Research On Energy Value-Added Services And Retail Package Pricing Mechanism For The User

The opening of electricity market is promoting the rapid development of electricity retail.In the competitive power market,the sale of e-commerce agent transaction will become the new normal of the power market.In order to enhance user stickiness and enhance the competitiveness of power retailers in the electricity sale market,power retailers not only need to formulate scientific and reasonable retail packages,but also need to form customized value-added service system for users.The retail price of electric power,as the carrier reflecting the cost of power supply and the market value,is the key point of the design of retail package.As a key part of demand side management,demand response is an essential service to optimize power consumption behavior.The power retailer can not only act as an agent for users to conduct quotation trading in the bilateral market,but also act as a load aggregator to participate in the demand response market.Therefore,from the perspective of e-commerce sellers,this paper designs an energy value-added service system based on user load characteristics,builds a retail package pricing model considering demand response,and introduces demand elasticity,deviation assessment and other factors to explore the retail package pricing strategy of e-commerce sellers in the context of price based demand response.First of all,this paper sorts out the research background and significance of retail package pricing and value-added services,summarizes the theoretical research and practical status of retail package and demand response at home and abroad,and lays the foundation and research scope for the follow-up research.Then,the paper analyzes the typical daily load curve and load characteristic index of typical industrial users,general industrial and commercial users and residents,and quantitatively and qualitatively analyzes the load characteristic and load rule of users.In addition,the power package service based on user time-sharing characteristics,demand management service based on user regulation characteristics and deviation mutual guarantee service based on user complementary characteristics are proposed to form an energy value-added service system considering user load characteristics of different dimensions.Secondly,the paper analyzes the demand response mechanism in the energy value-added service system,analyzes the demand response mechanism from the two aspects of demand response agents and specific implementation projects,and puts forward the main classification of demand response,the definition of load aggregator and the service content.Based on the characteristics of user load,the characteristics of user demand response are analyzed.It is proposed that the main factor affecting user response is the adjustable capacity of electrical equipment,and the market participation of single user and the resource mobilization order of demand response are analyzed.Taking demand response elasticity as input condition,the demand response model of users is constructed.Finally,the paper put forward based on the pattern of response is divided into different types of retail packages,and analyses the relevant factors affecting electric power retailers,and set up wholesale market power purchase cost,fixed spending on marketing management,retail market sell electricity income,income of demand response compensation,and deviation assessment of electricity charge different influencing factors,such as relationship between price and demand function,This paper puts forward the retail package pricing optimization model based on demand response,and carries on the empirical analysis of the calculation example,and puts forward the division scheme of different optimization period design.Use can optimize the tool to solve the model,the empirical results show that the scheme for dividing the paper put forward two kinds of time optimization of load curve has certain effect to users,reasonable cut the peak valley difference at the same time,achieve the goal of the retailers’ interests,the two kinds of package though profit optimization with mixed results,but the price optimization results,the rationality of the model is verified,It can provide a basis for the pricing decision of power retailers.