A Variable Step Maximum Power Point Tracking Method using Differential Equation Solution
Solar power is considered as a kind of “clean power. The problems of using solar power include varying weather condition brings different power output of the photovoltaic cells, which may cause a serious waste of solar power. For solving this problem, a Maximum Power Point Tracking (MPPT) strategy is required to make Solar cells keep giving maximum power under different environment condition. In this paper, a variable step MPPT method is proposed for faster and more precise tracking process, based on an applicable solar cell model. The new MPPT method gives a second order convergence speed, compared with the traditional MPPT methods, which always behave as one order convergence. According to the applicable solar cell model, a series of differential equations are established to describe the MPPT process, and the maximum power point is present as the solution of those equations. Using a Newton iterative method can not only get the solution of the equations, but also set up ever search step of the tracking process. A matlab-simulink model was established as a two stage PV system including a DC/DC regulator and a load converter to analysis the performance of the proposed MPPT strategy. Simulation result in the last part proved that this MPPT method is practical with a better performance than the traditional strategies.
MaximumPower Point Tracking (MPPT) Newton iteration Differential Equation
Fang LUO Pengwei XU Yong KANG Shangxu DUAN
Huazhong University of Science and Technology, China
国际会议
2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)
哈尔滨
英文
2007-05-23（万方平台首次上网日期，不代表论文的发表时间）