Design and development of a data acquisition system for smart grids

This paper is the author’s final year project report and presents the research on renewable energy and how to develop the Data Acquisition System for Smart Grid. The purpose of the project is to develop the Data Acquisition (DAQ) System for Smart Grid. Firstly, the setting of the DAQ system to conne...

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Main Author: Chua, Ming Hui
Other Authors: So Ping Lam
Format: Final Year Project
Language:English
Published: 2014
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Online Access:http://hdl.handle.net/10356/61188
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-611882023-07-07T16:04:10Z Design and development of a data acquisition system for smart grids Chua, Ming Hui So Ping Lam School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This paper is the author’s final year project report and presents the research on renewable energy and how to develop the Data Acquisition System for Smart Grid. The purpose of the project is to develop the Data Acquisition (DAQ) System for Smart Grid. Firstly, the setting of the DAQ system to connect the various sensors such as wind direction and wind speed smart sensors with the data acquisition device, Hobo U30 Data Logger, so that computer program is able to get the data from Data Logger send by external sensors. Hobo Data Logger receives parameter of wind such as wind speed, gust speed and wind direction from external sensors every one minute. Users are able to view and download the data from GUI. The connection between Hobolink and PI server is using JAVA coding, which was programmed by the previous FYP student. As a result, the data can be downloaded to PI server which is the desktop computer in the laboratory. After the data are downloaded to PI server, users can view, analyze, archive and deliver the data for further development. The author then programmed the data downloaded to be able to display on Microsoft Excel Sheet. Thereafter, Python coding was used to send the data from Microsoft Excel to MatikonOPC Explorer. MatrikonOPC Tunneller was then used in order to communicate between two computers to enable data sending from the PI system to the LabVIEW Computer. This is to sent data between the MatrikonOPC Explorer installed on the two computers. Bachelor of Engineering 2014-06-06T02:27:10Z 2014-06-06T02:27:10Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/61188 en Nanyang Technological University 65 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Chua, Ming Hui
Design and development of a data acquisition system for smart grids
description This paper is the author’s final year project report and presents the research on renewable energy and how to develop the Data Acquisition System for Smart Grid. The purpose of the project is to develop the Data Acquisition (DAQ) System for Smart Grid. Firstly, the setting of the DAQ system to connect the various sensors such as wind direction and wind speed smart sensors with the data acquisition device, Hobo U30 Data Logger, so that computer program is able to get the data from Data Logger send by external sensors. Hobo Data Logger receives parameter of wind such as wind speed, gust speed and wind direction from external sensors every one minute. Users are able to view and download the data from GUI. The connection between Hobolink and PI server is using JAVA coding, which was programmed by the previous FYP student. As a result, the data can be downloaded to PI server which is the desktop computer in the laboratory. After the data are downloaded to PI server, users can view, analyze, archive and deliver the data for further development. The author then programmed the data downloaded to be able to display on Microsoft Excel Sheet. Thereafter, Python coding was used to send the data from Microsoft Excel to MatikonOPC Explorer. MatrikonOPC Tunneller was then used in order to communicate between two computers to enable data sending from the PI system to the LabVIEW Computer. This is to sent data between the MatrikonOPC Explorer installed on the two computers.
author2 So Ping Lam
author_facet So Ping Lam
Chua, Ming Hui
format Final Year Project
author Chua, Ming Hui
author_sort Chua, Ming Hui
title Design and development of a data acquisition system for smart grids
title_short Design and development of a data acquisition system for smart grids
title_full Design and development of a data acquisition system for smart grids
title_fullStr Design and development of a data acquisition system for smart grids
title_full_unstemmed Design and development of a data acquisition system for smart grids
title_sort design and development of a data acquisition system for smart grids
publishDate 2014
url http://hdl.handle.net/10356/61188
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