Research On Contract Electricity Price Model Under Active Demand Response

At the present stage,China is in the critical period of deepening the reform of power market.It is urgent to break the monopoly and introduce a good competition mechanism,and the superiority of the power market can be determined from the feedback of electricity prices and incentives in the demand-side response.So how to reasonably formulate the demand response project,guide and assist the terminal users to actively participate in demand response projects to adjust their consumption model.Then,improve the power system load curve can be further realized on the basis of reducing the energy consumption and the electricity price.Therefore,this paper conducts research and analysis on the optimization of power resource utilization on the demand side.This paper introduces the concept of demand response and combines the research status at home and abroad.It discusses the characteristics of user’s active demand response and the characteristics of power trading market.This paper puts forward several basic requirements for the formulation of active demand response strategy.Combining with the practical problems existing in the residents’ demand response,a control strategy model—contract electricity price—is established,which takes into account the user’s electricity structure,the electricity price incentive and the market purchase cost.It aims to guide users to improve the mode of electricity consumption as much as possible under certain price incentive conditions.Finally,the improved genetic algorithm NSGA-II is used to establish a multi-objective optimization function for maximizing the benefit of users and maximizing the revenue of sales companies.The MATLAB example simulation controls the contract power threshold,load transfer rate,market purchase cost and power balance.The simulation results show that the strategy can effectively adjust the user’s mode and improve the load curve of the power system.The comparative analysis of economic benefits in different ways of users shows that this strategy can guide and assist users to actively participate in the project.It greatly improves the demand response consciousness of power users and optimizes the rational distribution of power market demand side energy.