Node voltage sag severity assessment method giving consideration to load importance

Abstract

The invention relates to a node voltage sag severity assessment method giving consideration to load importance, and the method comprises the steps: determining sag influence factors of loads at all levels based on an analytic hierarchy process, so as to quantify the load importance degrees; defining a system side index based on the sag influence factors of loads at all levels, so as to reflect theoverall impact on a node load from sag; determining a user side index through combining with an equipment voltage withstanding curve, and describing a fault risk that a sensitive load access node will withstand; assessing the voltage sag severity based on grey correlation analysis: determining an ideal optimal sample from samples as a reference sequence, calculating the correlation between each sample sequence and the reference sequence, and performing the integrated comparison and ordering of the assessed objects. The method can be used for the assessment of the severity of multi-node and multi-order voltage sags, and provides a basis for solving a power supply quality problem and a node voltage sag treatment problem.

Description

technical field [0001] The invention belongs to the technical field of electric energy quality, and in particular relates to a node voltage sag severity evaluation method considering load importance. Background technique [0002] With the wide application of voltage-sensitive equipment, such as microcomputers, programmable logic controllers, and AC speed controllers, problems such as damage to user equipment and interruption of industrial production processes caused by voltage sags are becoming more and more common. Cause heavy economic losses, bring bad political and social impact. Therefore, a reasonable evaluation of the voltage sag data recorded by the monitoring nodes is of guiding significance for controlling the voltage sag problem and improving the reliability of power supply. [0003] The voltage sag evaluation indicators proposed by researchers at home and abroad can generally be divided into system-side indicators and user-side indicators. The system-side indica...

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Problems solved by technology

[0005] Literature [1], "Risk assessment of financial losses caused by voltage sags (CHAN J Y, MILANOVIC J V, DELAHUNTY A. Risk based assessment of financial losses due to voltage sag [J]. IEEE Transactions on Power Delivery, 2011, 26(2 ):492-500.)", proposed a method to judge the severity of node sag by economic loss of node sag, this method visually shows the severity of node sag in the form of economic loss, but its evaluation Influenced by uncertain factors such as sensitive equipment and users' temporary economic loss, the fluctuation is relatively large

[0006] Literature [2], "Voltage sag-based network weak area identification part II: Evaluation of network performance using sag severity index (Liao H, Abdelrahman S, Guo Y, et al. Identification of weak areas of network based on exposure to voltage sags-part II: assessment of network performance using sag severity

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