Abstract:
This paper proposes a new passive Islanding detection approach for the Inverter Interfaced Distributed Generators
(IIDGs) operating under different control modes. First, a novel
index is formulated using Root Mean Square (RMS) value of the
voltage and the frequency information, acquired at the Point of
Common Coupling (PCC) of the target DG. The index is then
post-processed by estimating the number of peaks and valleys
(Npk−v) in a cycle using the sliding window concept, which
indicates the occurrence of an event. Finally, the nature of the
event, i.e., Islanding or non-Islanding, is decided by exploiting
the two statistical features viz., Square of RMS (SRMS) of Npk−v
and Average Crest Factor (ACF m) of the proposed index. The
performance of the proposed method (P-IDM) is demonstrated
through comprehensive studies in PSCAD/EMTDC for the singlebus and IEEE 34-bus Active Distribution System (ADS). Also,
the real-time validation is performed for the IEEE 34-bus using
Controller Hardware-in-the-Loop (CHIL) setup comprising of
Real-Time Digital Simulator (RTDS) and dSPACE1104. The simulation and hardware results for different test systems indicate
that the proposed scheme, being generic in nature, sustains its
efficacy under various interface controls of IIDGs. Finally, a
comparative assessment with the other existing Signal Processing
(SP) based passive methodologies shows the supremacy of the
proposed method in terms of accuracy and faster detection.
