研究目的
To overcome challenges such as frequency oscillations, voltage variation, and power quality issues in integrating photovoltaic distributed generation into weak power systems by proposing a Current-Fed quasi Z-source Inverter as an alternative converter.
研究成果
The proposed Current-Fed quasi Z-source Inverter (CF-qZSI) is feasible for enhancing power quality in PV distributed generation systems, as validated by RTDS simulations. It effectively smooths power fluctuations, improves frequency and voltage stability, and reduces harmonic distortions, meeting grid code requirements with a 3.2 MVA device size. Future work should include hardware implementation.
研究不足
The actual implementation of the controller circuit is planned for future work, and the study relies on simulation rather than physical hardware. The RTDS simulation may not capture all real-world complexities, and the focus is on a specific 10 MW system, which may limit generalizability.
1：Experimental Design and Method Selection:
The study involves developing a detailed model of the CF-qZSI-based distribution controller (CqZDC) and its control system. It uses Real Time Digital Simulator (RTDS) for simulation to evaluate dynamic performance.
2：Sample Selection and Data Sources:
Actual field data collected by supervisory control and data acquisition (SCADA) from a previous study is used in simulations. The power system model includes a 10 MW solar farm connected to a weak distribution system.
3：List of Experimental Equipment and Materials:
RTDS simulation platform, SCADA data, CF-qZSI inverter with components like SiC-based MOSFETs and JBS diodes, LC-network, ESS (Energy Storage System), transformers, and various sensors for voltage and current measurements.
4：Experimental Procedures and Operational Workflow:
The RTDS is used to simulate the power system with embedded real data. The CqZDC is tested in different operation modes (e.g., active power smoothing, frequency deviation control) by adjusting control parameters and observing outputs like power, voltage, and frequency.
5：Data Analysis Methods:
Statistical linear regression analysis is used for power prediction. Simulation results are analyzed to assess improvements in power quality, frequency stability, and harmonic distortion.
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