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

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...

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

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