Optimization algorithm for I-V curve fitting of solar cell
HU Keman1,2,HU Haiyan3,LIU Guiguo2,4
1. Department of Electronic and Information Engineering,Ningbo Polytechnic, Ningbo Zhejiang 315800, China
2. Research and Development Center, Ningbo Wesun Solar Energy Equipment Limited Company, Ningbo Zhejiang 315000, China
3. Scientific Research Office, Ningbo Polytechnic, Ningbo Zhejiang 315800, China
4. Mechanical and Electrical Engineering School, Zhejiang Textile and Fashion College, Ningbo Zhejiang 315211, China
Abstract：A new optimization algorithm, GA-AFSA, was proposed by integrating Genetic Algorithm (GA) and Artificial Fish Swarm Algorithm (AFSA) to fit for the mathematic model of I-V curve of solar cell. It maintained the global optimization advantages of GA and quick convergence of AFSA while overcoming the defects of GA's slow convergence and AFSA's stepping without a definite purpose. By fitting the five important parameters of I-V curve, namely the photo-generated current of solar cell, quality factor of diode, series resistance, reverse saturation current and shunt resistance, GA-AFSA made a great improvement. Compared with the existing algorithm, the new one has a higher precision and a rapid convergence speed.
胡克满 胡海燕 柳桂国. 太阳电池I-V曲线拟合的优化算法[J]. 计算机应用, 2013, 33(05): 1481-1484.
HU Keman HU Haiyan LIU Guiguo. Optimization algorithm for I-V curve fitting of solar cell. Journal of Computer Applications, 2013, 33(05): 1481-1484.
2013, Vol. 33 
