User-side energy storage capacity configuration method based on typical daily load curve of enterprise users

Abstract

The invention discloses a user-side energy storage capacity configuration method based on a typical daily load curve of an enterprise user. Aiming at the typical daily load power curve of enterprise users, the present invention proposes a method for predicting the profit effect of energy storage configured by enterprise users, and proposes a daily charging and discharging scheme for batteries in combination with the calculated economically optimal energy storage configuration. In the present invention, the typical daily load curve of enterprise users is used as the pre-criterion to preliminarily screen out peak-valley difference users as target users for energy storage configuration; Constraints, traversing all possible energy storage configurations to obtain the economic optimal solution; finally, based on the optimal solution, formulate battery charging and discharging strategies to realize the functions of using batteries for demand management and peak shaving and valley filling. This method can reasonably predict the optimal allocation of energy storage for enterprise users, thereby avoiding blind investment in energy storage on the user side.

Description

technical field [0001] The invention belongs to the field of distributed energy, and in particular relates to a user-side energy storage capacity configuration method based on a typical daily load curve of an enterprise user. Background technique [0002] The construction of user-side energy storage system is an effective means to improve the daily electric power curve of enterprise users and save the electricity cost of enterprises. The configuration of a user-side energy storage system with a reasonable capacity can optimize the enterprise's load curve through two methods of demand management and peak shaving and valley filling, thereby achieving the purpose of reducing the actual electricity bill paid by the enterprise. As the price of energy storage batteries drops sharply, the profit margin for enterprises to configure energy storage increases, and more enterprises intend to make profits through the allocation of energy storage. Profit maximization is achieved through ...

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Problems solved by technology

However, none of the above documents involve the judgment of the user load curve type, and the use of the user-side storage battery in demand management is insufficient, resulting in a large configuration capacity of the user storage battery calculated, which increases the user's investment cost and investment risk

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