Litcius/Paper detail

Robustness Optimization Through Modified Linear Active Disturbance Rejection Control for High-Voltage Load Interface in Microgrid

Long Tao, Ping Wang, Xiaoyong Ma, Yifeng Wang, Huaidong Shi

2022IEEE Transactions on Industrial Electronics33 citationsDOI

Abstract

In a microgrid, the development and utilization of renewable energy generations are usually completed by dc–dc interface converters. Nonetheless, it is difficult to continuously output high-quality electrical energy under various uncertain interferences. With this, in this article, a modified linear active disturbance rejection control scheme is proposed to handle these deficiencies. In this scheme, a correction function is introduced to cope with the overall disturbance reconstruction deviation so as to realize the timely and accurate estimation. The proposed strategy is able to treat the unknown dynamics and the external disturbance as the overall disturbance through a single structure, alongside the plant is regulated by an improved control law with reference-signal differential feedforward to optimize the traceability for the reference signal. Through performance analysis, the difference between the proposed scheme and the conventional one is discussed. Additionally, the correspondence between controller parameters and operation characteristics is analyzed theoretically so as to provide guidance for parameters adjustment. Finally, a 40-kW test platform is built, and experimental results are presented to verify the significance and correctness of the proposed approach.

Topics & Concepts

Control theory (sociology)MicrogridRobustness (evolution)Feed forwardConvertersActive disturbance rejection controlControl engineeringComputer scienceDisturbance (geology)Robust controlEngineeringVoltageControl systemControl (management)Nonlinear systemElectrical engineeringPaleontologyChemistryBiochemistryPhysicsBiologyQuantum mechanicsGeneArtificial intelligenceState observerMicrogrid Control and OptimizationSmart Grid Energy ManagementFrequency Control in Power Systems