NDLI: Efficient electricity grid management for distributed generation using a fuzzy logic-based multicasting technique

Content Provider	IEEE Xplore Digital Library
Author	Ansari, A.Q. Nangia, V.K.
Copyright Year	2010
Description	Author affiliation: Department of Electrical Engineering., Jamia Millia Islamia, New Delhi, India (Ansari, A.Q.) \|\| Department of Computer Science & Engineering., Maharaja Surajmal Institute of Technology, New Delhi, India (Nangia, V.K.)
Abstract	Steadily increasing needs for electrical power, progress in power deregulation, tight construction constraints on new high voltage lines for long distance power transmission, and global environmental concerns have created increased interest in alternative energy generation. Hybrid combination of such sources can significantly improve their reliability and better deliver power to customer loads while complementing the centralized electricity. Such distributed generation systems should be able to exploit significant economic gains from the variations in energy cost per unit which can exhibit both temporal and geographic variations due to regional demand differences and generation diversity. Flexible, coordinated and adequate electricity networks - designed according to new architectural schemes and embedding innovative technological solutions - are key to address major challenges in energy systems. We propose application of a fuzzy logic-based multicast path computation model for an efficient management of the dynamic and complex distributed power generation and distribution networks.
Starting Page	1
Ending Page	6
File Size	345348
Page Count	6
File Format	PDF
ISBN	9781424477821
e-ISBN	9781424477814
DOI	10.1109/PEDES.2010.5712478
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-20
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electricity Artificial neural networks Pragmatics Distributed power generation Optical wavelength conversion Receivers Power distribution Distributed generation Electricity grid management Intuition logic Minimum spanning tree Multicast communication
Content Type	Text
Resource Type	Article

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