研究目的
To propose the Water Cycle Algorithm (WCA) as a new optimization technique for large PV array reconfiguration to reduce partial shading (PS) power losses.
研究成果
The Water Cycle Algorithm (WCA) has been successfully applied to optimally reconfigure PV arrays for reducing partial shading losses. The WCA demonstrated faster execution times compared to traditional methods, making it suitable for larger PV arrays in real-time applications. The algorithm effectively minimized the irradiance level mismatch index, leading to significant improvements in power output under various partial shading conditions.
研究不足
The study focuses on the application of WCA for PV array reconfiguration under partial shading conditions. The effectiveness of the algorithm is demonstrated through simulation, and real-world implementation challenges such as the physical reconfiguration of PV arrays and the scalability of the algorithm for very large arrays are not addressed.
1：Experimental Design and Method Selection:
The study employs the Water Cycle Algorithm (WCA) for optimizing the reconfiguration of PV arrays to minimize power losses due to partial shading. The WCA is a meta-heuristic physics-based optimization technique inspired by the water cycle process.
2：Sample Selection and Data Sources:
A PV array of 10 x 10 solar modules with electrical characteristics is used for simulation under various partial shading conditions.
3：List of Experimental Equipment and Materials:
Shell PowerMax Ultra SQ85-P solar modules are used for simulation. The simulation is performed using an Intel(R) Core(TM) i7-3630QM CPU @ 2.4GHz Processor, 8 GB RAM, 64-bit operating system, PC.
4：4GHz Processor, 8 GB RAM, 64-bit operating system, PC.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The WCA is applied to minimize the objective function (Irradiance level Mismatch Index, IMI) by reconfiguring the PV modules under different partial shading scenarios (single row, double rows, quarter array, and half array shading).
5：Data Analysis Methods:
The performance of the PV array before and after applying WCA is compared in terms of maximum power point and execution time.
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