Bus Voltage Control Of Optical Storage DC Microgrid Based On Single Neuron PID

Photovoltaic power generation,as a newly emerging distributed clean energy,has attracted wide attention due to its pollution-free and wide range of availability.Photovoltaic microgrids using photovoltaic cells as power sources have also been applied in many projects in recent years.However,due to the uncertainty of photovoltaic cell power generation,most independent photovoltaic microgrids have introduced energy storage systems.With the energy storage system,the entire photovoltaic DC microgrid can achieve real-time power balance and improve the utilization rate of photovoltaic cells.Even if the output power of the photovoltaic cells is greater than the load power in the current microgrid,the energy storage cells can also be used to store electric energy and reserve energy for the microgrid in case of power shortage.Therefore,it is very important and necessary to study the energy storage converter.In this paper,the bidirectional DC-DC converter is used as the energy storage converter,and the switching between charging and discharging states of the energy storage battery is realized by controlling the DC-DC converter.For the control of DC-DC converter,because the switch tube is a typical power electronic component and a strong nonlinear device,if the traditional PID control is used,it will not be able to control quickly and accurately.However,PID control is a very excellent and reliable control method.In view of this situation,this paper proposes to use a single neuron PID control algorithm.The specific research work is as follows:(1)Analyze the working principle of photovoltaic cells,simplify the mathematical model of photovoltaic cells,form an engineering application model that is easier to model and control,and analyze the output characteristics of photovoltaic cells under different temperatures and light intensities.The fixed step perturbation observation method is used as the maximum power tracking control algorithm to achieve the maximum power output of photovoltaic cells.(2)This paper introduces the types of common energy storage batteries,and finally selects the lead-acid battery as the energy storage battery,and introduces the mathematical model and charge discharge characteristics of the battery.(3)The DC chopper circuit and bi-directional DC-DC converter are analyzed in detail,their working principles are analyzed and the final application scheme is determined by comparing the applicable occasions.(4)This paper introduces the traditional PID control,introduces the PID control algorithm based on neural network,introduces the BP neural network PID algorithm and single neuron PID control algorithm,and finally builds a simulation model to verify its effect.