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A distributed k-means power user classification method, storage medium and classification equipment

A technology of power users and classification methods, applied in data processing applications, data processing power supplies, electric digital data processing, etc., can solve the problems of inconvenient demand response mechanism and different types of typical users

Active Publication Date: 2022-05-20
XI AN JIAOTONG UNIV +2
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  • Claims
  • Application Information

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Problems solved by technology

However, due to the constraints of competition, protection of user privacy and other factors, load aggregators generally do not share user electricity data, which will lead to different types of typical users obtained by different load aggregators. It is inconvenient for multiple load aggregators to participate in the electricity market and formulate a demand response mechanism

Method used

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  • A distributed k-means power user classification method, storage medium and classification equipment
  • A distributed k-means power user classification method, storage medium and classification equipment
  • A distributed k-means power user classification method, storage medium and classification equipment

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Experimental program
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Embodiment

[0080] In a kind of consistency-based distributed K-means power user classification method of the present invention, there are 5 load aggregators, and the number of users managed by each load aggregator is as shown in Table 1:

[0081] Table 1. Number of users managed by each load aggregator

[0082]

[0083] Each load aggregator performs distributed K-means clustering on the 48-point daily load time-series data of users on the same day, and the number of cluster centers is set to 5.

[0084] Each of the five load aggregators obtains the electricity consumption data of all power users under management on the same day, including the number of power users and 48 points of daily load time series data, starting from 00:00 of the day to 23:30 of the day, every half The daily load time series data obtained by hourly sampling.

[0085] Each load aggregator performs a normalization operation on the daily load time-series data of the electricity users managed by them according to a...

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Abstract

The invention discloses a distributed K-means power user classification method, a storage medium and a classification device. Each of N load aggregators obtains the power consumption data of all power users managed; Normalize the daily load time-series data; form an N×N-dimensional adjacency matrix A; perform K-means clustering on the normalized daily load time-series data to obtain the respective cluster centers and the User groups; based on the adjacency matrix A, the load aggregators share the clustering center and the number of users under each clustering center, and finally multiple load aggregators obtain the same clustering center; after the overall iteration, each load aggregator All get the same clustering center, and this clustering center is consistent with the K-means clustering center based on global data to realize user classification. The invention can realize the globally consistent power user classification under the condition that the load aggregator does not share the user power data.

Description

technical field [0001] The invention belongs to the technical field of power system demand side information management, and in particular relates to a consistency-based distributed K-means power user classification method, a storage medium and a classification device. Background technique [0002] With a large number of intermittent renewable energy sources such as wind power and photovoltaics, as well as flexible loads such as heat pumps and electric vehicles, connected to the grid, grid operators are facing increasing pressure to balance supply and demand. In this context, the demand response mechanism on the user side will become an essential resource for the stable operation of the power grid. [0003] Residential load, as an important demand response resource, requires load aggregators to act as intermediate agents, and then participate in demand response services uniformly after aggregation. Furthermore, the load aggregator can classify residential users based on the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06F21/62G06Q10/06G06Q30/02G06Q50/06
CPCG06F21/6245G06Q10/0637G06Q30/0201G06Q30/0202G06Q50/06G06F18/23213G06F18/241G06Q30/0205G06F16/285Y02D10/00G06F1/28G06F17/16
Inventor 黄玉雄李更丰张理寅姜江枫杨世海陈星莺曹晓东余昆
Owner XI AN JIAOTONG UNIV
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