Intelligent Electricity Consumption Service Recommendation Based On Software Social Network

Power system as an important part of the energy supply,can provide users with efficient and reliable power service.The development of two-way interactive smart grid,is bound to promote the user's electricity consumption patterns have undergone great changes.In the future of intelligent electricity consumption service system,in addition to providing users with qualified quality of power,power companies also need to provide users with timely information on electricity to guide users to rational use of electricity,so as to promote the development of two-way interactive power service between the user side and the power system.Therefore,intelligent electricity consumption system plays an important role in the development of smart grid.As an important platform for two-way interaction between the user side and the power system,the social network influences the user's decision-making of electricity consumption by promoting the indirect information interaction.Based on the analysis of the influence of social network,the thesis studies the behavior of residential electricity consumption under the time of use pricing mechanism.Each user is regarded as an individual in the social network,and its electricity consumption behavior is influenced by electricity price mechanisms and social networks.A model of intelligent electricity consumption service based on social network is established under the constraint of the lowest power consumption and stable power system load.The main research contents are as follows:First of all,the connotation of intelligent electricity consumption service is analyzed and elaborated from three aspects: intelligent home service,electric vehicle and energy storage device charging and discharging service,two-way interactive service between power system and the users.The related technologies of intelligent electricity consumption are introduced from three aspects: advanced metering infrastructure,electricity consumption information acquisition system and demand response.Secondly,the relationship between social network and intelligent electricity consumption is analyzed by using the idea of social network and recommendation system.Focusing on two aspects of analysis,the influence of social network on the mode of intelligent electricity consumption service and the influence of social network on residential electricity consumption,elaborated in detail the influence of social network on intelligent electricity consumption.Finally,on the basis of analyzing the residential electricity consumption characteristics and the influence of social network,this thesis sets up the intelligent electricity consumption service model based on the minimum electricity consumption and the smooth load of the power system.The simulation results show that this method can help users to reduce the electricity cost and guide the users' behavior of electricity consumption without affecting the normal power consumption of the users,and help to realize the intelligent electricity consumption.