Open AccessA Technical Review on Self-Healing Control Strategy for Smart Grid Power 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/1055/1/012153
Subject(s) - smart grid , computer science , context (archaeology) , electric power system , grid , engineering , distributed computing , systems engineering , power (physics) , electrical engineering , paleontology , physics , geometry , mathematics , quantum mechanics , biology
The various advanced technologies incorporated in the existing power system to operate in smarter and to provide continuity of power supply without any disturbances. Still, it was few threats that disrupting the electrical network to manage the power demand such as: complexity of the power grid; vulnerability to faults; energy efficiency; and renewable energy integration. The above challenges indicate the perception of smart grid (SG). The smart grid design is economic, competent, intelligent and secured grid was needed to manage the above-mentioned issues. Self-healing is the most essential characteristics of a smart grid. The implementation of self-healing control strategy in the smart grid is one of the prolong challenge. It is the capability of the power system network to restore naturally the network when the fault occurs. It gives primary assurance to the smart grid protection. Apart from this, the implementation of various control strategies assist accomplishing the safe functioning, enhancing the stability of the grid. This paper presents the self-healing control strategy in the context of smart grid power systems. The significant advancements developed in the transmission, distribution, micro grid as a result of power electronics converters presented. Then, the information and communication technologies, software tools and measurements which can be employed for winning crucial smart grid self-healing action will be discussed.