Research On Issues Of Large-scale Thermostatically Controlled Loads Participating In Power System Demand Response

Nowadays,new energy power generation industry continues to develop due to environmental pollution and energy crisis around the world.Economic development increases social power consumption and increases in the peak-valley difference of load.These factors lead to the traditional generation-side regulation cannot meet the needs of stable control of the power system.In order to ensure the safety and reliability of the power system,the potential of user-side loads to participate in power system demand response must be fully explored.Shortterm adjustment of thermostatically controlled loads(TCLs)will not affect user’s comfort because of their generalized energy storage characteristics.So TCLs is a kind of ideal demand response resource for power system.In this thesis,TCLs is taken as the research object.The working characteristics and aggregation response model of large-scale TCLs are studied,and assess the real-time adjustable capacity of TCLs.Finally,the control strategy based on statequeuing(SQ)model for TCLs to participate in the operation of power system are proposed.The main work of this thesis are shown as follows:Based on the statistical analysis of the working characteristics of the common loads,the thermostatically controlled loads type with high demand response potential is evaluated.The monomer modeling is carried out for the typical temperature control load to simulate the coupling relationship between load power and temperature.The TCLs aggregation modeling based on the Monte Carlo method is adopted to simulate the TCLs aggregation power of multiple types of users under the normal operation state.Analyzing the control architecture of thermostatically controlled loads participating in power system demand response,and introduce the workflow of load aggregation operation system of load aggregator in detail.Then proposes a real-time adjustable capacity evaluation method of TCLs based on clustering preprocessing of batch users.Finally the effectiveness of the evaluation method is verified by simulation.Analyzing the conventional temperature control strategy of the TCLs.An improved temperature regulation strategy is proposed according to the power fluctuation caused by the loss of state diversity in the process of regulation and control.Based on the SQ model of the TCLs,a theoretical comparative analysis is performed.Finally,based on the equivalent thermal parameter model of the TCLs,the simulation is carried out to verify that the improved temperature control strategy is able to suppress the rebound effect of the load.