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Research On Home Energy Management System Control Strategy And Its Simulation Platform

Posted on:2020-01-17Degree:MasterType:Thesis
Country:ChinaCandidate:Z LinFull Text:PDF
GTID:2392330578470027Subject:Power electronics and electric drive
Abstract/Summary:PDF Full Text Request
With the shortage of fossil energy and the increasing serious energy crisis,more and more countries have begun to attach importance to energy conservation and the development of distributed generation.With the popularization of power generation or electrical equipment in resisdent area and the rapid development of smart homes,the situation that residentsial load is uncontrollable is also gradually changing.As an automatic demand response terminal,the intelligent home energy management system can be regarded as the distributed intelligence of the smart grid in each household.Through the information exchange with the power grid and the data collected in the home energy system,the intelligent home energy management system can assist the power to complete peak-load shifting,guide users to use electricity properly and thus improve the new energy consumption capacity,which is in line with the eco-living that is advocated nowadays.In this paper,the proposed home energy management system includes ordinary household appliances,home energy storage,household photovoltaic,electric vehicle charging piles and other equipments.Different characteristics of different types of residential loads are analyzed,and based on this,a mix of hybrid binary particle swarm optimization and fuzzy control is proposed.The mixed operation energy management strategy uses the information both of the real-time electricity price and the day ahead electricity price.The effectiveness of the proposed method is verified by MATLAB simulation and compared with other methods to show the superiority and unique strong robustness.Finally,a real-time simulator is used to build a cyber physical home energy environment simulation platform.The physical part of the platform is designed to solve the plug-and-play problem of home appliances to realize the functions of equipment identification;the simulation part includes human-computer interface,control system,system mathmatic model and so on.The advantage is that it can be replaced at a low cost,so the construction of the platform has laid a solid foundation for future long-term development and in-depth research.
Keywords/Search Tags:home energy managment, discrete binary particle swarm optimization, fuzzy control, plug and play, simulation platform
PDF Full Text Request
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