NDLI: Web-Based Data Acquisition System of Wind Conditions and its Application to Power Output Variation Analysis for Wind Turbine Generation

Content Provider	IEEE Xplore Digital Library
Author	Kodama, N. Matsuzaka, T.
Copyright Year	2006
Description	Author affiliation: Dept. of Syst. & Inf. Eng., Hachinohe Inst. of Technol. (Kodama, N.; Matsuzaka, T.)
Abstract	This paper presents a Web-based data acquisition system of wind conditions via the Internet, and its application to power output variation analysis for wind turbine generation. Wind energy is promising renewable energy, and is globally increasing. However, with the increase of wind power integration to power grid, the wind power generation is having a great influence on power system operation due to such issues as frequency and voltage variations. It is important to reserve generation capacity to suppress these variations and to schedule its operation. For this purpose, the authors have developed a Web-based data acquisition system of wind conditions via the Internet. The Web-based data acquisition system is automatically able to gather wind climate data measured at lighthouses operated by The Maritime Safety Agency of JAPAN. Based on the observed data, a short term prediction, for example a few hours ahead, of wind speed was constructed using neural network. Using this system, the authors could predict the wind power variations at each site, at simultaneous times and conclude that this work would be possible to forecast reservation power to suppress the wind power variations
Starting Page	3747
Ending Page	3750
File Size	3608161
Page Count	4
File Format	PDF
ISBN	8995003847
DOI	10.1109/SICE.2006.315027
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-18
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	The Institute of Control, Automation and Systems
Subject Keyword	Data acquisition Wind power generation Wind turbines Power generation Wind energy generation Wind energy Internet Renewable energy resources Power grids Power system analysis computing wind turbine web-based data acquisition system time series prediction wind speed
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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