Power supply reliability fuzzy statistical method and device and computer readable storage medium

Abstract

The invention discloses a power supply reliability fuzzy statistical method and device and a computer readable storage medium, and the method comprises the steps: S1, obtaining basic data informationand historical power failure information in a statistical region; S2, calculating a power failure range according to the basic data information and the historical power failure information in the statistical area; S3, calculating outage duration time according to the basic data information and the historical power failure information in the statistical area; and S4, calculating the power failure time of the system according to the power failure range and the outage duration time. The power failure ranges and the power failure durations of the transformer substation, the feeder line and the distribution transformer can be evaluated by combining the basic data information and the historical power failure information, the average power failure time of the transformer substation, the feeder line and the distribution transformer is counted, a rapid fuzzy statistical method is provided for power supply reliability, and the problem that the power supply reliability is difficult to evaluate rapidly is solved.

Description

technical field [0001] The invention belongs to the technical field of power systems, and in particular relates to a fuzzy statistical method and device for power supply reliability and a computer-readable storage medium. Background technique [0002] Power supply reliability refers to the ability of the power supply system to continuously supply power. It is an important indicator for evaluating the power quality of the power supply system. It reflects the degree to which the power industry meets the power demand of the national economy. It has become one of the standards for measuring the degree of economic development of a country. After extending to low-voltage users, the number of low-voltage users is large and widely distributed. There are millions or even millions of low-voltage users in a large city. For example, the number of low-voltage users in Shenzhen Power Grid exceeded 3 million in 2017. Even small and medium-sized cities have tens of thousands to hundreds of ...

AI Technical Summary

Problems solved by technology

For the statistical work of low-voltage user power supply reliability, the biggest difficulty lies in the large number and wide distribution of low-voltage users, the large amount of basic data, and the difficulty in collecting operating data

At present, the statistics of power outage time are mainly based on grid topology and smart meters. The statistical accuracy is relatively high, but the equipment transformation investment and data verification time are too long

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