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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 33, Number 4(2) (2021)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 1273-1285
S&M2533 Research Paper of Special Issue https://doi.org/10.18494/SAM.2021.3165 Published: April 14, 2021 Implementation of Feeder Automation Using Colored Petri Nets [PDF] Chia-Hung Lin, Chung-Sheng Li, Te-Tien Ku, and Chin-Ying Ho (Received September 8, 2020; Accepted February 2, 2021) Keywords: feeder automation, distribution automation system, colored Petri net, remote terminal unit, feeder terminal unit
Feeder automation is one of the major functions of the distribution automation system (DAS) of Taiwan Power Company (Taipower). Feeder automation reduces the customer outage duration when a fault contingency occurs in a distribution feeder. In feeder automation operation, the feeder terminal unit (FTU) measures and monitors the voltage and current sensors of distribution line switchgear in real time. To propose the service restoration strategy for more efficient feeder automation, an inference mechanism using a colored Petri net (CPN) is employed to derive appropriate switching operations by considering the operational constraints of a distribution system. A CPN model for feeder automation that includes automatic line switches and circuit breakers is proposed for fault detection, isolation, and restoration (FDIR). To demonstrate the effectiveness of the proposed methodology, the computer simulation of a Taipower distribution system with 18 feeders is carried out. The results show that the proposed CPN model can be applied efficiently for the FDIR of the distribution system.
Corresponding author: Chia-Hung Lin  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Chia-Hung Lin, Chung-Sheng Li, Te-Tien Ku, and Chin-Ying Ho, Implementation of Feeder Automation Using Colored Petri Nets, Sens. Mater., Vol. 33, No. 4, 2021, p. 1273-1285. |
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