Event Occurrence Model for Power Distribution System Based on Data Eigenvalue Behavior Analytic

TL;DR

This paper presents a novel model for power distribution networks that analyzes eigenvalue behavior to detect system events, combining power system modeling with eigenvalue distribution analysis for improved event detection.

Contribution

It introduces a new eigenvalue-based analytical model for power distribution systems that links eigenvalue behavior to network events, enhancing system monitoring capabilities.

Findings

Eigenvalue behavior correlates with network events

Model effectively captures event-induced eigenvalue changes

Improves detection of system anomalies

Abstract

This paper describes a model for power distribution network, which is hten utilized for eigenvalue behavior distribution analysis. We utilized the compensation theory to model the event that occurs in the network and derived the relation between the system nodal voltage eigenvalues and the occurrence of events. The paper combines the power system model with the eigenvalue distribution analysis.