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Research On Optimization Strategy Of Electricity Consumption And Dispatch Of Home Energy Management System

Posted on:2018-01-08Degree:MasterType:Thesis
Country:ChinaCandidate:D S WuFull Text:PDF
GTID:2322330533469903Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the development of smart grid,the traditional power supply and demand structure is changing.In smart grid environment,managementing home users’ resources has become the important way to fully tap the resources of demand response of user,which can play an important role in promoting energy conservation and environmental pollution.As a user-side resource management system,Home Energy Management System(HEMS)appears,which can realize the automation and intelligentization of household electrical energy management to control family distributed electrical energy resources,electricity loads.In this paper,home energy management system including distributed photovoltaic and electrical energy storage equipment is constructed.On this basis,the strategy of home electrical energy optimization are studied.Firstly,home energy management system including household loads,household PV and battery is constructed,and its main function is determined.Real Time Pricing(RTP)is selected.Household loads consist of curtailable appliances,transferable appliances and air conditioning appliances.Then,the working model of three kinds of loads is established.The characteristics of PV are analyzed,whose model is established.The characteristics of battery are analyzed,whose model is established.Secondly,the electrical energy consumption optimization strategy is studied.The realization method of genetic optimization algorithm is analyzed.The electricity and satisfaction model of transferable appliances are established.The optimization strategy of air conditioning appliances are put forward.The optimization model of total household electricity and the optimization decision variables of electricity are used to minimize cost of the electricity consumption as well as maximum satisfaction of electricity consumption and minimum cost of electricity consumption.The optimization strategy of electrical energy is put forward by genetic algorithm.The simulation is carried out by MATLAB,and the validity of the proposed optimization strategy is verified.Finally,the electrical energy dispatch optimization strategy is studied.NSGA-II are analyzed.The optimization model of PV electrical energy dispatch is established.What’s more,the constraint constraints,system optimization decision variables and optimization targets are determined.The optimization of PV electrical energy dispatch strategy is carried out,what’s simulation is carried out by MATLAB and the validity of the proposed optimization strategy is verified.The optimization model of battery electrical energy dispatch is established,what’s decision constraints,decision variables and optimization targets are determined.The optimization strategy of battery energy dispatch is put forward in order to realize the optimization of home electrical energy.The simulation carried out by using MATLAB verifies the effectiveness of the proposed dispatch optimization strategy.
Keywords/Search Tags:HEMS, electrical energy consumption optimization, electrical energy dispatch optimization, RTP, distributed electrical energy resources
PDF Full Text Request
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