研究目的
To improve the stability and economy of roof photovoltaic system by proposing a boundary frequency algorithm to determine the frequency of photovoltaic power generation and constructing a roof photovoltaic-hybrid energy storage control model based on household load.
研究成果
The study concludes that the combination of rooftop photovoltaic and real-time price can bring more benefits to users. The proposed model and control strategy effectively improve the economic benefits of users.
研究不足
The study does not discuss the scalability of the proposed model to larger systems or different types of households. It also does not address potential issues with the real-time implementation of the control strategy.
1：Experimental Design and Method Selection:
The study uses Hilbert-Huang transform (HHT) to obtain the frequency distribution of photovoltaic power and proposes a boundary frequency algorithm. It constructs a roof photovoltaic-hybrid energy storage control model based on household load and solves the model using LINGO software.
2：Sample Selection and Data Sources:
The study uses typical household seasons—energy consumption data and photovoltaic cell specifications and other parameters.
3：List of Experimental Equipment and Materials:
Photovoltaic equipment, rectifier inverter equipment, and hybrid energy storage equipment (batteries and supercapacitors).
4：Experimental Procedures and Operational Workflow:
The study involves setting the dividing frequency, step size, and iteration stop threshold, then using HHT transformation to obtain the Hilbert spectrum of the original signal. It also involves using a Butterworth low-pass filter to divide the original signal into high-frequency and low-frequency components.
5：Data Analysis Methods:
The study uses LINGO software to solve the mathematical model and analyze the data.
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