Identification of Islanding Events in Utility Grid With Renewable Energy Penetration Using Current Based Passive Method

Renewable energy (RE) generation levels are increasing in modern power systems at a fast rate due to their advantages of clean and non-exhaustible nature energy. However, this type creates technical challenges terms operation control uncertain un-predictable generation. Islanding is an operational scenario where there loss grid RE generators continue feed the local load. This has harmful effects on operating personal. Hence, it expected that islanding identified minimum time disconnected within 2 s duration after island formation. paper designed identification scheme (IDS) by designing current detection indicator (CIDI) combines features computed processing signals, negative sequence (NSC) voltage (NSV) using Stockwell transform (ST) Hilbert (HT). Information contained total harmonic distortions ( THD v ) xmlns:xlink="http://www.w3.org/1999/xlink">i also used while CIDI. non-islanding events category-I & II discriminated from each other comparison peak magnitude CIDI with first threshold value (FTV) second (STV). IDS effectively recognizes even noisy environment non-detection zone (NDZ) time. The efficiency greater than 98% noise 20dB SNR (signal ratio). performance proposed better compared discrete wavelet (DWT), Empirical mode decomposition (EMD), Slantlet Ridgelet probabilistic neural network (RPNN), artificial (ANN). effectiveness validated IEEE-13 nodes test system MATLAB software, practical distribution real use digital simulator (RTDS).