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Kalman filter-based power compensation strategy for Microgrids under uncertain disturbance

descriptionPublicationkeyboard_double_arrow_right Conference object , Contribution for newspaper or weekly magazine 05 Sep 2022 Denmark Publisher:IEEEJournal:2022 International Conference on Smart Energy Systems and Technologies (SEST)

Authors: Wu, Jingxuan; Guerrero, Josep M.; Basati, Amir; Vasquez, Juan C.; Li, Shuting;

doi: 10.1109/sest53650.2022.9898466

Kalman filter-based power compensation strategy for Microgrids under uncertain disturbance

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Abstract

The measurement and model errors always exist in the sample or data analysis part of Microgrids (MGs) system, bringing oscillation and inaccuracy to the controller and energy management system (EMS). This paper proposed a Kalmanfilter (KF)-based control strategy for the battery energy storage system (BESS) in MGs with integrated renewable energy sources. The control scheme aims at minimizing the active and reactive power purchased from the main grid by regulating the output current of BESS. A detailed model of a wind-PV-batteryMG is built, and the sampling and measurement inaccuracy is considered. The control strategy is tested under rapid power supply oscillation and load changes, and the results show good performance.

Country

Denmark

Related Organizations

Aalborg University Library (AUB) Aalborg Universitet Research Portal
Denmark
Aalborg University Library (AUB)
Denmark
Aalborg University Library (AUB)
Denmark
Aalborg University
Denmark

Keywords

Kalman filter (KF), Battery Energy Storage, Renewable, Microgird

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