution; however, optimal planning considering diverse components and alternatives remains challenging. Using China's Yongxing Island as a case study, we propose a novel indicator system integrating economic, resilience, energy, and environmental dimensions. The indicator system is integrated with the HOMER Pro software and the reference point method to identify the optimal energy configuration of Yongxing Island's IM system. Moreover, a comprehensive uncertainty analysis is conducted on the optimal configuration to reveal how optimal configuration results change relative to changes in energy demand, energy prices, and investment costs of technologies and to demonstrate how the system would cope with disturbance. To meet Yongxing Island's 2030 energy demand (including electricity, thermal, and hydrogen), the best energy configuration scheme for the microgrid is the combination of photovoltaic panels, wind turbines, diesel generators, energy storage batteries, external grid, electrolyzers, diesel reformers, hydrogen tanks, thermal load controllers, boilers, and power converters. Moreover, wind turbines dominate power supply and would change the sizing and hourly power generation under uncertainties. Thermal demand relies on thermal load controllers, while electrolyzers and diesel reformers address hydrogen demand.

Keywords: island microgrid; Energy system resilience; HOMER pro; Multi-criteria decision making; reference point method (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:284:y:2023:i:c:s0360544223026580

DOI: 10.1016/j.energy.2023.129264

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