With the solar photovoltaic power generation enterprise and the railwayconstruction developing very quickly in our country, the solar photovoltaic powergeneration system has already been widely applied as the standby power of the railwayload. In recent years. Using of solar photovoltaic cells can reduce the pressure on therailway ring available, so as to save energy. The maximum power point trackingcontroller as the core component of photovoltaic (PV) gird-connected system has beenwidely studied. The application of maximum power point tracking method improvesthe utilization efficiency of solar cells, and then, it can also increases the economicbenefit.The characteristics of solar photovoltaic (PV) grid-connected system are analyzedin order to design of two levels of photovoltaic (PV) grid power generation system inthis paper. According to the strong non-linear of output characteristics of PV cells,thesimulation model is built in MATLAB,which can complete the simulation of theoutput characteristics of PV cells under different temperature and illumination throughthe two methods. The simulation results verify the effectiveness of the differenttemperature and illumination effects on the output characteristics of PV cells.Maximum power point tracking(MPPT) is indispensable to improve theconversion efficiency of the whole system. This paper gives a detailed and in-depthanalysis and research about the Incremental Conductance method-INC which is one ofthe most popular technology of maximum power point tracking (MPPT) controltechnology of the Solar photovoltaic power generation systems. A new type of theIncremental Conductance method was proposed based on the traditional variable step size method which depends on (dP/dV), and it is a improved method dependson|dP/dV|/P. First of all, the superiority is shown from the perspective of theory, andthen the model is tested by using the Matlab/simulink software, Finally,getting thesimulation curve. Comparing the simulation results, it can conclude that the improvedmethod shows much better on the system dynamic response and steady stateproperties. |