研究目的
To develop and validate a controller-hardware-in-the-loop (CHIL) testbed for verifying low-level and advanced inverter controls for fast-switching wide bandgap-based photovoltaic inverters, addressing the challenges of high cost and high switching speeds.
研究成果
The developed CHIL testbed provides a reliable platform for debugging and verifying complex inverter controls for fast-switching SiC-based inverters, with results closely matching experimental outcomes. It enables risk-free testing and reduces the design development cycle, offering a robust method for future control development in power electronics.
研究不足
The CHIL testbed has inaccuracies in loss modeling, such as excluding core losses in AC filters and losses from thermal management systems and controller boards, which can lead to discrepancies in efficiency calculations. It is optimized for switching frequencies up to 50 kHz but may not capture all real-world dynamics.
1：Experimental Design and Method Selection:
The CHIL testbed uses an FPGA real-time simulator to model the inverter and grid, interfaced with a controller hardware (SBRIO) to test control algorithms. The design rationale is to enable accurate validation of fast-switching controls without risking hardware damage.
2：Sample Selection and Data Sources:
The testbed models a three-phase, 50-kW, 480-VLLrms SiC-based PV inverter. Data sources include simulated waveforms from the Opal-RT simulator and experimental data from a physical inverter setup.
3：List of Experimental Equipment and Materials:
Includes NI SBRIO (NI 9607) controller, Opal-RT OP5607 FPGA expansion unit with Xilinx Virtex VII FPGA, Ametek RS90 grid simulator, and various sensors and scopes for measurement.
4：Experimental Procedures and Operational Workflow:
The inverter model is implemented on the OP5607 at a 500-ns time step. Control algorithms are programmed on the SBRIO in LabVIEW FPGA and real-time layers. Tests include closed-loop current control, VVAR, VWATT, FWATT, and voltage ride-through functions, with comparisons to experimental results.
5：Data Analysis Methods:
Data is analyzed using oscilloscopes and software tools to measure parameters like harmonic distortion, RMS current, efficiency, and response times, with statistical comparisons between CHIL and experimental results.
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