研究目的
Investigating the feasibility and effectiveness of a dc-based open energy system (OES) for exchanging intermittent energy between houses in a local community to improve solar replacement ratio and reduce ac grid consumption.
研究成果
The study demonstrates the feasibility and effectiveness of a dc-based open energy system (OES) for improving the solar replacement ratio and reducing ac grid consumption through power interchange between houses. The concept's scalability and potential for future applications in remote or off-grid areas are highlighted, along with the need for further research on higher-level intelligent exchange strategies.
研究不足
The study is limited by the current setup's homogeneity and the practical feasibility of scaling up the system to include more heterogeneous subsystems and larger distances between houses, which may increase resistive losses and complexity in maintaining bus voltage stability.
1:Experimental Design and Method Selection:
The study involves the design and implementation of a dc-based open energy system (OES) that interconnects dc nanogrids in houses for energy exchange. The methodology includes the use of bidirectional dc–dc converters and a network controller for power exchange over an external dc power bus.
2:Sample Selection and Data Sources:
The study uses real-demand data for four houses from the real electricity demand annual database of 100 houses in Kyushu, Japan, and simulated solar power generation data.
3:List of Experimental Equipment and Materials:
The setup includes dc nanogrids with photovoltaic panels and batteries, bidirectional dc–dc converters, network controllers, dc breakers, dc power bus lines, and Ethernet LAN for communication.
4:Experimental Procedures and Operational Workflow:
The study involves setting up a physical model of a four-node OES, implementing power exchange strategies based on battery state of charge (SoC), and simulating the system to evaluate the solar replacement ratio.
5:Data Analysis Methods:
The study analyzes the effectiveness of the OES by comparing the solar replacement ratio across different system configurations and power exchange strategies.
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