NDLI: Intelligent methodology to distribution systems diagnostic in smart grids perspective

Content Provider	IEEE Xplore Digital Library
Author	Silva, L.N. Knak Neto, N. Abaide, A.R. Bernardon, D.
Copyright Year	2015
Description	Author affiliation: UFSM, Santa Maria, Brazil (Silva, L.N.; Knak Neto, N.; Abaide, A.R.; Bernardon, D.)
Abstract	The Distribution System is the physical interface between the utility and consumers. In order to ensure the reliability in the power supply, a good expansion and operation planning is required. Moreover, the planning of system is important to the optimization of the investments made by the utilities. In this sense, the diagnostic of the distribution system under study is essential to establish appropriate planning solutions. By the inclusion of Smart Grid concepts, a more accurate system diagnostic becomes necessary, requiring different and complex analysis in order to reach a balance between the energy demand growing and the financial and technical restrictions. Thus, this paper presents a methodology based on Neuro-Fuzzy controllers that is able to obtain Grid Indexes, which evaluate the System Operability, its Intelligence Level and its Regulatory Standards. By combining it with traditional diagnostic parameter, it is expected to define more optimized solutions. The Neuro-Fuzzy controllers definition and the modeling of the input variables involved in the proposed diagnostic will be displayed in this paper.
Starting Page	1
Ending Page	6
File Size	498300
Page Count	6
File Format	PDF
e-ISBN	9781467396820
DOI	10.1109/UPEC.2015.7339935
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-01
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Distribution Diagnostic Indexes Standards Grid Indexes Regulatory Standard Distribution Intelligence Level Loading Distribution Planning Planning Smart grids Reliability Neuro-Fuzzy Artificial intelligence Smart Grid System Operability
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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