Supervisory energy management strategy based-fuzzy logic for a DC microgrid
摘要
This research offers a novel supervisory fuzzy logic-based energy management technique (FL-EMT) for a DC microgrid including photovoltaic, wind energy, battery and supercapacitor. The suggested FLEMS’s major features are balanced power among sources, storage devices, and demand load, improve the flow rate, discharge, and charge cycles of energy storage devices and to enhance their lifespans furthermore enhanced the response dynamic of DC-link voltage under different conditions, variations of wind speed, temperature, and demand load changes. In FL-EMT, 27 scenarios propose to operating under three control mode: maximum power point tracking, load power tracking, and load power shedding. The FL-EMT design elements, including membership functions and rule bases, optimize to achieve a preset set of specifications for the behavior of the DC microgrid. By performing simulation studies utilizing an accurate model in MATLAB Simulink, it has been established that the FL-EMT proposed is effective in attaining the following results: effective power sharing, fast DC link voltage control in term of overshoot and stability, and keep the state of charge of HESS in their limitations.