NDLI: Sensor optimization and placement for enhanced power system monitoring using entropy

Content Provider	IEEE Xplore Digital Library
Author	El-Mezyani, T. Srivastava, S.K. Cartes, D.A. Dustegor, D.
Copyright Year	2011
Description	Author affiliation: Center for Advanced Power System, Florida State University, Tallahassee, FL USA (El-Mezyani, T.; Srivastava, S.K.; Cartes, D.A.) \|\| College of Computer Engineering and Science, Prince Mohammad Bin Fahd University, Al Khobar, Kingdom of Saudi Arabia (Dustegor, D.)
Abstract	In this paper we propose a new methodology for sensor optimization and placement in a power system. The objectives of this study are to identify basic concepts on sensor optimization and placements to enhance the reliability and for efficient sensor data collection, processing, and transmission. Two approaches based on automatic control and information theory have been proposed. Condition of observability and fault detectability and isolability is developed to determine the optimal number of sensors and to determine the set of candidate sensors necessary for state estimation and fault detection and isolation. An entropy-based heuristic is proposed for the selection of the best sensors candidate that increases the information gain, thereby decreasing the drawback of system complexity and information uncertainty.
Starting Page	187
Ending Page	192
File Size	610644
Page Count	6
File Format	PDF
ISBN	9781424492725
e-ISBN	9781424492749
DOI	10.1109/ESTS.2011.5770864
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Silicon Power systems Mathematical model Observability State estimation Optimization
Content Type	Text
Resource Type	Article

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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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