Power network online safety stability analysis method

Abstract

The invention discloses a power network online safety stability analysis method. The method comprises the steps of S1, obtaining an alternating-current line in a power network, design parameters and geographic position information of an associated tower, and typhoon actual measurement data and forecast data, extracting power network range terrain information, and building a line-tower-terrain geographic model; S2, analyzing the typhoon actual measurement data and forecast data, calculating a line fault probability of falling into a typhoon disaster radiation zone, and building a probability model of a line fault caused by typhoon; S3, in combination with the calculated line fault probability, selecting a fault line, and forming a risk fault set caused by the typhoon; and S4, according to the risk fault set caused by the typhoon, performing power network online safety stability analysis to obtain a risk fault analysis result. The effectiveness and practicality of power network online safety stability analysis under typhoon disaster weather conditions are comprehensively improved.

Description

technical field [0001] The invention relates to the technical field of power systems, in particular to an online security and stability analysis method for a power grid. Background technique [0002] Following the rapid development of the national economy, the development of the power grid is accelerating, and its internal connections are becoming increasingly close. The failure of important equipment will lead to greater economic losses. Especially in the economically developed areas of the southeast coast, with the frequent occurrence of typhoon disasters, the test for the safe and stable operation of the existing interconnected AC-DC hybrid power grid is becoming more and more severe, and the risk of power outages is increasing. No matter how strong the power grid is, the impact of extreme weather on the power grid cannot be ignored. Combined with the existing big data environment, more and more data information can be used, and the online security and stability analysis...

AI Technical Summary

Problems solved by technology

[0003] At present, the actual measurement and prediction information of typhoon is mainly provided by the meteorological system, and the wind speed given by it does not consider the influence of micro-topography, and at the same time, due to the environmental constraints of surveying and monitoring, it is impossible to monitor the change of wind speed under different terrain conditions in real time and on a large scale

At the same time, the traditional online security and stability analysis mainly considers the impact of equipment failures under normal weather conditions, and does not effectively consider the risk of failures under typhoon disasters.

[0004] Therefore, the existing online safety and stability analysis considering typhoon disaster factors mainly has the following deficiencies: 1) The influence of micro-topography is not considered in the actual measurement and forecast data of typhoon; 2) The micro-topography information is only considered for simplification due to the limitation of surveying and mapping monitoring conditions ; 3) The risk of line failures caused by typhoons cannot be effectively assessed and pre-controlled

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