Fitting Output Prediction And Maximum Access Capacity Of Photovoltaic System

As a representative of photovoltaic power generation in recent years the rapid development of new energy power generation, photovoltaic power generation has randomness, intermittence and fluctuation of the three kinds of unique characteristics, leads to the PV output cannot accurately be predicted accurately, resulting in photovoltaic access will affect the traditional power grid. In this paper, the two research hotspots of PV power generation prediction and maximum access are studied respectively.This paper studies the output curve of a photovoltaic power generation system in typical types and analysis the output characteristics of photovoltaic power generation system, the environment of the weather types are divided into five kinds, types, puts forward the application of least squares curve fitting method to predict the output points on the photovoltaic power generation system. Then this paper forecasts the photovoltaic power station output polynomial function curves satisfying the output curve as the excitation function of neural network hidden layer, prediction of photovoltaic power station output, to verify the error prediction method using the least squares fitting and neural network combination is lower than the error prediction method using neural network.By using the UD modeling function of PSASP in the built model of photovoltaic cells,inverter, maximum power tracking of the photovoltaic power generation system, photovoltaic power generation system according to the actual connection between the integrated photovoltaic power generation system model. In this paper, the method of obtaining the maximum access capacity of various power sources is studied, and the characteristics of each method are compared. The method of digital simulation for maximum access capacity of photovoltaic power generation system is proposed. Then this paper combines photovoltaic grid structure of a developed area, studied the effect of access of small capacity photovoltaic power generation system for power grid frequency, phase angle and reactive inertia stability, based on static and dynamic stability for a photovoltaic grid area maximum access capacity, verify the dynamic voltage instability caused by external fault is the main factor limiting PV maximum access capacity.