Intelligent Control Technology Of Household Photovoltaic Energy Storage System

With the rapid development of photovoltaic energy storage technology and smart home,domestic consumer gradually have the ability to generate electricity and self-dispatching.Adding intelligent control on this basis can enable efficient use of electricity.Therefore,this paper proposes an intelligent household photovoltaic energy storage system.This system can establish a home local area network,collect photovoltaics,batteries,and household loads for monitoring.It can intelligently control the flow of energy and provide the most reasonable power supply scheme.This article completes the hardware design of the household photovoltaic energy storage system,including the development of smart sockets and the design of the battery management system.The smart sockets realizes the detection and power supply control of the load,the battery management system realizes the charge and discharge control of the battery,and both have added the function of wireless communication,which can be connected to the home network.In order to achieve the optimal distribution of electrical energy,this paper builds a home energy management system that includes photovoltaic and energy storage devices,considers the impact of weather changes on power generation,and uses genetic algorithms to optimize the electricity consumption strategy to obtain the optimal capacity configuration and power consumption strategy.The simulation results show that the electricity consumption strategy will change with the weather,and the optimized electricity bill can be reduced by about 45%-88% compared with before the optimization,and also applies to balcony photovoltaic systems.Finally,the upper computer software of the system is written on the Windows platform.The user can establish the communication network of the electric energy unit based on the home LAN,and control the switch of the intelligent socket and the battery charge and discharge mode through the upper computer to realize multiple power supply modes of the load.The upper computersoftware integrates the energy optimization algorithm and adds an intelligent control mode.It can predict the photovoltaic power generation data through weather forecast,and then combine the time-of-daytariff,load power demand,and battery energy storage status to obtain the optimal power strategy and generate a mission plan table,and automatically control the household photovoltaic energy storage system according to the mission plan to achieve intelligent control.In this paper,through the design and research of the software,hardware,and algorithms of the household photovoltaic energy storage system,intelligent control of energy is achieved,which can effectively reduce the cost of household electricity and improve the efficiency of electrical energy utilization.