Competitive Equilibrium Model Of Demand Side And Analysis Of Algorithm In Smart Grid

With the rapid development of modern society the shortcomings of traditional power grid increasingly highlighted.The grid structure is irrational,the vulnerabilities of system security,inefficient operation,and the challenges associated with environmental issues and energy restructuring forced traditional power grid fundamentally reform.The emergence and development of the smart grid result in the corresponding transformation of operation system,in which the forecast of analysis and decision-making of a given market has become an increasingly important issue.On one hand because the traditional power market only based on the willing of generation side which leads to poor resource utilization;on the other hand the research of electricity market is enriched.The emergence of smart grid allows the user side participates in the market game,the user side,distribution side and generation side will take the initiative to pursue the maximization of individual profit.Therefore,general studies based on various game models.In this paper,the main consideration is to analyze demand response of electricity market based on competitive equilibrium.Specially,the article made the following work:(1)Summarizes the basis definition and characteristics of smart gird,and describe the development and research situation of domestic and international smart gird with its demand side response.We can learn more about cutting-edge theories and the latest developments in the field of smart grid-related.Estimating cost and efficiency studies through demand response,found that their potential value.(2)Analysis the structure of electricity market power flow and trade amount flow then determine the players of the game.While choose incentive demand response mode base on research information and theoretical analysis.According to electricity consumption needs and electricity price's demand response benefit and the domestic implementation of demand response price setting,then extract information feature,set the initial definition and assumptions of model.Using the game characteristics of competitive electricity market and demand side,distribute center,power grid's energy supply and trading characteristics establish the demand response model and game cost models.(3)In order to obtain the maximize profit of distribute center and user side,the related strategies are established.We discussed the characteristics of convex function,function optimality conditions and other mathematics problem,analyze the possibility that the user side and distribution center to get the best results and the conditions which satisfy equilibrium conditions.Using gradient projection method solves the bidding strategy of distribution center and found the relationship with user side bidding strategy.So we designed the distribution center's game iterative algorithm based on equilibrium strategy,and present an open global optimization algorithms.(4)According to optimization model's characteristic and bidding strategies of demand side response to future design a three-tier distributed interactive algorithm.A simple example demonstrates the feasibility and effectiveness of the distribute algorithm.Analyzing simulation graphics and data,the results show that using distributes algorithms can get the equilibrium solution of distribution center's optimization problem and the user side can obtain a satisfactory economic incentives and individual income.In addition,the open-ended question's simulation proves that it also can achieve the equilibrium solution and the more important this is global optimal solution as well.