Gelazanskas, L. and Gamage, K. A.A. (2016) Managing Renewable Intermittency in Smart Grid: Use of Residential Hot Water Heaters as a Form of Energy Storage. In: IEEE 19th International Symposium on Electrical Apparatus and Technologies (SIELA), Bourgas, Bulgaria, 29 May - 1 June 2016, ISBN 9781467395229 (doi: 10.1109/SIELA.2016.7543001)
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Abstract
This paper discusses a novel wind generation balancing technique to improve renewable energy integration to the system. Novel individual hot water heater controllers were modelled with the ability to forecast and look ahead the required energy, while responding to electricity grid imbalance. Artificial intelligence and machine learning techniques were used to learn and predict energy usage. In this research wind power data was used in most cases to represent the supply side, where focus was on the actual generation deviation from plan. It proved to be possible to balance the generation and increase system efficiency while maintaining user satisfaction. The methods developed in this research are not limited to wind power balancing and can also be used with any other type of renewable generation source.
Item Type: | Conference Proceedings |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Gamage, Professor Kelum |
Authors: | Gelazanskas, L., and Gamage, K. A.A. |
College/School: | College of Science and Engineering > School of Engineering |
ISBN: | 9781467395229 |
Copyright Holders: | Copyright © 2016 IEEE |
Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
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