Novel power system load curve clustering method

A load curve and power system technology, applied in the field of power system, can solve the problems that the shape or contour similarity of time series cannot be fully guaranteed, and it is easily affected by extreme values ​​and noise, and achieves the effect of stable algorithm and accurate classification.

Inactive Publication Date: 2017-02-22
STATE GRID FUJIAN ELECTRIC POWER CO LTD +3
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Problems solved by technology

However, the above method also has shortcomings. The essence of using Euclidean distance is the similarity of the geometric mean distance, which

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  • Novel power system load curve clustering method
  • Novel power system load curve clustering method
  • Novel power system load curve clustering method

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Embodiment Construction

[0022] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0023] This embodiment provides a novel power system load curve clustering method, such as figure 1 As shown, it specifically includes the following steps:

[0024] Step S1: Obtain the daily load curve active power data of the load to be classified or the daily load curve of the transformer for more than 5 working days from the monitoring control and data acquisition system;

[0025] Step S2: For the daily load curve active power data obtained in step S1, take the average value of all working days for each load or transformer at each moment as the typical user load curve;

[0026] Step S3: Standardize the user typical load curve obtained in step S2, using the maximum value normalization method, that is, p ij =p ij / p imax , formula p ij where is the power of user i in the jth period, p imax is the maximum power consumption of user i;

[0027] Ste...

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Abstract

The invention relates to a novel power system load curve clustering method. The novel power system load curve clustering method comprises the following steps: step S1, obtaining daily load curve active power data in five or more days of loads or transformers to be classified from a monitoring, controlling and data-collecting system; step S2, taking a mean value of all workdays at every moment of each load or transformer as a user typical load curve according to the daily load curve active power data obtained in the step S1; step S3, carrying out standardization treatment on the user typical load curve obtained in the step S2; step S4, culturing the user typical load curve by using an affinity propagation algorithm to obtain preliminary classification results; step S5, calculating a user load form characteristic index, and carrying out min-max standardization treatment to obtain a standardized load form characteristic index; and step S6, carrying out secondary classification on the preliminary classification results in the step S4 based on the standardized load form characteristic index obtained in the step S5.

Description

technical field [0001] The invention relates to the field of power systems, in particular to a novel power system load curve clustering method. Background technique [0002] With the development of smart grid technology, various advanced measurement devices have been widely used in power systems. The power generation, transmission, distribution, and power consumption of the power system generate massive amounts of data. How to extract valuable information from massive power data is a current research hotspot in power systems. In the electricity market, electricity sellers need to implement differentiated marketing based on the characteristics of users' time-sharing electricity consumption behaviors to reflect the differences in electricity costs in different periods of time on a daily time scale. However, the number of power users is huge, and it is difficult to formulate marketing rules for each user. It needs to be classified according to the characteristics of users' el...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/232
Inventor 张逸吴文宣陈金祥刘文亮熊军黄道姗林焱吴丹岳彭勃
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD
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