Study On Electricity Consumption Behavior Based On The Game Theory

With the rapid development of our economy and the demand for electricity continues to increase,the contradiction of energy supply and demand is increasingly serious,so the traditional power system has being put into serious challenges,and the development and construction of the smart grid has become the consensus of today’s power industry.As an important part of smart grid,demand response encourages and promotes users to attend power system operation and management to achieve between the grid and the users "smart interaction",and users adjust original electricity demand to achieve energy conservation and emissions reduction,and optimize the allocation of resources,alleviating effectively the contradiction of energy supply and demand,according to the market price signals or incentives.How users respond to the market price signals or incentives could be better to adjust electricity demand in demand the implementation of project,so that improving the reliability of the power system and the economics of market operation.That is one of the key issues which will determine the demand the implementation of project success or not in the future.Firstly,the basic concept and classification of demand response,and describes the current situation and practical help of demand response were introduced.The users as participants of response the market price signals or incentives to minimize their own electricity costs according to orderly use electricity in demand the implementation of project.How to determine every participant the best of electric strategy to balance and optimize interest of participant,that is the reason of put forward study on users’ consumption behavior based on the game theory.Secondly,the current divided of peak-valley time-of-use(TOU)price and the demand implementation of project were summarized and a peak load shifting model based on the desired value of peak-valley to solve single user of peak load shifting was proposed.User adjusts the electricity demand based on the desired value of peak-valley to minimize user’ consumption costs according to peak-valley incentive price.The simulation results show that the proposed method can achieve effectively the peak load shifting and the peak-valley load difference reducing.Finally,in order to solve the three-phase load unbalance and power peak load highlighted in distribution network,game theory and its’ mechanism of signal transmission is used in this paper.A non-cooperative game model of single-phase users’ consumption behavior based on dynamic game is proposed,which takes every phase user as a game player.The optimization objective is to minimize every user’ consumption costs in a whole period.The incentive price for three-phase unbalance suppressing and peak load shifting are considered in the cost function to guide the users’ consumption behavior.The particle swarm optimization algorithm is used to solve Nash equilibrium solution.The simulation results show that the proposed method can suppress the three-phase unbalance.And at the same time,the peak load shifting and the peak-valley load difference reducing can also be achieved.