基于预测电流控制的光伏并网系统最大功率点跟踪算法

针对光伏发电的突变性及昼发夜停特性提出一种新型的基于预测电流控制的光伏并网系统最大功率点跟踪(MPPT)算法。根据实际情况考虑光伏阵列的非线性特性,最大功率点周围光伏电压的振荡及逆变器、滤波器的设计等。为了确保系统采用控制算法的稳定性,MPPT的设计应运而生,在此基础上通过改进算法从光伏系统的电压与电流预测基准电流进而控制光伏并网系统。通过与传统的波动相关控制方法对比给出了仿真结果。仿真结果表明:在光照发生突变时,与传统的波动相关控制法相比,提出的改进算法的跟踪速度较之提升9.3%,并能够准确跟踪光伏并网系统最大功率点,且性能稳定可靠。

Computed Current Control Method for Maximum Power PointTracking of GridConnected Photovoltaic System

A new maximum power point tracking (MPPT) topology for a gridconnected PV system considering the sudden changes in environmeons was proposed. Considering the nonlinear characteristics of photovoltaic array according to actual condition, maximum power point of PV voltage oscillation around as well as the design of the inverter and filter and so on. In order to ensure the stability of the system adopts the control algorithm, the design of the maximum power point tracking arised at the historic moment, through the improved algorithm from photovoltaic system reference current and voltage and current predictive control photovoltaic (PV) gridconnected system. Based on compared with the ripple correlation control (RCC) method of the traditional and the simulation results were given. The simulation results showed that: Compared with the ripple correlation control (RCC) method when the solar radiation generate the sudden changes, the proposed improved algorithm of tracking speed increased 9.3%, the new algorithm not only could accurately track the maximum power point of photovoltaic (PV) gridconnected system, but also had the stable and reliable performance.