Research And Application Of Neural Network In Photovoltaic Control System

Solar energy has become one of the main energy sources for human development and utilization because of its advantages of being clean and pollution-free.Photovoltaic power generation is the main method of solar energy utilization.As the most important component of photovoltaic power generation system,inverter performance directly affects inverter efficiency and grid-connected power quality.Inverter control strategy is one of the most important aspects.Firstly,introduced the development of domestic and international PV,photovoltaic traditional control methods are discussed.The characteristics,mathematical model and working principle of neural network are introduced,and the concept and principle of neural network inverse system are explained.Because the lack of self-adaptation in traditional PI control will reduce the grid power quality and other issues,this paper presents a new control strategy based on neural network intelligent tuning PI parameters.Then on the premise of the new control strategy proposed in this thesis,choose the appropriate photovoltaic grid-connected inverter,and study the specific parameters of the inverter.The mathematical model of the topology of the inverter circuit selected in this thesis is mathematically modeled.Based on this,the reversibility of the photovoltaic inverter is deduced.The neural network inverse system model proposed in this thesis is established.Based on the PI control algorithm,this new control strategy simulation model is built by software Matlab/Simulink.Emphasis is placed on simulation experiments using an inverter model that combines neural network control and PI algorithms.The waveform of the simulation output is compared with the output waveform of the traditional PI algorithm.The results show that the control algorithm proposed in this paper can reduce the harmonic content from 3.26% to 2.19% and improve the grid-connected power quality.Finally,thereliability of the algorithm is further verified.The photovoltaic system is built in RT_LAB.Based on this experiment and record experimental data.The experimental results show that the control strategy has a good control effect.