
Islanding detection technique based on superimposed components of voltage
Author(s) -
Makwana Yogesh M.,
Bhalja Bhavesh R.
Publication year - 2017
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2016.0942
Subject(s) - islanding , tripping , voltage , real time digital simulator , computer science , scheme (mathematics) , power (physics) , grid , electronic engineering , control theory (sociology) , engineering , distributed generation , electric power system , electrical engineering , circuit breaker , control (management) , physics , mathematics , artificial intelligence , mathematical analysis , geometry , quantum mechanics
This study presents a new islanding detection technique based on islanding discrimination factor which is derived from the superimposed components of voltages. These voltages are calculated by utilising the acquired voltage signals from the terminal of distributed generators. Various islanding and non‐islanding events with varying power mismatches have been simulated on two different widely used networks namely (i) IEEE 34 bus network and (ii) IEC61850‐7‐420 Micro‐Grid model in real time digital simulator (RTDS/RSCAD) environment. The authenticity of the presented scheme has been verified on diversified islanding and non‐islanding cases, generated from the above two models. The results indicate that the proposed scheme is able to distinguish islanding situation with non‐islanding events accurately. Moreover, it senses islanding condition quickly (within one and half cycle) even with perfect power balance situation and hence, eliminates non‐detection zone. In addition, it also provides better stability against nuisance tripping which is initiated due to various types of non‐islanding events including reconfiguration of the network. In the end, comparative assessment of the presented scheme with the scheme just published in the literature shows its domination in distinguishing islanding condition with non‐islanding events.