  Nowadays, power imbalance happens more frequently due to the more integration
of renewable energy sources. Energy storage is a kind of devices that can
charge energy at one time and discharge energy at another time. This function
makes that storage is widely envolved into promoting power balance of power
system. Besides this function, storage can also emulate virtual inertia to
respond to frequency deviations in the system. This work provides a generalized
optimization framework to analyze how to control power and virtual inertia from
storage to participate in frequency response when a large disturbance happens.
Centralized and distributed model predictive control is employed here, and case
study verifies the effectiveness of our optimization framework.
