Method for pre-judging potential high-quality energy storage user based on user side load curve

Abstract

The embodiment of the invention discloses a method for pre-judging a potential high-quality energy storage user based on a user side load curve. The method comprises the following steps: S100, acquiring power load data of the energy storage user; S200, collecting typical load data of the industry where the energy storage users are located in the area, processing the typical load data, and correspondingly drawing a load curve graph of the optimal energy storage user; and S300, performing clustering result analysis on the power utilization load of the energy storage users, and judging potentialhigh-quality energy storage users in the time-of-use electricity price area. According to the method, basic information of user load data is obtained; the method for judging whether the energy storageusers are high-quality energy storage users or not is provided for energy investment service providers by adopting a clustering analysis based mode; and a technical analysis reference basis is provided for enabling the energy investment service providers to better and accurately obtain potential energy storage target users in the area range and reasonably match corresponding energy storage equipment construction scales, so that the maximization of investment benefits is achieved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of energy storage user analysis, and in particular to a method for predicting potential high-quality energy storage users based on user-side load curves. Background technique [0002] In recent years, with the development of the power industry and the deepening of the reform of the power system, and the vigorous application and promotion of energy storage technology, energy storage users have gradually become one of the main businesses that various energy investment service providers compete for. The exploration of potential energy storage users in China mainly focuses on the acquisition of information in areas where peak and valley electricity prices are implemented, and peak and valley electricity prices are the way to obtain profit margins from energy storage. [0003] The current analysis of energy storage users is generally based on the user's load curve to analyze the user's e...

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Problems solved by technology

[0003] The current analysis of energy storage users is generally based on the user's load curve to analyze the user's electricity consumption behavior, but how energy investment service providers can accurately dig out potential energy storage users lacks effective technical analysis methods, although there are many technologies in China Load analysis applied to users, such as: cluster analysis method, load density method, regression analysis method, probability statistics method, trend analysis method, etc., but there is a lack of analysis and judgment methods especially for energy storage users

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