Economic Power Consumption Of Large Power Customers In The Electricity Market

With the continuous deepening of the power market reform,the establishment of power trading centers in various provinces and cities marks that the electricity sales business has been changed from the monopoly operation of grid companies in the past to the joint participation of power grid companies,generation companies and power retailors,and large power customers which participates in the market trading can enjoy more preferential electricity prices.The market orientation makes large power consumers pay more and more attention to economic power consumption,and take reducing power consumption cost as an effective means to improve market competitiveness.However,large customers should not only consider the price of electricity,but also consider how to organize production and how to carry out energy-saving transformation to achieve economic electricity consumption.As the local electricity market is put into operation,a large number of electricity sales companies in the main power trading agency business but also provide electricity advisory services.The trading rules of the power market are complicated,and only by mastering the trading rules can big consumers get more favorable electricity prices.In this paper,the power consumption of large customers is optimized from three aspects:electricity price implementation of large customers,production decision-making organization and investment in new energy equipment,and the potential of reducing electricity consumption cost of large customers is analyzed.First of all,this paper studies the common problems existing in large customers'economic power consumption before the electricity marketization,Based on the original electricity price structure,it analyzes the electricity consumption behavior of large customers that can reduce the electricity consumption and how to choose the charging method reasonably.For the case that the peak and valley power consumption of users is not considered in the balanced load ratio calculation method of power grid companies,the two-part and single-system electricity price comparison method considering the peak and valley power consumption is proposed.According to the adjustment of the demand declaration time after the reform of power marketization,the mathematical model of the optimal value of the maximum demand declared by large customers is established,and the solution is obtained by using GAMS software through the mixed integer linear programming method,and the economic benefits after optimization are analyzed.Secondly,the load characteristics of large customers are studied,and the power characteristics and peak and valley characteristics of large customers in some industries are analyzed.According to the interruptability and uninterruptability of large customers,this paper analyzes how to decide the normal production orders and temporary production orders of large customers,and solves the production problem by the unit combination model.Through the actual investigation of the production line and production technology for the slag powder production consumer and chemical pharmaceutical consumer,and the optimization model for the production organizationbased on the real data is proposed and sensitivity analysis is implemented.Finally,the paper studies the characteristics of medium and long-term trading and spot trading after power marketization,and analyzes how large customers choose to participate in medium and long-term trading or spot trading on the basis of existing model examples.A mathematical model for the large-scale "PV+ESS" energy management system under the day-ahead trading is established,the overall economics of the system operation is analyzed,and the peak shaving effect of the energy storage combined with PV equipment is analyzed through the real calculation examples of users.We also study the feasibility of large customers participating in the interruptible load,analyze the economics of the two different participation methods with the help of the production decision and the "PV+ESS" energy management system model examples.