Fuzzy-based Adaptive Virtual Inertia Control to Improve Frequency Responses with Less Energy

The generation of electricity is transitioning away from fossil fuels and toward renewable energy. Power electronics dominated power systems, resulting in low-inertia grids. Virtual inertia control strategies have been developed to compensate for lacking inertia. The conventional controller, however, is not adjustable to diverse system dynamics due to the fixed gain of inertia. A fuzzy-based adaptive virtual inertia controller is proposed in this study by focusing on grid frequency responses and energy consumption of energy storage. The controller is tested using a major disturbance, such as a big load shift. The results reveal that an adaptive gain of inertia help improves frequency response while consuming less energy than a fixed inertia gain.