研究目的
To develop a systematic method to calculate the optimal ratio between PV panel and inverter to absorb the maximum possible power with an optimal cost for grid-connected PV systems, considering local climate conditions and voltage systems.
研究成果
The developed method effectively determines the optimal PV-to-inverter power ratio for different geographical regions, minimizing cost while maximizing power extraction. The 1500 V system is found to be superior to the 1000 V system, requiring a lower PV array size and being more economical, especially without the need for a boost transformer in some cases.
研究不足
The method relies on annual data and does not account for seasonal variations in weather, which could affect optimal sizing. It assumes fixed PV panel installation and does not consider dynamic changes. The simulations are based on specific transformer and inverter models, and results may vary with different equipment.
1：Experimental Design and Method Selection:
The study uses a systematic method based on annual irradiance and temperature data to model PV power curves and optimize the PV-to-inverter ratio. It involves simulations in SAM and MATLAB environments to analyze power extraction under different weather conditions and inverter sizes.
2：Sample Selection and Data Sources:
Annual hourly irradiance and temperature data for four US states (Wisconsin, Arizona, Washington, Tennessee) with diverse climates are sourced from the Solar Advisor Model (SAM).
3：List of Experimental Equipment and Materials:
PV panels, inverters, transformers (e.g., 240:480, 380:480, 480:480 ratios), and simulation software (SAM, MATLAB).
4：Experimental Procedures and Operational Workflow:
For each state, PV power curves are generated using equations (1)-(7). The flowchart in Figure 2 categorizes operation modes (Current Limit, MPP, Voltage Limit, None Extractable) based on weather data. Cumulative time and power are calculated annually. The cost function is optimized by varying inverter sizes and transformer ratios.
5：7). The flowchart in Figure 2 categorizes operation modes (Current Limit, MPP, Voltage Limit, None Extractable) based on weather data. Cumulative time and power are calculated annually. The cost function is optimized by varying inverter sizes and transformer ratios.
Data Analysis Methods:
5. Data Analysis Methods: Data is analyzed to compute cumulative power and time percentages, transferable power, and cost per power. Optimization is performed to find the minimum cost over power ratio.
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