Energy Storage System Control for Prevention of Transient Under-Frequency Load Shedding

This paper proposes and evaluates a systematic method for controlling an energy storage system for preventing load shedding due to transient declines in frequency. The proposed controller works on local measurements and uses an extended Kalman filter to perform online identification of system parameters. These results are then used to implement a model predictive controller for the safe withdrawal of support and energy recovery, both without incurring transient load shedding. The formulation accounts for single generator outages and includes power system parameters such as inertia, damping, and droop. The proposed method is evaluated using the non-linear simulations of 6-bus and 24-bus test systems known as Roy Billinton Test System (RBTS) and IEEE Reliability Test System. The results show that the proposed controller is effective in preventing transient load shedding.