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Power distribution network equipment abnormal event association analysis method based on big data

An event correlation and equipment abnormality technology, applied in data processing applications, electrical digital data processing, digital data information retrieval, etc., can solve the problem of lack of quantitative evaluation and analysis methods, affecting power grid security and power supply reliability, frequent Power outages and other problems to achieve the effect of improving power supply reliability and promoting quality and efficiency

Pending Publication Date: 2022-08-05
JIANGSU ELECTRIC POWER CO
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AI Technical Summary

Problems solved by technology

The operation and maintenance, maintenance, and emergency repair of the current distribution network are carried out based on a single event. There is a lack of quantitative evaluation and analysis methods for the accompanying relationship between events, and it is impossible to carry out multi-objective joint operation and maintenance, maintenance, and emergency repair for events with potential correlations between equipment. Causes abnormal events to occur one after another and frequent power outages of the same distribution network equipment, which affects the safety of the power grid and the reliability of power supply

Method used

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  • Power distribution network equipment abnormal event association analysis method based on big data
  • Power distribution network equipment abnormal event association analysis method based on big data
  • Power distribution network equipment abnormal event association analysis method based on big data

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Embodiment Construction

[0041] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0042] The present invention is as figure 1 shown, including the following steps:

[0043] Step (1), correlation prediction based on the proportion of associated event equipment. In this way, through the analysis of the proportion of the number of distribution variables in each pair of event combination scenarios to the total number of distribution variables in each event, the event combination scenarios that can be considered as st...

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Abstract

The invention discloses a big data-based power distribution network equipment abnormal event association analysis method. The method comprises the following steps of: pre-judging association based on an associated event equipment proportion; calculating a single distribution transformer event correlation coefficient based on the number of event interval days; correlation degree calculation of two types of events considering a distribution transformer correlation coefficient concentration degree; and judging the degree of association of the two types of abnormal events. The method has the beneficial effects that the association relationship and association degree among the abnormal events of the distribution network equipment are quantitatively analyzed, and the associated law of the abnormal events of the distribution network equipment is identified in an auxiliary manner, so that potential risks of power grid operation are evaluated and pre-judged in advance, active operation and maintenance and active overhaul work of the distribution network are supported, accurate strategy is realized, power supply reliability is efficiently improved, and the power supply efficiency is improved. And power grid quality and efficiency improvement is promoted.

Description

technical field [0001] The invention belongs to the technical field of distribution network operation analysis, and in particular relates to a method for correlation analysis of abnormal events of distribution network equipment based on big data. Background technique [0002] With the development of society and national economy and the rapid improvement of people's living standards, there are higher requirements for power supply reliability and power quality. The power system, especially the distribution network system, is multi-faceted and wide-ranging, and will be affected by various external factors during the operation process. During the operation of the distribution network equipment, abnormal events such as overloading, low voltage, and three-phase imbalance often occur. There is a correlation between equipment outages, and there are associated phenomena between abnormal events, which are important factors affecting the reliability of power supply and high-quality pow...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06Q10/06G06Q50/06
CPCG06F16/2465G06F16/2462G06Q50/06G06Q10/0635G06F2216/03Y04S10/50
Inventor 徐力赵越杨川秦晓霞濮实汪波孟骁王标
Owner JIANGSU ELECTRIC POWER CO
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