研究目的
Investigating the impact of injected signal cancellation on active islanding detection methods in multi-photovoltaic systems and proposing a solution to eliminate this issue.
研究成果
The improved islanding detection method based on the proposed solution effectively eliminates the injected signal cancellation in multi-photovoltaic systems, as validated through mathematical explanations and simulation results. The method can detect the islanding phenomenon within a short time frame in various scenarios, including two-PV, three-PV, four-PV, and eight-PV operations.
研究不足
The study focuses on the DC grid-connected photovoltaic system and the cancellation issue in multi-PV operation. The solution's effectiveness is verified through simulation, but real-world application and scalability to larger systems may require further investigation.
1：Experimental Design and Method Selection:
The study analyzes the cancellation issue by injecting a perturbation signal in a multi-photovoltaic system and proposes a solution to eliminate the injected signal cancellation. The methodology includes mathematical explanations and simulation results validation.
2：Sample Selection and Data Sources:
The system under analysis consists of a 100 kW PV array, output capacitor C, DC/DC converter with maximum power point tracking (MPPT), and islanding detection program. The DC load is shown as an equivalent resistance and the DC bus is modeled as a constant voltage source.
3：List of Experimental Equipment and Materials:
PV module specifications are listed, including open circuit voltage, short circuit current, voltage at maximum power point, current at maximum power point, maximum power, parallel strings, and series-connected modules per string.
4：Experimental Procedures and Operational Workflow:
The simulation is performed with the perturbation signal injected at 0.4 s after system startup and the islanding event activated at 1.2 s after system startup by disconnecting the AC grid.
5：4 s after system startup and the islanding event activated at 2 s after system startup by disconnecting the AC grid.
Data Analysis Methods:
5. Data Analysis Methods: The study uses mathematical explanations and simulation results to validate the proposed solution.
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