EPE 2022 - LS3e: Control of Grid and Microgrids Connected Inverters | ||
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![]() | An Overview of Grid-Connection Requirements for Converters and Their Impact on Grid-Forming Control
By Paul IMGART | |
Abstract: The increasing share of converters in the power system results in the need to revise grid-connection requirements and a shift in converter control strategies towards grid-forming control. This paper analyzes and compares existing standards and future trends in specifications for grid-connected converters and highlights commonalities and differences. The key consequences for converter control performance requirements are presented to facilitate the selection of the most suitable grid-forming control structures.
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![]() | Model Reduction using Singular Perturbation Methods for a Microgrid Application
By Lasse GNÄRIG | |
Abstract: The paper deals with the modeling of an island grid for the purpose of simulation. Since the behavior of the system is affected by phenomena taking influence in different time-scales, a model reduction scheme is proposed that leads to simpler models which reduce the computational burden in simulations. Compromises in the modeling procedure are addressed by investigating simulation studies.
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![]() | Universal Real-Time Model for Active Rectifiers in Versatile Totem-Pole PFC Configurations
By Axel KIFFE | |
Abstract: On-board chargers in electric vehicles often include a totem-pole PFC, as this compact active rectifier provides bidirectional energy flow and can be easily adapted to single-phase or three-phase grid operation. To test its control unit in terms of HIL simulations, a real-time capable model of the topology is required. This paper deals with the modeling and realization of a universal real-time model for versatile totem-pole configurations in single-phase or three-phase grid operation.The proposed model uses the ideal switch representation. An extended approach to detect switch-state changes caused by Dirac impulses is introduced. Additional focus is placed on the implementation of the final model on an FPGA. Simulation results prove the validity of the proposed model.
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