Open AccessA Technical Review on Classification of Various Faults in Smart Grid Systems
Author(s) -
D Sarathkumar,
Mahesh Srinivasan,
Albert Alexander Stonier,
Ravi Samikannu,
D. Nageswara Rao,
Raymon Antony Raj
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1055/1/012152
Subject(s) - smart grid , electric power system , fault (geology) , automation , computer science , identification (biology) , smart power , grid , task (project management) , fault detection and isolation , reliability engineering , distributed computing , systems engineering , embedded system , engineering , power (physics) , electrical engineering , artificial intelligence , actuator , biology , mechanical engineering , seismology , physics , botany , geometry , mathematics , quantum mechanics , geology
Increasing the technological developments of smart sensors, Information and communication tools (ICT) the traditional electric power systems have emerged with the improvement of Smart grids. Smart grid is defined as a modernized electric power grid with the integration of ICT tools and distributed generation (DG) resources into existing power system to provide continuous, stable and quality of power to all. Present smart grid electric power system network, the fault identification and mitigation is one of very critical task. Current power system structure transformed remarkably due to extension and integration of enormous amount of DG resources at delivery side. To confront the limitations of smart grids, existing fault identification and mitigation methods requires immoderate revision by making use of excellent facilities and tools. That will be useful to attain automation in fault detection, enhance the voltage stability, transient stability, and self-healing ability to perform the desired task. This paper is going to presents a detailed survey about target on various types of faults and fault detection methods in smart grids.