Electricity selling company optimal profit method considering multiple types of loads

Abstract

The invention discloses an electricity selling company optimal profit method considering multiple types of loads, and the method comprises the steps of enabling an intelligent metering device to collect load data, and obtain a typical daily load curve of different types of participating loads in a current month; determining bilateral transaction electric quantity and electricity price of the totalload, and predicting spot market transaction electricity price according to the flat electricity price of different types of users; modeling the electricity price response behavior of the user basedon the peak-valley time-of-use electricity price, and constructing a profit model maximizing the profit of the electricity selling company; providing pricing strategies of three different types of users, and solving the pricing strategies by using optimization software to obtain an optimal profit strategy of the electricity selling company; responding optimal peak-valley time-of-use electricity price data, obtained by the model, of all types of users in the current month to change respective electricity utilization plans by the users through automatic demand response terminal equipment shutdown or operation power adjustment. The technical problem that existing e-commerce research content still lacks pricing strategies and income systems considering multiple types of user response behaviorsis solved.

Description

technical field [0001] The invention relates to the technical field of revenue optimization for electricity sales companies, in particular to an optimal profit method for electricity sales companies considering multiple types of loads. Background technique [0002] At present, the Internet of Things is widely used in the power industry in equipment asset management and maintenance, user power consumption information measurement and collection management, etc., and is deeply integrated with the smart grid, which is "Internet +" smart energy, which is the key to sinking basic data Connection, including small data on the energy and power user side, and brings more value-added services for market entities, such as energy finance, demand-side response, and information value-added services [1] . [0003] In addition, the opening of the electricity sales side breaks the traditional market transaction model, and trading institutions and third parties—electricity retailers become ne...

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Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide an optimal profit method for electricity retail companies that considers multiple types of loads, so as to solve the problem that the existing research content of electricity retailers in the prior art still lacks pricing that considers the response behavior of multiple types of users Technical issues such as strategy and income system

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