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User cluster baseline load estimation method

A technology of user clustering and baseline load, applied in computing, data processing applications, forecasting, etc., to achieve the effect of improving accuracy, benefiting promotion and implementation, and improving estimation accuracy

Active Publication Date: 2021-05-07
TSINGHUA UNIV +2
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Problems solved by technology

[0004] The purpose of the present invention is to propose a method for estimating the baseline load of user clusters in order to solve the deficiencies of existing user cluster baseline estimation methods

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  • User cluster baseline load estimation method

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Embodiment Construction

[0033] The present invention proposes a method for estimating a user cluster baseline load, the method comprising the following steps:

[0034] 1) For a user cluster containing M (100≤M≤1000) users, extract the typical load pattern curve of each single user to obtain a set of typical load pattern curves of the user cluster; the specific steps are as follows:

[0035] 1-1) Obtain the daily load curve of each user i (i=1,2,...,M) for D consecutive days (5≤D≤30) before the selected demand response implementation day (D days are all non- demand response implementation day), which constitutes the daily load curve set P of the user i in D days i ={P i,1 ,P i,2 ,...,P i,D}; Among them, the daily load curve P of user i every day i,d ∈P i (d=1,2,...,D) by the load value P of the user at each sampling point on the day i,d (t) composition;

[0036] 1-2) Calculate the typical load value of each user i (i=1,2,...,M) at each sampling point t, the expression is as follows:

[0037] ...

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Abstract

The invention provides a user cluster baseline load estimation method, and belongs to the field of power system demand response. The method comprises the following steps: acquiring a typical load mode curve set of a user cluster, dividing the user cluster into a plurality of user sub-clusters, adopting sample entropy to quantify predictability of a load time sequence, taking the minimum user cluster overall sample entropy as an optimization target, and realizing the optimal division through a greedy clustering algorithm; adding the loads of all users in each sub-cluster after division as a whole, and estimating the whole load by using a baseline load estimation method to obtain a baseline load estimation value of each sub-cluster; and summing the baseline load estimation values of all the sub-clusters to obtain a final user cluster baseline load estimation result. According to the method, the accuracy of cluster baseline load estimation can be effectively improved, and implementation, popularization and application of excitation type demand response are facilitated.

Description

technical field [0001] The invention belongs to the field of power system demand response, and in particular relates to a user cluster baseline load estimation method. Background technique [0002] With the rapid development of the electricity market, demand response technology has gradually been widely used in the power system. According to different implementation methods, demand response can be divided into two types: price type and incentive type. For the incentive demand response, the system operator will purchase the incentive demand response service from the load aggregator during a specific period of time and pay the corresponding compensation; while the load aggregator will issue economic incentive signals to encourage its agent users to change their inherent power consumption patterns to meet the needs of system operators. In the transaction process between the system operator and the load aggregator, the user cluster participates in market transactions as a whol...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06393G06Q50/06
Inventor 李康平张宁吴丹赵志超史梦洁张玉天刘婧
Owner TSINGHUA UNIV
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