| With the development of electric vehicles,the performance of the power batteries of the first batch put into the market has greatly decreased,and they are basically at the critical point of elimination.How to carry out cascade energy storage utilization of retired power batteries is of great significance to the sustainable development of electric vehicle industry and the effective utilization of battery resources.However,there have been many disputes about the cascade utilization of power batteries,which are mainly due to the immature technology,safety concerns,difficulties in large-scale application,and lack of standard and specification constraints.Retired power batteries for household energy storage do not need complex technical support and split reorganization and consistency tests,also don’t need to replace the Battery Management System,and no high rate charge and discharge,no collision and vibration,no extreme difference in temperature,without the cost of the acquisition,is one of the most easy way to achieve large-scale application.In addition,as more and more families begin to have new load or power supply devices such as electric cars,distributed photovoltaic power generation in homes,the electricity consumption patterns in families are also gradually changing.Under the construction of smart grid,home intelligent power system is the development trend,which needs energy storage to give play to its advantages.This paper discusses a management scheme of retired power batteries for home energy storage,which is based on smart grid and smart home,and unifies the management and control of source and charge storage in the home energy network,so as to meet the multi-direction demand.On the one hand,it can assist the power grid to complete the local consumption of new energy in the home,and meanwhile save the electricity cost for users on the premise of ensuring the comfort of users;By his power battery energy storage,on the other hand,can promote the interaction between the family and the grid and smart home energy management system to obtain accurate real-time electricity price,load forecasting,such as data,and the family internal charge storage devices are intelligent scheduling and control,using the energy storage can either charge as load and discharge as the characteristics of family power within the family to optimize the distribution of the total load on time and achieve the user demand side response,auxiliary shift peak load of power grid.To a certain extent,the local consumption of new energy,energy and resource conservation and multi-objective and multi-level coordinated optimization control and efficient operation and maintenance of household energy system are realized.Secondly,the paper constructs the future intelligent home energy network topology with retired battery home energy storage,and analyzes the main typical home energy equipment such as home energy storage,distributed photovoltaic and electric vehicle.The networking technology and topology of smart home energy network are further explored.The DC power supply and converter modules related to energy storage are analyzed.Then the function of the home energy network of the retired battery storage is explained.Finally,based on the analysis of existing home energy management,on the basis of optimal control algorithm,in view of the household energy network contains retired battery energy storage and analysis of the mathematical model and the characteristics of typical energy equipment,this paper proposes a comprehensive control of Discrete Binary Particle Swarm Optimization Algorithm coupled with fuzzy control operation mode considering their respective operation characteristics and family equipment energy.Taking the optimal economy of users as the objective function,and taking into account the operation constraints of each component in the household power system,an optimization model of the household power system considering the energy storage of decommissioned power battery is constructed.The model is solved by the hybrid operation method,and the scheme is simulated and verified by combining the real data.It provides a direction and solution for the reuse of decommissioned power batteries in the future and the problem of smart household electricity consumption. |