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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

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.
Sensors and Materials
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Sensors and Materials, Volume 34, Number 9(4) (2022)
Copyright(C) MYU K.K.
pp. 3671-3683
S&M3068 Research Paper of Special Issue
https://doi.org/10.18494/SAM4028
Published: September 29, 2022

Applications of Common Information Model and Feeder Voltage Sensor to High-penetration Photovoltaic Systems [PDF]

Te-Tien Ku, Chia-Hung Lin, Chao-Shun Chen, Yih-Der Lee, Jheng-Lun Jiang, Cheng-Yu Chen, and Chen-Min Chan

(Received July 4, 2022; Accepted August 29, 2022)

Keywords: common information model, transformer terminal unit, feeder voltage sensor, renewable energy autonomous control

In this study, we design and install a transformer terminal unit (TTU) with a voltage sensor and apply data exchange technologies using a common information model (CIM) to measure the voltages at the ends of distribution feeders. The object-oriented CIM is used to transfer the facilities of the distribution mapping management system to a class represented by the relationship between association, aggregation, and inheritance. We propose a simple object access protocol (SOAP)-based architecture to improve the reliability and security of the data transfer. The proposed CIM is applied to the data transfer of the TTU to monitor the voltages at the ends of the feeders and to achieve supervisory control and data acquisition of the facilities in distribution systems with high-penetration photovoltaic power.

Corresponding author: Te-Tien Ku


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Te-Tien Ku, Chia-Hung Lin, Chao-Shun Chen, Yih-Der Lee, Jheng-Lun Jiang, Cheng-Yu Chen, and Chen-Min Chan, Applications of Common Information Model and Feeder Voltage Sensor to High-penetration Photovoltaic Systems, Sens. Mater., Vol. 34, No. 9, 2022, p. 3671-3683.



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