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arXiv · 2208.13682

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

Vladimir Toroa·Duvan Tellez-Castro·Eduardo Mojica-Nava·Naly Rakoto-Ravalontsalama
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Abstract

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.

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Vladimir Toroa, Duvan Tellez-Castro, Eduardo Mojica-Nava, Naly Rakoto-Ravalontsalama. 2022-08-29. Data-Driven Distributed Voltage Control for Microgrids: A Koopman-based Approach. https://arxiv.org/abs/2208.13682

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