研究目的
Investigating the implementation of a fault-recovery algorithm for solar cell arrays using memristor sensing to improve energy production efficiency.
研究成果
The proposed hardware implementation of a fault-repair scheme for photovoltaic arrays significantly improves energy production in the presence of faults by dynamically reconfiguring cell connections and activating spare cells. The solution is adaptable to arrays of any size and different types of solar cells, offering a promising approach for enhancing the reliability and efficiency of photovoltaic systems.
研究不足
The efficiency of the proposed approach is dependent on the position of faulty cells within the panel. The sorting algorithm's time complexity is quadratic with respect to the number of cells in a row, potentially limiting scalability for very large arrays.
1：Experimental Design and Method Selection:
The study employs a hardware implementation of a fault-recovery algorithm for solar cell arrays, utilizing memristor sensing to detect degraded performance in cells. The methodology includes a bottom-up approach to design a repair circuit that reconfigures connections among solar cells based on their health status.
2：Sample Selection and Data Sources:
The case study involves a 3x3 photovoltaic array extended with 6 spare cells, simulating various fault conditions to test the algorithm's effectiveness.
3：List of Experimental Equipment and Materials:
The setup includes photovoltaic cells, memristors for sensing, recon?gurable switches for interconnection adjustments, and bypass diodes for reverse voltage protection.
4：Experimental Procedures and Operational Workflow:
The process involves detecting faulty cells using memristor sensing, sorting cells based on their health status, and reconfiguring the array connections to optimize energy production. Spare cells are activated as needed to replace degraded cells.
5：Data Analysis Methods:
The performance of the array before and after reconfiguration is compared through SPICE simulations to measure the increase in energy production.
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