Parameter Extraction of Photovoltaic Models Based on Adaptive Differential Evolution Algorithm
[1]Li ShuijiaGong Wenxi.Parameter Extraction of Photovoltaic Models Based on Adaptive Differential Evolution Algorithm[J].Journal of Zhengzhou University (Engineering Science),2020,41(03):14-19.[doi:10.13705/j.issn.1671-6833.2020.02.020]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
41
Number of periods:
2020 03
Page number:
14-19
Column:
Public date:
2020-07-29
- Title:
- Parameter Extraction of Photovoltaic Models Based on Adaptive Differential Evolution Algorithm
- CLC:
- -
- Abstract:
- It is vital to fast and accurately extract the parameters of the photovoltaic (PV) models for the simulation, evaluation, and control of PV systems. Recently, the use of the intelligent optimization methods for parameter extraction of PV models draws growing attention. However, these methods tend to consum e large computational resources. In order to fast and accurately extract the parameters of the PV models, this paper develops a novel adaptive differential evolution algorithm, in which a new m utation strategy is proposed. To verify the performance of proposed algorithm, the single diode model, the double diode model, and the PV module are selected as the test models. The experimental results show that proposed algorithm can extract the parameters of different PV models fast and accurately. Thus, proposed algorithm can be an efficient alternative for parameter extract ion of PV models
- References:
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Last Update:
2020-07-28
