Research On Electric Heating Load Adjustability Evaluation And Cluster Control Strategy

In order to cope with the increasingly severe environmental and climate change constraints,the low carbonization of power supply is an inevitable trend of current development.The active regulation capability of the “power supply side” in the high-ratio renewable energy grid is degraded.In order to ensure the safe and efficient operation of the power grid,it is imperative to develop the regulation capability on the load side.The demand response in the smart grid enhances the user's ability to interact with the grid,and is more conducive to mining the adjustment capabilities of the user side.In the northern part of China,we will vigorously promote the “electricity substitution” cleaning method such as electric heating to absorb renewable energy such as wind power and solar power.The electric heating load is a flexible and adjustable load.When its scale reaches a certain level,it will become a very considerable demand response resource in the grid operation,and the electric heating load will be incorporated into the normalized power system dispatching operation through the power demand response.,has important practical significance.In this paper,an evaluation method based on temperature prediction for household electric heating load adjustability is proposed.According to the electrothermal conversion characteristics of electric heating load,a thermal dynamic model of electric heating transient thermal equilibrium relationship is constructed,which can be adjusted according to the defined load.The capability index introduces the temperature parameters in a certain period of time obtained based on numerical weather prediction,and evaluates the load adjustment ability of household electric heating in the temperature range satisfying the human body comfort,in order to realize the electric heating user participation in the grid load.Adjustment provides an important reference.The feasibility and effectiveness of the evaluation method are verified by a series of simulation calculations.Based on the evaluation of the adjustable capacity of electric heating load,the electric heating load cluster processing method and the electric heating load cluster control strategy based on the parameter uniformization polymerization model are proposed.The electric heating load aggregation control mechanism is studied and the electric heating is adopted.The clustering treatment of parameters such as equivalent heat capacity C and equivalent thermal resistance R is established.The uniform heating model of electric heating load parameters is established.The specific simulation example is used to verify the uniform heating model and cluster control strategy of electric heating load parameters.Feasibility and effectiveness,and analyzed the research potential and influencing factors of electric heating load cluster based on uniform polymerization model.Finally,the demand response of cluster electric heating participation is studied.The power demand response,residential electricity load characteristics and demand response price mechanism are analyzed.The response model of electric heating load based on demand price elasticity coefficient is established.Based on this,a response model is established.Based on the real-time electricity price model of real-time load ratio,the electric heating load based on this model is analyzed and studied.The simulation examples are discussed to discuss the impact of demand price elasticity and different electricity price mechanisms on the demand response of cluster electric heating participation,and analyze the economic benefits brought by cluster electric heating participation demand response.