Research On Residential Electricity Consumption Model Based On Demand Response

In recent years,some problems such as environmental pollution and emergency energy are gradually hindering human development.Electrical energy has rapidly become an effective way for humans to solve these problems because of its characteristics such as high energy conversion efficiency,convenient energy transportation,and no pollution.Against the background of increasing demand for electricity from residents,it is particularly important to study the load management of residents in the grid terminal.Based on the ever-evolving smart grid technology and the increasingly mature demand response mechanism,this topic has studied and analyzed the electricity consumption strategies of residents under demand response.The main contents of this thesis are as follows:Firstly,this paper describes the demand-side response mechanism in the electricity market and how users participate in the demand-side response.At the same time,based on the relevant theories of residents' demand response behavior,the characteristics of residents' demand response behavior are analyzed.In the paper,the load characteristics of household appliances are divided into the following characteristics: the discreteness or continuity of operating Power,the transferability or non-transferability of operating time,and the direct or indirect energy storage.Based on these load characteristics,residents' electrical equipment that participates in demand response is classified into three types: energy storage equipment,flexible electrical equipment,and inelastic electrical equipment.At the same time,the corresponding load characteristics model is established.Secondly,based on the analysis of utility theory and risk attitude of economics,a corresponding utility model for risk-averse person is established in this paper.In addition,from the point of view of economic cost,the model of power supply cost of household electric vehicle and photovoltaic power generation is analyzed and established.And the transaction mechanism between resident users and power companies is established according to the dynamic electricity price,then a model of household power consumption strategy is established,which aims at the maximum net utility of electricity consumption.The analysis of the examples by MATLAB software verifies that the residents' intelligent power consumption strategies in this paper have better optimization results for different types of household appliances.At the same time,this paper analyzes the effect of different utility weights and total cost weights on the optimization results.Finally,this paper classifies the total load characteristics of residents in the region and establishes the corresponding model based on the above model,and analyzes the parking requirements and battery capacity of large-scale electric vehicles.From the point of view of commodity consumption probability,the state probability matrix of load power consumption is introduced,and then the demand response strategy for residential user is established to promote the local absorption of distributed power supply.Particle swarm optimization(PSO)algorithm is used to solve the response model.It is verified by an example that this demand response strategy can effectively promote the absorption of distributed power supply,improve the load curve of residents to a certain extent and increase the economic benefit of users.