Abstract:
Globally, microgrid (MG) technologies have become
an important paradigm for integrating distributed resources (DR)
into power systems. Growing cost, burdens associated with transmission
and distribution infrastructure, and the environmental
issues associated with combustion of fossil fuels, has attracted
MG to provide electricity to various categories of customers.
Despite the advantages, numerous challenges are still hindering
the operation of MG working in harmony with conventional
power system such as voltage and frequency control, optimization
of distributed generation systems, islanding detection, power
quality, etc. Another such technical challenge is MG fault
detection, which must act in response to both the utility grid
and the MG faults, for the proper functioning of the system.
So, the idea of this paper is to provide a critical review of
various fault detection techniques, and to categorize them based
on the model based and data-driven based methods. It is also
hoped that this work will provide some future directions for
the researchers in discovering relevant references, and designing
appropriate detection techniques.
