Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
