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Fuzzy adaptive Kalman filter for wind power output smoothing with battery energy storage system

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1 Author(s)
X. Li ; Electrical Engineering and New Material Department, China Electric Power Research Institute, Beijing, People's Republic of China

The energy storage system (ESS) is the current, widely popular means of smoothing intermittent wind power (WP) generation to regulate output power uncertainty in a wind power generation system (WPGS). This study presents a novel Kalman filter (KF) application method for smoothing the power-output fluctuation of a WPGS based on a battery energy storage system (BESS). A fuzzy logic control method was added to a first-order KF with feedback control of the battery state of charge (SOC). On this basis, the smoothing power output of the hybrid wind/battery power system could be adaptively regulated based on the SOC, and consequently, the battery SOC could be effectively managed according to the charge- and WP-output levels. The effectiveness of the proposed control strategy based on the fuzzy adaptive KF was verified using MATLAB/SIMULINK software and simulation tests.

Published in:

IET Renewable Power Generation  (Volume:6 ,  Issue: 5 )