Fuzzy Logic Technique in Smart Grid Fault Detection
Fuzzy Logic Technique for Smart Grid Fault Detection
Dr. S G Srivani1 (IEEE Member), Abhishek Kumar2, Abhinav U Patil3, Praveen G4
Abstract—this paper introduces the general aspects of smart grid, which is the combination of many latest technologies for effective energy distribution and usage. Fault occurrence in power grid is one event which is completely unexpected. Out of many Computational Intelligence methods to deal with such an event Fuzzy Logic techniques are of most use. Fuzzy Logic helps us to incorporate the knowledge of human experts into the expert systems using qualitative expression. Fuzzy Logic can effectively be applied to the electric system fault detection because of its ability to deal with imprecision, incomplete data and its strong knowledge base.
Keywords—Fault, Smart grid, Fuzzy logic, Self-healing, Power system
I. INTRODUCTION Our current electric grid was conceived more than 100 years ago evolved after 1896, based in part on Nikola Tesla 's design published in 1888.current electricity grid is a result of decisions made for the first time using the limited and emerging technology available 120 years ago[1].
A smart grid is a form of electricity network utilising digital technology. The "Smart Grid" is envisioned to overlay the ordinary electrical grid with an information and net metering system that includes smart meters. Smart grids are being promoted by many governments as a way of addressing energy independence, global warming and emergency resilience issues. It is a tool that allows electric utilities to focus on evolving true business drivers by enabling cost containment, end-to-end power delivery control, and a more secure infrastructure. The grid is considered to have observability with nodes data integration and analysis to support advances in system operation and control. This includes power delivery integration and high level utility strategic planning functions. [2]
This paper first
Dr. S G Srivani1 (IEEE Member), Abhishek Kumar2, Abhinav U Patil3, Praveen G4
Abstract—this paper introduces the general aspects of smart grid, which is the combination of many latest technologies for effective energy distribution and usage. Fault occurrence in power grid is one event which is completely unexpected. Out of many Computational Intelligence methods to deal with such an event Fuzzy Logic techniques are of most use. Fuzzy Logic helps us to incorporate the knowledge of human experts into the expert systems using qualitative expression. Fuzzy Logic can effectively be applied to the electric system fault detection because of its ability to deal with imprecision, incomplete data and its strong knowledge base.
Keywords—Fault, Smart grid, Fuzzy logic, Self-healing, Power system
I. INTRODUCTION Our current electric grid was conceived more than 100 years ago evolved after 1896, based in part on Nikola Tesla 's design published in 1888.current electricity grid is a result of decisions made for the first time using the limited and emerging technology available 120 years ago[1].
A smart grid is a form of electricity network utilising digital technology. The "Smart Grid" is envisioned to overlay the ordinary electrical grid with an information and net metering system that includes smart meters. Smart grids are being promoted by many governments as a way of addressing energy independence, global warming and emergency resilience issues. It is a tool that allows electric utilities to focus on evolving true business drivers by enabling cost containment, end-to-end power delivery control, and a more secure infrastructure. The grid is considered to have observability with nodes data integration and analysis to support advances in system operation and control. This includes power delivery integration and high level utility strategic planning functions. [2]
This paper first
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