Research On Controllable Load Scheduling Strategy In Home Energy Management System

With the development of smart grid technology,great progress has been made in the research of intelligent power grid,and the research of home energy management system has been developed with the needs of users.This thesis mainly from the home energy management perspective,mainly studies home electrical equipment load decomposition method and the home electrical equipment scheduling strategy,In the research of home energy management system,some ideas of home energy management system design are put forward.On the premise of the previous studies,some scheduling strategies of electric equipment are put forward.Firstly,in the design of family energy management system,this paper describes the function structure design,network topology design,wireless networking technology scheme design and data management scheme design of home energy management system.The Bluetooth scatternet structure based on Bluetooth communication technology is adopted,and the data storage and data management scheme based on cloud platform is proposed.In the analysis of electrical equipment energy consumption data,a load characteristic decomposition algorithm based on adaptive threshold and time window segmentation is proposed.The load characteristics of power equipment are studied and the load model is classified.The simulation results are analyzed and compared for the electrical equipment of#0 family.Then the objective function of electricity cost and the objective function of user satisfaction are established.Secondly,the optimal scheduling strategy based on genetic algorithm is proposed.The power consumption model of#0 family is optimized and the simulation results are compared and analyzed.The optimal scheduling strategy of user satisfaction based on genetic algorithm is proposed,and the user satisfaction of the#0 number household electrical equipment model is simulated.Then,a dual objective power scheduling strategy based on NSGA-II algorithm is proposed.The scheduling strategy considering both power consumption and user satisfaction is studied and simulated,and the results are compared.Considering the power scheduling strategy after distributed power access to home energy management system,a scheduling strategy based on adaptive simulated annealing genetic algorithm is proposed.The adaptive control of simulated annealing operation time can improve the stability and efficiency of scheduling strategy.Finally,the research content of this thesis is summarized.