Research On Air-conditioning Load Model And Control Strategy For Demand Response

In recent years,with the development of domestic economy and the global warming issue,the usage of residential air-condtionings has been increased year by year.In hot summers,the air-conditioning load has been to the main reason of period electricity shortages,resulting in serious challenge for power system operation and power grid constructions.The traditional solutions such as eletricity cuts and installing power capacity cause poor power reliability,high price and wasting resources.Therefore,demand response has been considered as a key to solve the problem.The research in this thesis has mainly focused on establishing residential air-conditioning model and design of control strategy based on demand response for shaving the peak load.Firstly,the working principle of air-conditioners is briefly introduced,and an air conditioning load equivalent thermal parameter(ETP)model for calculating indoor temperature changes is established.Based on the accuracy and simulation speed,the advantages and disadvantages of each state ETP model are compared and analyzed.Then,the second-order ETP model is selected as a single air conditioning load model in this thesis,and the corresponding air-conditioning aggregated model is established.Secondly,based on the international standard comfort model PMV-PPD,an original smart thermostat has been proposed for considering users' comfort demand in order to save energy.Besides,the feasibility of using the proposed smart thermostat for demand response has been analyzed.Then,utilizing the smart thermostat as a communicating device,a interaction framework between the residential air conditioners and the load aggregator is designed.A fuzzy-logic control strategy for air conditioner load has been presented,which does not violate the users'comfort requirements.The peak load of power consumption can be accurately reduced according to the control signal sent by the control center.Finally,under the Matlab/Simulink environment,with 1000 residential air conditioning loads as the research object,the simulation process of the smart thermostat and air conditioning load control strategy proposed in this paper has been carried out,and the simulation results show that the effectiveness of the smart thermostat and the air conditioning control strategy can be verified.