The Potential And Control Strategy Of Residential Thermostatically Controlled Load For Participating In Demand Response

Power shortage,depletion of primary energy and environmental problems threaten the sustainable development of society.Countries around the world are searching methods to reduce emission and save energy,improve energy efficiency.Project of DR(Demand Response)promotion conforms to the interests of all parties.Traditional method of adding new generation units to achieve power balance is difficult to achieve requirements of economy,environmental protection and others.DR can effectively reduce equipment investment,fuel loss,pollutant emissions.This paper is aimed at studying residential thermostatically controlled load participating DR,which users take the initiative to participate in load shaving plan according to subsidy and price signals.It could reduce power supply and keep users' comfortable simultaneously,which can reach purpose of energy-saving,emission reduction and achieve multi-win situation.The main work of this paper is as follows:Firstly,the potential of residential thermostatically controlled load participating in demand response has been analyzed in this paper.The composition and proportion of residential load has been introduced,which are essential to study thermostatically controlled load to participate in demand response.Based on the analysis of the factors that affects the user's power consumption,the relationship between electricity demand and factors that includes the temperature,light intensity and residential use time profiles.It is concluded that the electricity demand of residents is closely related to the residents' use time profiles.On this basis,combining with the characteristics of different user home activities could obtain the participating DR's time and potential of different residential thermostatically controlled load curves.Secondly,an improved queue method is proposed to control thermostatically controlled load.Currently,most user's comfort research is staying in qualitative,so this article introduce the PMV index to quantitative reflect the user thermal comfort.The power large fluctuation problem caused by the unreasonable distributive state of the polymer group and adjusting setting temperature between controlled cycles has been analyzed.The method of periodic state inspection,state correction and limiting fluctuation power adjustment is proposed,which is to reduce power fluctuation amplitude during temperature adjustment.When aggregation groups,state distributes not uneven,they analyze each state's number of controlled temperature load and adjust the excessive state's load to insufficient state.When the setting temperature changes largely between cycles,the step by step adjustment strategy is adopted to meet the requirement of load fluctuation during temperature adjustment.Finally,an two stage optimization model has been applied in what method thermostatically controlled load takes part in electricity market.Single thermostatically controlled load is difficult to participate in the competitive electricity market,so it needs to through the load aggregator participating in the electricity market.In this paper,the large thermostatically controlled loads has been optimal grouped and the method of interrupting and exiting has been established.Based on that,the objective function of the agents and the constraints of user comfort and load fluctuation are established.According to the meteorological data and the population structure,the upper layer predicts the potential of thermostatically controlled load reduction and optimizes the daily output of each aggregation group.The lower layer carries out the load regulation plan and reflects to the upper layer,which forms the upper and lower linkage optimization.The validity and practicability of the proposed method are verified by experiment.