研究目的
To minimize the electricity cost by managing the energy penetration from the PV-battery system to the grid using a fuzzy logic controller.
研究成果
The fuzzy logic controller effectively minimizes electricity costs in a grid-connected PV-battery system by optimizing the operation of controllable loads based on PV power availability and battery state of charge. Future work includes extending the approach to larger systems and real-world implementation.
研究不足
The study is limited to simulation results without real-world implementation. The approach may need adaptation for larger and more complex systems.
1：Experimental Design and Method Selection:
The study employs a fuzzy logic controller in a distributed scheme for energy management in a grid-connected PV-battery system.
2：Sample Selection and Data Sources:
Simulation is conducted using MATLAB Simulink with predefined load profiles and PV power scenarios.
3：List of Experimental Equipment and Materials:
The system includes a grid, PV-battery system, grid-tie inverter, loads (refrigerator, lighting, washing machine, iron, fan, TV), and power switches.
4：Experimental Procedures and Operational Workflow:
The fuzzy logic controller determines the operation times of controllable loads based on PV power availability, battery state of charge, and total load power consumption.
5：Data Analysis Methods:
The effectiveness of the fuzzy logic controller is evaluated by comparing electricity costs with and without the controller across three PV power scenarios.
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