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Study On Intelligent Home Energy Management Modeling And Optimization Of Electricity

Posted on:2017-04-21Degree:MasterType:Thesis
Country:ChinaCandidate:Y H YangFull Text:PDF
GTID:2322330515967222Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Energy is an important foundation for the survival of a nation and the key to sustainable development.In the background context of climate change and energy crisis around the whole world,more and more attention is attached to developing clean energy and improving energy efficiency.With the development of smart utilization of electricity,it has become a hot topic of smart grids to increase the grids and home users' benefit by demand response and the technology of interaction.This paper firstly analysis the character and control strategy of distributed generation system,in which PV array,fan and battery are included.Then,this paper researches the character of the loads and divides them into two parts,thermal loads and non-thermal loads.For the thermal loads,the power and temperature character is analyzed.The non-thermal loads are regarded as a load with continuous varieties.This article is based on the status quo of China's home electricity usage and makes an exploratory research to achive several kinds of smart energy management methods by integrating the basic theory and method of game theory.Then this paper investgates the control of the peremeter of the home energy management system and the grids to form a protocol for the win-win situation.Firstly,this paper explains the basic theory of game theory,then this paper builds the optimization model of the home and the grids,lastly,this paper analysis the method to invegestigate the game theory to the model.The simulation verifies the validity of the model.In the simulation,the users cost decrease and the grids' benefits increases which proves that the model in this paper is valid.
Keywords/Search Tags:Smart Home Power Consumption, Interaction, Game Theory, Distributed Generation, Optimization
PDF Full Text Request
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