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

ISSN (print) 0914-4935
ISSN (online) 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
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)

Copyright(C) MYU K.K.
pp. 463-480
S&M2468 Research Paper of Special Issue

Big Data Analysis for Effective Management of Power Distribution Network

Xi Chen, Yuan La, Ji-Guang Zhao, Wei Zhang, and Ting-Cheng Chang

(Received July 20, 2020; Accepted November 16, 2020)

Keywords: information communication, big data, distribution network, intelligent, automated

To find a way to manage power distribution networks efficiently, we researched the use of big data analysis and established a model with mathematical functions to assess the benefit, risk, and economy of the power supply in a power distribution network. The necessary data were collected from the sensors in the network and analyzed with an algorithm using the particle swarm optimization (PSO) method. The powers from wind and solar energy were adopted as distributed power generation (DG) sources. The result of this study showed that the position of the access of the DG to the network is important as it affects the benefit and risk of the power supply for the network. We tested three different connections of the DG to the network, which had a 10% difference in the maximum power supply in the network. Along with the appropriate position of the DG access, the consideration of the risk assessment and the risk-taking also had a significant effect on the efficient management of the network. The model with the power supply risk function (Rps) required a four times higher power supply from the DG, yielding a higher power supply (11%) and overall benefit (44%) than those without the risk function. The degree of risk-taking also affected the management of the network as the result revealed that power supply management with high risk-taking needed less power from the DG (14%), less power supply (2%), and had one-third less overall benefit than those with low risk-taking. We expect the method and results in this study to provide a model for the effective management of a power distribution network with power from DG sources.

Corresponding author: Xi Chen




Forthcoming Regular Issues


Forthcoming Special Issues

Special issue on Novel Materials and Sensing Technologies on Electronic and Mechanical Devices Part 2(1)
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Hsien-Wei Tseng (Longyan University)


Special Issue on Materials, Devices, Circuits, and Analytical Methods for Various Sensors (4)
Guest editor, Chien-Jung Huang (National University of Kaohsiung), Cheng-Hsing Hsu (National United University), Ja-Hao Chen (Feng Chia University), and Wei-Ling Hsu (Huaiyin Normal University)
Conference website


Special issue on Novel Materials and Sensing Technologies on Electronic and Mechanical Devices Part 2(2)
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Hsien-Wei Tseng (Longyan University)


Special Issue on New Trends in Robots and Their Applications
Guest editor, Ikuo Yamamoto (Nagasaki University)


Special Issue on Artificial Intelligence in Sensing Technologies and Systems
Guest editor, Prof. Lin Lin (Dalian University of Technology)
Call for paper


Special issue on Novel Materials and Sensing Technologies on Electronic and Mechanical Devices (3)
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Hsien-Wei Tseng (Longyan University)


Copyright(C) MYU K.K. All Rights Reserved.