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We propose a novel indicator system to evaluate island microgrid's performance. We identify the optimal energy configuration by HOMER and reference point method. Uncertainty analysis is conducted to the optimal energy configuration. Wind power dominates the power generation of Yongxing Island's microgrid.
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.
In this paper, we propose a novel resilience-oriented energy and load management framework for island microgrids, integrating a multi-objective optimization function that explicitly minimizes load curtailment, energy losses, voltage deviations, emissions, and energy procurement costs while maximizing the utilization of renewable energy sources.
Microgrids are an important solution to tackle the energy challenges of islands. Yongxing Island has a tropical monsoon climate with long annual sunshine hours and is surrounded by a vast sea area, making it suitable for utilizing solar, wind, and wave energy power generation technologies.