Cost-Effective Data Aggregation Method for Smart Grid

Finding a more efficient use of energy is an important problem that needs attention. Compared with the traditional power grid, a smart grid can monitor users’ electricity situation and electricity consumption instantly. However, it involves many problems of deploying network equipment. Consequently,...

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Main Authors: Hsi-Chou Hsu, Shi-Ren Zhuang, Yung-Fa Huang
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/10/23/2911
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author Hsi-Chou Hsu
Shi-Ren Zhuang
Yung-Fa Huang
author_facet Hsi-Chou Hsu
Shi-Ren Zhuang
Yung-Fa Huang
author_sort Hsi-Chou Hsu
collection DOAJ
description Finding a more efficient use of energy is an important problem that needs attention. Compared with the traditional power grid, a smart grid can monitor users’ electricity situation and electricity consumption instantly. However, it involves many problems of deploying network equipment. Consequently, it is vital to promote smart grids by collecting data from smart meters efficiently and keeping costs low. In this article, we propose a two-stage method of data collection for smart grids. The main contribution of this paper is to lower the number of data aggregation points (DAPs) so that the cost can be reduced. By using the K-means method, an entire smart grid can be divided into many smaller parts. In addition, the needs of transmitting and receiving data in the entire smart grid can be met by installing the least number of DAPs. Finally, the simulations show that the proposed two-stage method of data collection can use fewer DAPs to collect data than other methods which use one-stage methods, so the proposed scheme is more cost-effective.
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spelling doaj.art-f3d22499833d42fd81cbb4964c0ec6482023-11-23T02:15:56ZengMDPI AGElectronics2079-92922021-11-011023291110.3390/electronics10232911Cost-Effective Data Aggregation Method for Smart GridHsi-Chou Hsu0Shi-Ren Zhuang1Yung-Fa Huang2Department of Computer and Communication, National Pingtung University, Pingtung 90004, TaiwanDepartment of Computer Science and Information Engineering, National Pingtung University, Pingtung 90004, TaiwanDepartment of Information and Communication Engineering, Chaoyang University of Technology, Taichung 313310, TaiwanFinding a more efficient use of energy is an important problem that needs attention. Compared with the traditional power grid, a smart grid can monitor users’ electricity situation and electricity consumption instantly. However, it involves many problems of deploying network equipment. Consequently, it is vital to promote smart grids by collecting data from smart meters efficiently and keeping costs low. In this article, we propose a two-stage method of data collection for smart grids. The main contribution of this paper is to lower the number of data aggregation points (DAPs) so that the cost can be reduced. By using the K-means method, an entire smart grid can be divided into many smaller parts. In addition, the needs of transmitting and receiving data in the entire smart grid can be met by installing the least number of DAPs. Finally, the simulations show that the proposed two-stage method of data collection can use fewer DAPs to collect data than other methods which use one-stage methods, so the proposed scheme is more cost-effective.https://www.mdpi.com/2079-9292/10/23/2911data aggregationK-meanssmart gridtwo-stage method
spellingShingle Hsi-Chou Hsu
Shi-Ren Zhuang
Yung-Fa Huang
Cost-Effective Data Aggregation Method for Smart Grid
Electronics
data aggregation
K-means
smart grid
two-stage method
title Cost-Effective Data Aggregation Method for Smart Grid
title_full Cost-Effective Data Aggregation Method for Smart Grid
title_fullStr Cost-Effective Data Aggregation Method for Smart Grid
title_full_unstemmed Cost-Effective Data Aggregation Method for Smart Grid
title_short Cost-Effective Data Aggregation Method for Smart Grid
title_sort cost effective data aggregation method for smart grid
topic data aggregation
K-means
smart grid
two-stage method
url https://www.mdpi.com/2079-9292/10/23/2911
work_keys_str_mv AT hsichouhsu costeffectivedataaggregationmethodforsmartgrid
AT shirenzhuang costeffectivedataaggregationmethodforsmartgrid
AT yungfahuang costeffectivedataaggregationmethodforsmartgrid