Parameters Extraction of Photovoltaic Models Using an Improved Moth-Flame Optimization

Huawen Sheng, Chunquan Li, Hanming Wang, Zeyuan Yan, Yin Xiong, Zhenting Cao and Qianying Kuang
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Huawen Sheng: School of Information Engineering, Nanchang University, Nanchang 330029, China
Chunquan Li: School of Information Engineering, Nanchang University, Nanchang 330029, China
Hanming Wang: School of Information Engineering, Nanchang University, Nanchang 330029, China
Zeyuan Yan: School of Information Engineering, Nanchang University, Nanchang 330029, China
Yin Xiong: School of Information Engineering, Nanchang University, Nanchang 330029, China
Zhenting Cao: School of Information Engineering, Nanchang University, Nanchang 330029, China
Qianying Kuang: School of Information Engineering, Nanchang University, Nanchang 330029, China

Energies, 2019, vol. 12, issue 18, 1-23

Abstract: Photovoltaic (PV) models’ parameter extraction with the tested current-voltage values is vital for the optimization, control, and evaluation of the PV systems. To reliably and accurately extract their parameters, this paper presents one improved moths-flames optimization (IMFO) method. In the IMFO, a double flames generation (DFG) strategy is proposed to generate two different types of target flames for guiding the flying of moths. Furthermore, two different update strategies are developed for updating the positions of moths. To greatly balance the exploitation and exploration, we adopt a probability to rationally select one of the two update strategies for each moth at each iteration. The proposed IMFO is used to distinguish the parameter of three test PV models including single diode model (SDM), double diode model (DDM), and PV module model (PMM). The results indicate that, compared with other well-established methods, the proposed IMFO can obtain an extremely promising performance.

Keywords: moth-flame optimization; parameter extraction; photovoltaic model; double flames generation (DFG) strategy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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