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User-side energy storage capacity allocation method based on typical daily load curve of enterprise user

A technology of energy storage capacity and configuration method, which is applied in the energy industry, AC network load balancing, sustainable manufacturing/processing, etc., and can solve the problem of large battery configuration capacity, increased user investment costs and investment risks, and insufficient utilization of user-side configured batteries and other issues to achieve the effect of improving computing efficiency and saving investment for enterprise users

Active Publication Date: 2019-01-11
SOUTH CHINA UNIV OF TECH
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

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

Method used

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  • User-side energy storage capacity allocation method based on typical daily load curve of enterprise user
  • User-side energy storage capacity allocation method based on typical daily load curve of enterprise user

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Embodiment Construction

[0029] The present invention will be described in further detail below in conjunction with trial examples and accompanying drawings, but the implementation of the present invention is not limited thereto.

[0030] Such as figure 1 As shown, the user-side energy storage capacity allocation method based on the typical daily load curve of enterprise users includes the following steps.

[0031] Step 1: Enter the typical 96-point daily load power curve of enterprise users, and judge it as a user with peak-to-valley difference.

[0032] Step 2: Input the calculation parameters to estimate the annual electricity bill of enterprise users before energy storage configuration. The calculation parameters include: transformer capacity, basic electricity tariff for capacity, basic electricity tariff for demand, peak electricity price, low valley electricity price, flat section electricity price and the billing corresponding to each electricity price Market electricity price information suc...

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Abstract

The invention discloses a user-side energy storage capacity allocation method based on a typical daily load curve of an enterprise user. A method for predict profit effect of energy storage configuration of enterprise user is provided according to typical daily load power curve of enterprise user, and a daily charging and discharging scheme of battery is propose according to the calculated economical optimal energy storage configuration. At first, the invention take the typical daily load curve of an enterprise user as a pre-criterion, and initially screen out a peak-valley difference user asa target user of energy storage configuration; Combined with the investment budget of enterprise users, peak and valley electricity price information, energy storage market price, physical constraintsof battery, traverse all possible energy storage configuration to obtain the economic optimal solution; Finally, based on the optimal solution, the battery charging and discharging strategy is formulated to realize the functions of demand management and peak clipping and valley filling by using the battery. The method can reasonably predict the optimal economic allocation of energy storage for enterprise users, so as to avoid 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 ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/32H02J3/46
CPCH02J3/32H02J3/46Y02P80/10
Inventor 刘泽健杨苹纪超高瑞陈锦涛吕宇桦陈滢
Owner SOUTH CHINA UNIV OF TECH
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