Analysis method of load reliability of distribution lines under typhoon weather

Abstract

The invention discloses a power distribution line load reliability analysis method under typhoon weather. The method comprises the following steps: firstly, according to a wind field model, determining the wind speed and the wind direction of each point in a wind field at each moment after typhoon lands; and combining with the load effect and the intensity probability density function of a lead and an electric pole in an electric power circuit so as to analyze the reliability degree of the whole circuit. If the electric power circuit is analyzed through the method, the wind loading rating of a circuit system can be effectively mastered, and typhoon disaster prewarning can be realized.

Description

technical field [0001] The invention relates to a reliability analysis technology of a power system, in particular to a method for analyzing the load reliability of a power distribution line under a typhoon weather. Background technique [0002] In recent years, all kinds of extreme meteorological disasters have occurred in the world from time to time, which have brought huge economic losses to the power system and the national economy. For example, in 2004, the strong typhoon "Yunna" landed on the Zhejiang power grid, causing multiple trips of 110kV and above transmission lines. A large area of ​​medium-voltage distribution lines was out of service, and the power facilities of the distribution network were seriously damaged, exposing the problem of the insufficient ability of the distribution system to withstand wind disasters. The reliability assessment and disaster warning of power transmission and distribution systems under extreme weather conditions are also increasingl...

AI Technical Summary

Problems solved by technology

At present, domestic and foreign studies on the load reliability of distribution lines under extreme meteorological disasters are still relatively rare, and most of the research results are concentrated on transmission lines: "Ice and wind load risk of overhead lines Modeling and Fuzzy Prediction" established a risk model of ice and wind loads on lines based on Canadian meteorological observation data, and analyzed the unreliability and failure rate of lines; Fault Probability Prediction" uses extreme learning machine and copula function to establish the joint probability distribution of ice and wind load, and predicts the risk of transmission line collapse and disconnection; in "IEEE TRANSACTIONS ON POWER SYSTEMS", Volume 26, Issue 1, 2011 "AMethodology for Evaluation of Hurricane Impact Composite Power System Reliability" is based on the fault data of transmission lines under historical hurricane weather, and uses fuzzy inference system to analyze the reliability of transmission and distribution lines under hurricane weather, but does not consider the influence of wind direction on line reliability. influences

Generally speaking, in the existing power system reliability assessment methods under disaster weather, there is still a lack of calculation models for obtaining line reliability parameters through meteorological conditions such as strong winds, and research on the operation risk of power distribution systems in typhoon weather is still relatively rare.

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