研究目的
To address the dynamic modeling and control of a PV/batteries/ultra-capacitor hybrid energy system for powering a remote house during winter, using P&O MPPT and PI controls to manage energy storage and stabilize DC bus voltage.
研究成果
The hybrid energy system with P&O MPPT and PI controls effectively manages power flow, stabilizes DC bus voltage, and handles load variations during a snowy winter day. The battery compensates for energy deficits, while the ultra-capacitor addresses fast transients. Simulations confirm good performance, but further validation with real-world data and consideration of summer scenarios are needed for comprehensive analysis.
研究不足
The study is based on simulations using Matlab/Simulink, which may not fully capture real-world conditions and uncertainties. The system is specific to a winter day in a remote location, and results may vary with seasonal changes or different geographical areas. The control strategies are classical (P&O and PI), which might have limitations in handling highly dynamic conditions compared to advanced algorithms.
1：Experimental Design and Method Selection:
The study involves modeling a hybrid energy system with PV array, batteries, and ultra-capacitors connected to a DC load. The P&O MPPT algorithm is used for maximum power extraction from the PV array, and PI controllers are employed for regulating DC bus voltage and controlling battery and ultra-capacitor currents. The system is designed to handle variable renewable energy sources and load fluctuations.
2：Sample Selection and Data Sources:
The system is simulated for a remote house in Rouyn Noranda, Quebec, Canada, during a snowy winter day. Data includes irradiation and temperature variations, and load profiles based on typical house usage.
3：List of Experimental Equipment and Materials:
PV array (ARCO M75 modules), batteries (12V each, configured in series), ultra-capacitors (165F rated), DC/DC converters (boost and bidirectional buck-boost), and DC loads. Software: Matlab/Simulink for simulation.
4：Experimental Procedures and Operational Workflow:
The PV array is modeled using a single-diode model with parameters estimated via maximum likelihood estimator. MPPT control adjusts the duty cycle of the boost converter. ESS control involves switching between charging and discharging modes based on DC voltage feedback. Simulations run from 00 AM to 3 PM with varying irradiation and temperature.
5：Data Analysis Methods:
Performance is analyzed through simulation results in Matlab/Simulink, evaluating voltage regulation, power extraction, and response to load variations using graphical plots and comparative analysis.
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