Open AccessRelay logic for islanding detection in active distribution systems
Author(s) -
Vatani Mehrnoosh,
Amraee Turaj,
Ranjbar Ali Mohammad,
Mozafari Babak
Publication year - 2015
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2014.0373
Subject(s) - islanding , relay , microgrid , computer science , distributed generation , artificial neural network , decision tree , transmission (telecommunications) , control theory (sociology) , engineering , artificial intelligence , power (physics) , physics , quantum mechanics , renewable energy , electrical engineering , telecommunications , control (management)
This study presents a passive model to detect islanding conditions of synchronous distributed generation resources in a distribution network or a microgrid. The proposed approach uses the classification and regression tree algorithm for distinguishing between islanding and non‐islanding situations. It utilises the rate of change of frequency (ROCOF) and harmonic content of the equivalent reactance seen at the location of distributed generation as input features for decision tree construction. Indeed the thresholds of the proposed input features are extracted by the decision tree algorithm. The output if‐then rules of the decision tree algorithm are then utilised to make a new relay logic for islanding detection. The proposed scheme successfully classifies the input data with approximately zero non‐detection zone and prevent false operation of traditional scheme. The performance of the proposed protective algorithm is compared with the traditional ROCOF relay, artificial neural network and support vector machine techniques. The proposed method is implemented in a typical microgrid, which is connected to the transmission network of the dynamic WSCC three‐machine, 9bus test system with considering electric faults at upstream transmission and sub‐transmission networks.