期刊
SOLAR ENERGY
卷 180, 期 -, 页码 180-191出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.solener.2019.01.026
关键词
Solar cell; Single-diode model; Double-diode model; ILCOA; PV panel
Evaluating the performance of photovoltaic panels inevitably involves having the exact model of solar cells. Different approaches to model solar cells have been proposed in literature which can generally be classified as either traditional or intelligent methods. To obtain the accurate model of such highly nonlinear systems, however, is still a challenging task, defying researchers. This study proposes an Improved Lozi Map based Chaotic Optimization Algorithm (ILCOA) algorithm to estimate the unknown parameters of the solar cells. Remarkable local and global searching abilities of the proposed algorithm give it a distinct edge over other optimization methods, enabling it to sift the whole search space for the global optimum. The efficacy of the proposed approach is finally highlighted by comparing its performance with those of three other algorithms including BMO, CWOA, and LCOA in terms of RMSE, Relative Error, Mean Absolute Error (MAE), Normalized MAE, and Mean Bias Error.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据