Multi-attribute decision tree power grid stability margin assessment method based on linear discrimination analysis

Abstract

The present invention discloses a multi-attribute decision tree power grid stability margin assessment method based on linear discrimination analysis. a key variable discovery model is established based on the offline simulation data and the real-time monitoring data of a power grid to perform effective screening of historical sample data to reduce the data dimensions, a combination relation model among key variables is established to discover the association relation among the variables, extract combination features capable of reflecting important degree contrast of each variable, establish the association relation between the power grid operation state and the transient stability margin, determine the main reasons of system stability level changing, form a concise and accurate knowledge rule base and regulate the decision reference so as to rapidly assess the current stability level according to the system operation state, provide quantification information support for operators' auxiliary decisions and improve the standardization, the rapidity and the adaptive capability of the power grid stability assessment, and therefore the multi-attribute decision tree power grid stability margin assessment method based on the linear discrimination analysis has wide application prospects.

Description

technical field [0001] The invention relates to the technical field of power grid security, in particular to a multi-attribute decision tree power grid stability margin evaluation method based on linear discriminant analysis. Background technique [0002] The traditional power grid monitoring system (SCADA) is difficult to obtain real-time information after system faults. The transient stability analysis and decision-making of the power grid usually conducts offline analysis for the expected fault set, and then gives auxiliary decisions, and then the dispatcher performs the final operation based on his own experience. However, with the access of large-scale renewable energy and the expansion of grid interconnection scale, the security and stability analysis and dispatching operation control of the power system are facing more severe tests. The traditional production method of "manual experience judgment + online computing aided decision-making" can no longer meet the complex...

AI Technical Summary

Problems solved by technology

However, some algorithms are too complex and time-consuming, which is not conducive to rule discovery and online application

The decision tree algorithm has the characteristics of simple algorithm, easy access to rules, quick judgment, and suitable for online applications. However, most of the traditional decision trees are single-attribute decision trees, which lack the acquisition of the relationship between electrical quantities.

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