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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 30, Number 4(2) (2018)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 791-802
S&M1539 Research Paper of Special Issue https://doi.org/10.18494/SAM.2018.1775 Published: April 27, 2018 Optimal Unit Commitment with Smart Metering Sensors on Short-term Ramp Rate for an Independent Power Grid [PDF] Shiue-Der Lu and Meng-Hui Wang (Received October 13, 2017; Accepted December 20, 2017) Keywords: thermoelectric and hydroelectric unit, smart power grid, wind and solar energy, smart power metering sensor, improved priority method, unit commitment, filtering-constraint implicit enumeration algorithm, ramp rate
In this study, we considered the flexible dispatch of thermoelectric and hydroelectric units in a smart power grid that includes a considerable amount of wind and solar energy. The parameters required for the generators were analyzed using real-world information provided by power companies through smart power metering sensors. We designed and tested an improved priority method and a filtering-constraint implicit enumeration algorithm to solve a large-scale unit commitment problem by means of nonlinear mixed integer programming. The algorithm, which was developed using MATLAB, avoided falling into local or infeasible solutions. A simulation proved that the priority method and algorithm successfully controlled ramp rates and optimized electrical power delivered through the grid, the system was secure, and the economic costs were minimal.
Corresponding author: Meng-Hui Wang Cite this article Shiue-Der Lu and Meng-Hui Wang, Optimal Unit Commitment with Smart Metering Sensors on Short-term Ramp Rate for an Independent Power Grid, Sens. Mater., Vol. 30, No. 4, 2018, p. 791-802. |
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