Data-Driven Control of Converters in DC Microgrids for Bus Voltage Regulation

This paper investigates the applicability of a Data-Driven Control (DDC) approach for power electronic converters in DC microgrids to stabilize the bus voltage under large perturbations from connection/disconnection of converters. In DC microgrids, loads and generators are interfaced through power electronic converters. When tightly regulated, these loads exhibit a constant power load (CPL) behavior. CPLs have negative incremental impedance behavior which may lead to system instability. The DDC approach is applied to an MVDC microgrid and compared with a model-based non-linear controller; specifically, the Linearizing State Feedback (LSF), that was previously investigated by the authors and is used here as benchmark. Both control techniques act on the interface converters at the generator side. The results of the simulation cases show that the DDC approach has a good performance for bus voltage regulation under system reconfigurations. As opposed to the LSF controller, the DDC does not require accurate analytical models, or exchange of information among converters.