An Enhanced Moth-Flame Optimization with Multiple Flame Guidance Mechanism for Parameter Extraction of Photovoltaic Models

How to accurately and efficiently extract photovoltaic (PV) model parameters is the primary problem of system optimization. To PV models, an enhanced moth-flame optimization (EMFO) with multiple flame guidance mechanism proposed in this study. In EMFO, adaptive number updating used adaptively control number, which enhances local global exploration capabilities MFO. Meanwhile, a designed for full use position information flames, diversity population. The EMFO evaluated other variants MFO on 25 benchmark functions CEC2005, 28 CEC2017, 5 parameter extraction problems. Experimental results show that has obtained better performance than compared algorithms, proves effectiveness EMFO. method study provides researchers ideas research making population information.