研究目的
To present a robust extended complex Kalman Filter (RECKF) based control for a multifunctional double stage grid-connected solar photovoltaic array (SPVA) system to improve power quality, handle polluted grid conditions, and optimize performance.
研究成果
The RECKF-based control strategy effectively improves power quality in grid-connected SPVA systems under various abnormal grid conditions, with THDs within IEEE standards. It offers robust performance, adaptive DC link voltage control, and optimized PI tuning via RCPSO.
研究不足
The paper does not explicitly mention specific limitations, but potential areas could include the complexity of the RECKF implementation, sensitivity to initial conditions, and the need for high computational resources for real-time processing.
1:Experimental Design and Method Selection:
The study uses a RECKF-based control algorithm for a grid-connected SPVA system, incorporating SPVA feed-forward terms and RCPSO for PI controller tuning. Simulation and experimental validation are conducted.
2:Sample Selection and Data Sources:
A double-stage SPVA system is modeled in MATLAB with Simpower toolbox, and an experimental prototype is built in the laboratory.
3:List of Experimental Equipment and Materials:
Includes solar PV simulator (AMETEK ETS 600/17), current sensors (LV-55A), voltage sensors (LV-25V), optocouplers, dSPACE MicroLabBox (DS-1202), power analyzer (Fluke-43B), digital storage oscilloscope (Agilent-7014A), VSC, boost converter, interfacing inductors, DC link capacitor, SPVA, and nonlinear loads.
4:Experimental Procedures and Operational Workflow:
The system is simulated and tested under various conditions like load imbalancing, voltage variations, and solar insolation changes. Control signals are processed through dSPACE for real-time implementation.
5:Data Analysis Methods:
Performance is evaluated using THD measurements, power analysis, and dynamic response tracking through simulation and experimental data.
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