User demand response potential portraying method

Abstract

The invention discloses a user demand response potential portraying method which comprises the following steps: fully extracting power utilization characteristics of a user under different time scalesthrough data mining to form an index evaluation system; carrying out de-dimension and normalization processing on the load characteristic index; index objective weights under the three demand response modes of rotation, time staggering and peak avoidance are obtained respectively; obtaining comprehensive potential quantized values under three demand response modes of user rotation, time staggering and peak avoidance according to an approximate ideal solution sorting method by combining a weighted index evaluation system; and clustering according to the user comprehensive potential quantized value by using a neighbor propagation algorithm, and segmenting the user into different feature groups to realize the portrait of the user demand response potential. The method can be suitable for determining the demand response type suitable for users of a certain feature group to participate in specific implementation of the demand response, meanwhile, the users meeting the requirements can be screened out according to the demand response measures, and a reliable basis is provided for evaluation and implementation of the demand response.

Description

technical field [0001] The invention relates to a corresponding analysis method for user demand in a power system, in particular to a method for drawing a potential portrait of user demand response. Background technique [0002] Due to the large differences in the load type, load importance, and load interruptibility of each user, the sensitivities of different types of users to date types, temperatures, prices, and policies are also different, resulting in different users' specific implementation needs. Diversity of potential in response. In order to more accurately and effectively gather demand response resources and explore response potential. It is necessary to extract the common characteristics and common laws of users' electricity consumption patterns based on in-depth analysis of data, and use this as an indicator to quantify demand response potential. According to the quantitative results, it provides a basis for the specific implementation of demand response, and ...

AI Technical Summary

Problems solved by technology

At present, many scholars in China have conducted research on this aspect, but most of the research involves a single demand response method, and the setting of evaluation system parameters is relatively small, which cannot fully and comprehensively reflect the user's electricity consumption pattern, and is not enough. A comprehensive summary of the user's electricity consumption law is lack of in-depth research and analysis on the results obtained based on the evaluation system

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