Characteristics Performance Prediction of PV Panel Using Cuckoo Search Algorithm

2nd International Conference on Sustainable Engineering Techniques

工业技术（总论）

Hasan, Ibtisam A.^1 ; Jawad, Mohammed^1 ; Abdullah, Basma^1

University of Technology, Electromechanical Engineering Department, Baghdad, Iraq^1

关键词: Absolute error;    Climate condition;    Correlation factors;    Cuckoo search algorithms;    Intelligent optimization method;    MSE evaluation method;    Performance prediction;    PV panel;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/518/3/032033/pdf
DOI  :  10.1088/1757-899X/518/3/032033

学科分类：工业工程学

来源: IOP

【 摘 要 】

This paper focuses on prediction and evaluation the correlation factors of PV panel characteristics in order to determine the implicit correlation forms for the efficiency and temperature of the system under Iraq climate conditions. Implicit correlation forms consisted on the ambient temperature, solar radiation, wind speed and humidity. Cuckoo search algorithm was employed as an intelligent optimization method to predict the correlation factors of each variable under different evaluation method which are, mean square error (MSE), integrate absolute error (IAE) and integrate square error (ISE). The results appeared that the proposed method was succeeded to predict both of the PV panel temperature and efficiency with MSE evaluation method compared with other methods. Where, the lowest MSE was recorded lower the 1 % for each characteristic.