Analysis And Application Of Typical Load Electricity Behavior Model

Electric load is composed of industrial and commerclial electricity,residential electricity and other load.On the one hand,the variety of power load which determines governed by many factors,in the interaction of various factors and load will be fluctuated very much;on the other hand,compared with other factors,meteorological factors can directly influence the change of load,temperature factors change the user's electrical behavior as a result of refrigeration and heating load,and the weather factors will also affect the change of the lighting load of users.So in the face of increasingly large electricity groups,with electric power users more and more flexible,analysis and research on how to efficiently excavate the potential value of load data under the big data environment,which is analyzed by cluster analysis,correlation analysis technologies,is of great significance.Starting with the electric characteristics,this paper sets up the corresponding big data analysis model based on the characteristics of the multi-dimension data analysis,and on this basis,this paper mainly focuses on the electricity consumption model and application of air conditioning load as demand response resource under the big data environment.Firstly,this paper has analyzed the necessity and feasibility of the typical load to participate in the operation and dispatching of the power system;according to the development and application of the electric load mode at home and abroad,and has redefined the characteristics of the electric load mode,and analyzed the load data mining technology,at last,this paper has studied the power consumption characteristics from the aspects of industrial user load,commercial load and intelligent household load.Secondly,based on the clustering analysis and other data mining technology,this paper has established the power user behavior model,and constructed the load characteristic index system of power users under different power behavior modes.Using decision tree classifier,Bayesian classifier technologies and so on,this paper has extracted the main influencing factors of user's electricity behavior pattern and mined its influence mechanism.This paper has put forward the calculation method,the effect evaluation method and the potential analysis method of power user demand response,and provided scientific theory support for demand response business,which is favorable to demand response Strategy to develop the refinement,so as to give full play to its operational efficiency.Finally,this paper has set air-conditioning load as an example,considering the energy characteristics of air conditioning load and the requirement of human thermal comfort,this paper has analyzed the typical operation state of air conditioning system,and established the corresponding electricity model analysis model,which makes the air conditioning load can realize real-time response price in the change of the electric power market environment,and become a grid-friendly load,so the air conditioning load can be flexible to participate in the actual operation of the power system.