Research On The Electric Response Of Air Conditioning Under The Condition Of Smart Grid

At present,the problems of energy,resources and environment around the world are increasingly concerned,improve the efficiency of energy use,promote energy-saving emission reduction has become the urgent goal of mankind.China has a large population,the per capita amount of resources is relatively low and far below the world average.In order to deal with the energy problems,the world set off a boom in the development of smart grid.Demand response is an important part of the smart grid,to encourage users to actively participate in power system operation and management,to ensure the stable operation of the power grid provides a new way.Air conditioning load is an important part of peak load of power system.In recent years,the rapid growth of air conditioning load,and further widened the power grid peak-valley difference,exacerbated the peak load,seriously affecting the safe and stable operation of the power grid.On the other hand,the air conditioning system has a certain thermal storage capacity,can carry on the load adjustment,and the response speed is quick,the potential is big,it is the important demand response resources in the smart grid environment.Along with the development of intelligent electricity,mining with the peak potential cut peak load of air conditioning,and regulate the reasonable way of reducing peak load of air conditioning,is of great significance to improve the characteristics of power grid and power system security,stability and economic operation.According to the theory of heat transfer and the actual working conditions of the air conditioning,the power model of the household air conditioner is established.Based on the concept of meteorology on human comfort index,put forward the objective comfort index,and according to the users’ preference to set temperature and air conditioning dehumidification requirements,air conditioning group classification of electricity comfort index.The air conditioning group was classified according to the comfort index.In order to meet the goal of reducing the load of power grid,the load response model of air conditioning group with objective comfort index is set up.And puts forward the method of reducing the load of air conditioning group,which is equal to the objective comfort index.Finally,an example of intelligent community demonstration project is analyzed and compared.Based on the characteristics of high energy consumption and high controllability of precision air conditioning,this paper establishes a precision air conditioning load response model to guide the precision air conditioning to participate in load response.The heat balance theory,combined with the cooling power and outdoor temperature indoor equipment,the establishment of the indoor temperature setting value and the heat balance equation of cooling load;and considering the differences of indoor relative humidity,set up electric power model of precision air humidification and dehumidification.In order to meet the peak load reduction of power grid and consider the economic and stability requirements of the air conditioning system,a multi-target precision air conditioning load response model is established.For solving the model,the paper uses the ideal point method to transform the multi-objective model into a single target model,and uses the genetic algorithm to solve the problem,so as to achieve a balanced and economical air conditioning load response.