Real-Time Integrity Indices in Power Grid: A Synchronization Coefficient Based Clustering Approach

TL;DR

This paper introduces a real-time clustering method based on synchronization coefficients to identify coherent generator groups and system separation in power grids, aiding in dynamic stability analysis and islanding studies.

Contribution

A novel real-time clustering approach using synchronization coefficients and integrity indices for dynamic power system analysis and islanding detection.

Findings

Effective identification of generator groups and system separation.

Method is simple, fast, and computationally efficient.

Demonstrated on IEEE 118-bus system with promising results.

Abstract

We propose a new methodology based on modularity clustering of synchronization coefficient, to identify coherent groups of generators in the power grid in real-time. The method uses real-time integrity indices, i.e., the Generators Connectivity Index (GCI) that represents how generators are coherently strong within the groups, the Generator Splitting Index (GSI) that reveals to what extent the generators in different groups tend to swing against the other groups, and the System Separation Index (SI) which discloses the overall system separation status. We demonstrate how these integrity indices can be used to study the dynamic behavior of the power system. Furthermore, a comparison analysis is conducted between the synchronization coefficient (KS) and the generator rotor angle correlation coefficient (CC). The proposed indices demonstrate the dynamic behavior of power system following occurrence the faults and thus represent a promising approach in power system islanding studies. Our methodology is simple, fast, and computationally attractive. Simulation case performed on IEEE 118-bus systems demonstrates the efficacy of our approach.