NDLI: Smart reconfiguration using fuzzy graphs

Content Provider	IEEE Xplore Digital Library
Author	Dukpa, A. Venkatesh, B.
Copyright Year	2010
Description	Author affiliation: Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada (Dukpa, A.; Venkatesh, B.)
Abstract	Distribution Systems traditionally have a tree-like structure with several branches. They supply loads that vary through the day and as a result, some branches are loaded more than others are. By reconfiguring the system, loads from the overloaded branches may be moved to under-loaded branches. Consequently, loads in the branches can be balanced so that the real power losses are reduced and the voltage profile is improved. While Smart grid technologies in the future will facilitate real-time reconfiguration of distribution systems, it requires the use of efficient and fast methods. In that direction, this paper proposes a smart reconfiguration method without using load flow. It models the distribution system as a fuzzy graph using a data structure. It quantifies membership functions of edges of fuzzy graph using line impedance values and uses approximate MVA flow in the lines to characterize the fuzzy graph. Using the membership functions and line flow values, the method computes a fuzzy system participation function. The proposed method minimizes this function to balance the loads in the branches and consequently minimizes real power losses. The paper reports results from a sample system study to demonstrate the proposed method.
Starting Page	1
Ending Page	5
File Size	323137
Page Count	5
File Format	PDF
ISBN	9781424465491
ISSN	19449925
e-ISBN	9781424465514
e-ISBN	9781424483570
DOI	10.1109/PES.2010.5589534
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data structures Smart grids Monitoring Substations Load flow Renewable energy resources Electrical engineering Fuzzy Graphs Distribution System Smart Grid Reconfiguration
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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