Model Predictive Controller Based Virtual Inertia Controller for Enhancing the Frequency Stability of Microgrid

The power system network is getting integrated with a large number of renewable energy resources with the help of power electronics, which reduces the total inertia and the frequency stability of the network. The employment of virtual inertia controllers with the help of power electronic converters, energy storage systems, and modern control systems address this problem. A model predictive controller can be used for this purpose, which has the abilities of future predictions of the perturbations in the network, rapid dynamic reaction, and robustness to disruption and uncertainty. Model predictive controller-based virtual inertia controller is designed to emulate suitable inertial power into the network using a feed-forward regulation technique to eliminate the disturbance from load changes and renewable energy penetration. The performance of the proposed controller is validated using simulations under various transient conditions, for a single area power system having large penetration of renewable energy sources.