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Energy Consumption Optimization Of Smart Home Based On Integrated Demand Response

Posted on:2021-03-09Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhouFull Text:PDF
GTID:2392330614453797Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Compared with the traditional pure electricity demand response,in household multi-energy system,the coordinated operation of electricity,natural gas and renewable energy has the potential to realize the safe operation and low-carbon economy of the system.Household gas-electric equipment is becoming more and more popular.The introduction of gas-electric equipment can improve the flexibility and depth of household integrated demand response.In view of the current situation that integrated demand response of gas and electricity,the uncertainty of load and photovoltaic output are not fully considered,and users’ tolerance is not fully exploited to optimize the system scheduling,the optimization of household integrated demand response is studied to reduce the energy cost and harmful gas emissions of the household.Specific research contents include:Firstly,the characteristic framework of household integrated demand response is designed.Based on the general framework of integrated demand response in the wide area,this paper makes statistics and characteristic analysis on the resources of household integrated demand response,and puts forward the characteristic framework of household integrated demand response.The influence of uncertainty and tolerance on household demand response and its handling methods and applicable scenarios are fully discussed.Secondly,under the condition of neglecting the uncertainty,this paper studies the low-carbon economic scheduling optimization of household multi-energy system based on integrated demand response,and discusses the applicable scenarios.In this paper,gas-electric equipment is brought into the category of household energy management,the coordinated operation of integrated demand response of natural gas and electric power is taken as the key factor,and the optimal scheduling model of household multi-energy system is established with the objective of minimizing the operation cost and the emission cost of harmful gases.A novel integrated demand response approach of household energy system is proposed to dynamically adjust the gas-electricity equipment energy type and load size(including opening and closing),while other controllable loads adjust the load size(including opening and closing)in different periods like the classical demand response,while the uncontrollable loads operate on demand.The simulation results show that the strategy has the advantages of simple calculation and easy implementation,and can significantly reduce the operating cost of the family and the emission of harmful gases.Thirdly,considering the influence of uncertainty and users’ tolerance of comfort,an interval optimization strategy of household multi-energy system is studied,and the applicable scenarios are discussed.Interval optimization is used to deal with the uncertainty of household multi-energy system with gas-electricity equipment,and a integrated demand response model based on interval optimization is established to study the value of interval optimization to integrated demand response.Users’ tolerance is considered in household multi-energy system with gas-electricity equipment,and users’ tolerance is modeled as about in integrated demand response optimization model of the system.In addition,the value of users’ tolerance to integrated demand response is studied.The simulation results show that interval optimization is robust to uncertainty and can meet the needs of users flexibly.Integrated demand response and tolerance can optimize the total household expenditure of users,and the optimization effect is cumulative.Compared with the traditional method,this strategy has the advantages of comprehensive consideration and wide application,and reduces the energy expenditure by 23.4%.
Keywords/Search Tags:Household integrated demand response, Uncertainty, Interval optimization, Tolerance degree, Gas-electric equipment
PDF Full Text Request
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