Online Coherence Identification Using Dynamic Time Warping for Controlled Islanding

TL;DR

This paper introduces an online method for generator coherence identification using PMU data and dynamic time warping, aiding controlled islanding to prevent blackouts by maintaining system stability.

Contribution

It presents a novel real-time coherence detection technique combining DTW and spectral clustering, improving upon existing methods for system stability during islanding.

Findings

Accurately identifies generator coherence in real-time.

Reduces power flow disruption during islanding.

Validated on IEEE 39-bus system with superior performance.

Abstract

Controlled islanding is considered to be the last countermeasure to prevent system-wide blackouts in case of cascading failures. It splits the system into self-sustained islands to maintain transient stability at the expense of possible loss of load. Generator coherence identification is critical to controlled islanding scheme as it helps identify the optimal cut-set to maintain system transient stability. This paper presents a novel approach for online generator coherency identification using phasor measurement unit (PMU) data and dynamic time warping (DTW). Results from the coherence identification are used to further cluster non-generator buses using spectral clustering with the objective of minimizing power flow disruption. The proposed approach is validated and compared to existing methods on the IEEE 39-bus system, through which its advantages are demonstrated.