Load frequency control using a NAS battery system controlled by a Kaiman filter

Abstract

Wind power is a flow of renewable energy currently in great demand around the world. Wind power can be difficult to utilize, however, due to large fluctuations in power output. Battery-based power control, such as the 34 MW NAS battery system recently installed at a wind farm in Japan, can alleviate this problem. We propose a control method for NaS battery system output that considers wind power variation. In the proposed method, a Kalman filter estimates power system state variables and uses the estimation to cancel load disturbances. To verify the utility of the proposed method, we perform LFC simulations that compare frequency deviations between the proposed and conventional methods.