An Automatic Selection Method of Anticipated Accidents Based on Aggregation Theory

Abstract

The invention discloses a contingency automatic selection method based on an aggregation theory. The contingency automatic selection method is based on the aggregation theory, fully considers the influence of network topology and power flow distribution, proposes an on-off betweenness index for identifying critical lines in contingency screening, combines a community discovery algorithm for aggregating power transmission lines of a power network, and takes contact lines among aggregation grids as a contingency set. The contingency automatic selection method does not need to conduct on-off flow calculation, greatly reduces calculation machine hour while ensuring precision, and is suitable for real-time performance requirement of large grid safety analysis. Finally, an IEEE-30 node and an IEEE-118 node are taken as an example, the superiority of the contingency automatic selection method is proved through comparing the contingency automatic selection method with a traditional contingency screening method in the aspects of time and precision.

Description

technical field [0001] The invention relates to a predictive accident automatic selection method based on aggregation theory. Background technique [0002] Static security analysis of power system is of great significance to the safe and economical operation of power system, and can effectively prevent large-scale accidents in power system. A complete static safety analysis needs to continuously use AC power flow analysis to calculate all possible anticipated accidents, but the amount of calculation is too large to meet the real-time requirements. Carrying out research on automatic selection of anticipated accidents is of great significance to improve the evaluation quality of power system static safety analysis and ensure the safe operation of power system. [0003] The traditional analysis of the selection of foreseen accidents usually has two types of processing methods: direct method and indirect method. The former uses fast approximate power flow solution or partial ne...

AI Technical Summary

Problems solved by technology

This algorithm improves the accuracy of predictive accident analysis, but it will cause problems such as excessive communication burden when there are too many distribution network systems and the operation mode changes.

There are also existing literatures that have improved the calculation method of predicting the interruption of power flow due to accidents, so that the calculation speed meets the real-time requirements of large-scale interconnected power grids. However, when the network structure and operation mode change, the admittance matrix needs to be recalculated, increasing The amount of repeated calculations makes it difficult to display the expected accident set in real time

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