A PMU Based Islanding Detection Scheme Immune to Additive Instrumentation Channel Errors

Abstract

Traditional synchrophasor measurement-based islanding detection techniques have primarily relied on voltage angle measurements and/or their derivatives for successfully detecting islands. However, relatively high instrumentation channel errors associated with phasor measurement unit (PMU) data, can significantly degrade islanding detection accuracies. In this paper, a new islanding detection scheme employing cumulative sum of change in voltage phase angle difference (CUSPAD) is proposed, which is immune to additive instrumentation channel errors in the PMU measurements. The robustness of the proposed islanding detection algorithm is established through application to an 18-bus test system and the IEEE 118-bus system having different wind energy penetration levels. Comparative analysis of the accuracies of the proposed approach (CUSPAD) and the conventional angle difference (AD) approach prove the former's superior performance when additive instrumentation channel errors are present.

Islanding detection by phase difference method using a low cost quasi‐PMU

“…Methods which apply machine learning to synchrophasor data have been proposed [22,27]. Instrumentation errors affecting synchrophasor measurements applied to islanding detection are considered in [28].…”

Identification of Utility-Scale Renewable Energy Penetration Threshold in a Dynamic Setting

“…Figure 1 shows the steady increase in penetration of renewable generation resources in the US electric grid [3]. However, from the perspective of reliability, a power system with high penetration of renewable energy resources is more difficult to manage [4]- [5].…”