Data-Driven Distributed Voltage Control for Microgrids: A Koopman-based Approach

This paper presents a distributed data-driven control to regulate the voltage in an alternate current microgrid (MG). Following the hierarchical control frame for MGs, a secondary control for voltage is designed with a data-driven strategy using the Koopman operator. The Koopman operator approach represents the nonlinear behavior of voltage as a linear problem in the space of observables or lifted space. The representation in the lifted space is used together with linear consensus to design a model predictive control (MPC). The complete algorithm is proved in an MG model including changes in load, transmission lines, and the communication graph. The data-driven model regulates voltage using a distributed approach based only on local measurements, and includes reactive power constraints and control cost minimization.
Title: This paper is an extention of previos results of another article that uses koopman for the MGs control Authors: Vladimir Toroa, Duvan Tellez-Castro, Eduardo Mojica-Nava, Naly Rakoto-Ravalontsalama Comments: 13 pages, 21 This paper uses the Koopman operator to identify an alternate current MG, the uses a linear predictor for MPC design