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Research On Load Power Strategy Of Home Energy Management Systems

Posted on:2017-09-08Degree:MasterType:Thesis
Country:ChinaCandidate:W T LiFull Text:PDF
GTID:2382330488975965Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the arrival of smart grid era and the advent of advanced communication and information infrastructures,bidirectional communication,advanced metering infrastructure,energy storage systems and home area networks would revolutionize the patterns of electricity usage and energy conservation at the consumption premises.Coupled with the emergence of vehicle-to-grid technologies and massive distributed renewable energy,there is a profound transition for the energy management pattern from the conventional centralized infrastructure towards the autonomous responsive demand and cyber-physical energy systems with renewable and stored energy sources.Under the sustainable smart grid paradigm,the smart house with its home energy management system(HEMS)plays an important role to improve the efficiency,economics,reliability,and energy conservation for distribution systems.How to provide users with an optimal management strategy for home appliances and how to reduce the cost of electricity and meet the needs of users have become a research hot spot for HEMS to guide users to better use of electricity.In view of the above problems,this paper carries on the research from the following several aspects,the main contents are as follows:Firstly,this paper gives an overview of the intelligent HEMS and designs a representative infrastructure.The functions of the intelligent HEMS has studied and the basal facilities of the smart HEMS has also proposed.An overview of the HEMS contains the basic concepts,architecture and functions are described in this paper.The in-home infrastructure of HEMS is composed of smart HEMS center,smart meters,communication and networking system,home energy storage systems and other smart devices.Secondly,in this paper,a kind of intelligent switch circuit with charging load capacity is designed,which can achieve the purpose of improving power consumption manners,energy saving and preventing over charging.First,the work flow chart of the charging load intelligent switch is designed,and then a case study is carried out.The characteristic of intelligent switch circuit is studied,including the current acquisition module,the switch control module and the time delay judgment module.In the end,the circuit diagram of the control part is designed,which realizes the intelligent disconnection function after the charging load is charged.Thirdly,the energy scheduling strategy in intelligent residence is compared,and the corresponding control objective function is proposed according to the different characteristics of different devices.Mainly from the HEMS devices scheduling policy,price-based and incentive-based demand response strategies and residential electricity load characteristics and comfort analysis of these three aspects are introduced.The residential electricity load is divided into two kinds of electrical load and storage load,and the power characteristics of the two kinds of load are studied in detail by using mathematical model.In this chapter,the user satisfaction is divided into two parts,the environmental comfort and the time comfort are calculated and analyzed,and the comfort standard of this paper is given.Finally,the HEMS load design and simulation algorithm for power optimization strategy has been completed.MATLAB programming simulation based on minimization of the difference algorithm.For the residents of electricity use,electricity spending to optimize the contrast,but also consider the impact of user comfort.Minimization of the difference algorithm is studied,the simulation program flow is analyzed,and the flow chart of the algorithm simulation program is designed,and the simulation results are analyzed.The simulation results show that minimization of the difference algorithm can be used to realize power peak load shifting,reduce power consumption,save electricity cost and optimize resource allocation.
Keywords/Search Tags:Home energy management system, Renewable energy, Smart house, Demand response, Home appliance scheduling
PDF Full Text Request
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