| Home energy management is a branch of energy management on the household electricity side.Based on the price-type demand response strategy,this thesis mainly studies the problem of home energy optimal scheduling under the control of the home energy system.First,the research background and related concepts of this thesis are introduced;then,a time-of-use electricity price setting method considering the consumer psychology of home users is proposed.Finally,under the price-type demand response strategy,energy optimization analysis is performed on three advanced home energy scenarios.First of all,this thesis introduces the research background and significance of home energy optimization.Then it introduces the classification of demand response strategies and the functions,components,and objective functions of home energy management systems,and compares them with traditional home energy management.The current research status of demand response strategies and home energy management systems are summarized.Secondly,this thesis proposes a time-of-use electricity price setting method that takes into account consumer psychology of home users.Use the improved fuzzy C-means clustering method to obtain the time division of time-of-use electricity price,and then obtain the user’s response based on the user response model of consumer psychology.Taking the minimum daily load peak-valley difference as the optimization objective function,using the PSO to find the electricity price information.Thirdly,the thesis proposes an intelligent power consumption optimization strategy for homes that takes into account the uncertainty of consumer power consumption behavior.First classify the behavior of user’s uncertainty in power consumption;then,according to the uncertain behavior of the user to adjust the power consumption plan,reliability indicators were formulated for various loads.In response to the user’s uncertain behavior of increasing or decreasing the power consumption task,emergency power consumption coefficients and comprehensive emergency power consumption indicators were formulated for various types of loads.Finally,considering the various indicators,an intelligent power consumption optimization model for homes with the goal of minimizing power consumption costs is established,and the daily power consumption plan and realtime power consumption plan are obtained.Then,the thesis proposes a home energy optimization strategy with microcogeneration.The composition of the home energy microgrid and the operation of microcogeneration are introduced in detail.Then the load and user comfort are modeled.The home energy optimization scheduling model with the goal of low energy consumption costs is established,providing users with an optimized solution for the comprehensive use of natural gas and electrical energy.Finally,the thesis proposes a multi-family energy collaborative optimization strategy.Model the types of power purchase and sale transactions and revenue of power sales companies.Then study the home energy optimization strategies of the three groups of users.Through the decision-making model of the two parties of the power sales,obtain the optimal planning that takes into account the power users and the power sales companies. |
