4.7 Article

Dynamic modeling and experimental validation of a standalone hybrid microgrid system in Fukuoka, Japan

期刊

ENERGY CONVERSION AND MANAGEMENT
卷 274, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.enconman.2022.116462

关键词

Hybrid Renewable Energy System; Off -grid Microgrid; Indoor Experimental System; Power Simulation; Power Control

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This study presents the dynamic modeling and simulation of an off-grid DC microgrid system, and validates the model through real-time experiments. The results show that the microgrid system can effectively meet the load under different meteorological conditions, with a high sufficiency factor.
Microgrids are essential for creating next-generation energy systems because they allow loads, energy storage systems (ESS), and distributed energy resources (DER) to be efficiently and seamlessly integrated. This study presents the dynamic modeling and simulation of an off-grid direct current (DC) microgrid consisting of the photovoltaic (PV) panel, wind turbine, battery, and a DC load incorporating simple, comprehensible, and well -established component-based power control strategies for quality power output. In addition, the main emphasis is on the real-time experimental validation of the dynamic simulation model achieved by designing and devel-oping an indoor test system architecture. A 48-hourly meteorological dataset from Fukuoka, Japan, was used to validate the developed model. The results show a reasonable range of Root-mean-square deviation (RMSE), suggesting that the simulation model can precisely depict the model the dynamic operation of a hybrid DC microgrid system. Furthermore, detailed scenario analysis for sunny, windy, rainy, and cloudy considering real-time meteorological conditions for 72 h of simulation reveals that the proposed microgrid system can effectively meet the load in any situation with a sufficiency factor above 1, making it a self-sustaining hybrid renewable microgrid for residential areas in Japan. The study highlights the significance of understanding microgrid operation energy management with actual implementation.

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