Self-tuning virtual synchronous generator control for improving frequency stability in autonomous photovoltaic-diesel microgrids

Self-tuning virtual synchronous generator control for improving frequency stability in autonomous photovoltaic-diesel microgrids

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Abstract This paper investigates the use of a virtual synchronous generator (VSG) to improve frequency stability in an autonomous photovoltaic-diesel microgrid with energy storage.VSG control is designed to emulate inertial response and damping power via power injection from/to case of caymus the energy storage system.The effect of a VSG with constant parameters (CP-VSG) on the system frequency is analyzed.

Based on the case study, self-tuning algorithms are used to search for optimal parameters during the operation of the VSG in order nutrafin betta enviro-clean how to use to minimize the amplitude and rate of change of the frequency variations.The performances of the proposed self-tuning (ST)-VSG, the frequency droop method, and the CP-VSG are evaluated by comparing their effects on attenuating frequency variations under load variations.For both simulated and experimental cases, the ST-VSG was found to be more efficient than the other two methods in improving frequency stability.