Research On Home Energy Management Strategy With Household Distributed Photovoltaic Power Station

The photovoltaic generation is more and more important because of the increasingly prominent global energy crisis and environmental problems.Distributed PV generation has the advantages of local distribution of electricity,reducing transmission costs,efficiency and peak performance.Under the guidance of policy and market,household distributed PV generation is under a quick development.It is of great significance to study the management and energy optimization of the distributed PV power station.Combined with distributed PV power station,energy storage system and home loads,the home energy management can improve operational economic efficiency.In this thesis,a smart home system based on Zig Bee technology is introduced,which is composed of five parts: smart socket,home server,public server,mobile terminal and Web client.The system is effective and highly scalable.The system collects household electrical energy information and controls home loads through the smart sockets,realizes the remote monitoring of loads through the mobile terminal and the Web client.Meanwhile,the public server stores operating conditions and historical electricity records of loads.The home server carries on the united management to home loads and household distributed energy to realize home energy management.In this thesis,combined with the smart home system and the household distributed PV power station,the structure of home energy management system is studied.The operating profit of the distributed PV power station is analyzed,and the operating mode of distributed PV is determined.The model of the energy storage system is established,and the control strategy of the battery is proposed.At the same time,home loads are classified,and the model of the shiftable load is established.This thesis establishes the optimization model of home energy management based on time-of-use price,and the objective function of minimizing the household electricity cost and the constraint conditions are proposed.By deciding the charge and discharge power of energy storage battery and working time of shiftable loads,the optimal utilization of home loads can be realized,in order to improve operational economy.The optimization model of home energy management is solved by using particle swarm optimization algorithm.Finally,combined with the home energy management system of a family,the proposed algorithm is tested.The simulation results show that the algorithm can effectively save the household electricity cost and improve economic efficiency.It also can play the role of peak load shifting.The simulation results prove that the algorithm is effective and feasible.This thesis proposes a home energy management algorithm based on time-of-use price,and combines the smart home system with a distributed PV power station to realize home energy management.It provides a reference for the design of user energy management system.