Exploration and investigation of potential precursors to unintentional islanding in grid-interfaced solar photo voltaic systems

Computational geometry‐based methodology for identification of potential islanding initiators in high solar PV penetration distribution feeders

“…The trend has been captured in the RTDS run and the anomalous peak observed at the ending stage. The severity of this anomalous current in causing unintentional islanding of a feeder section is explained and verified in our work on laboratory emulators reported in [16]. An over current relay at 671–692 whose threshold has been calculated by the static fault study carried in the cited work has directional protection and hence the reverse grid‐side current of the anomaly whose is a potential island initiator.…”

Multivariate Statistics and Supervised Learning for Predictive Detection of Unintentional Islanding in Grid-Tied Solar PV Systems

“…The 30 ms window during and after the disturbance is important for this study from the perspective of data extraction. The circled peak is an anomaly whose severity to cause islanding is explained and verified in [26] which also verifies the occurrence of a similar peak for the same set of conditions on a single-phase, single bus system implemented in emulators and related hardware. An overvoltage disturbance, symmetrically 1.3 pu of the nominal voltage amplitude, was programmed to occur from the grid side for 30 ms from = 0.45 s to 0.48 s. The resulting grid-side anomalous current shown in Figure 6 was not proved to be severe enough to lead to section islanding.…”

“…Class label 0 = all data points ∈ set of cases that cannot cause islanding while class label 1 = all data points ∈ set of cases that can cause islanding. Physically, this corresponds to all currents > 0.1 kA as decided from the static fault study explained in [26]. Three training data sets were used as a composite training data set.…”