Joint Energy Scheduling for Isolated Islands Considering Low-Density Periods of Renewable Energy Production

Feng Gao, Hanli Weng, Xiangning Lin () and Diaa-Eldin A. Mansour
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Feng Gao: College of Electrical and New Energy, China Three Gorges University, Yichang 443002, China
Hanli Weng: College of Electrical and New Energy, China Three Gorges University, Yichang 443002, China
Xiangning Lin: College of Electrical and New Energy, China Three Gorges University, Yichang 443002, China
Diaa-Eldin A. Mansour: Department of Electrical Power and Machines Engineering, Faculty of Engineering, Tanta University, Tanta 31511, Gharbia, Egypt

Energies, 2025, vol. 18, issue 21, 1-24

Abstract: In view of the special dispatching demands of isolated islands in low-density periods of renewable energy power generation, the defects of the traditional dispatching mode when applied to isolated power generation systems are analyzed, and the idea of reasonably extending the daily scheduling cycle is proposed to adapt to the application of flexible energy resources in the form of energy packages under various uncertain scenarios. Under the multi-party cooperative power supply strategy for isolated islands, we analyze the shortcomings of key element modeling. A global optimal model of energy scheduling for isolated islands considering low-density energy output periods is constructed based on a refined element model, and a corresponding solution is proposed for the nonlinear constraints. The reasonability and effectiveness of the refined model, the global optimal model, and the assumption of an extended scheduling cycle are verified by theoretical analysis and case simulation.

Keywords: isolated islands; low-density renewable energy output; joint energy scheduling; refined modeling; scheduling cycle (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: 2025
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