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  Electricity Exchange: Demand Side Unit performance monitoring

Bokharaie, V., Carroll, P., Devine, M., Fennell, P., Gleeson, J., Hayes, K., et al.(2013). Electricity Exchange: Demand Side Unit performance monitoring (687). Limerick, Ireland: Mathematics Applications Consortium for Science and Industry, University of Limerick: ESGI 93.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-4D92-4 Version Permalink: https://hdl.handle.net/21.11116/0000-0001-4D93-3
Genre: Report

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http://www.maths-in-industry.org/miis/687/1/ElectricityExchange_MACSIreport.pdf (Any fulltext)
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 Creators:
Bokharaie, VS1, Author           
Carroll, P, Author
Devine, M, Author
Fennell, P, Author
Gleeson, J, Author
Hayes, K, Author
Hunter, G, Author
Idiak, J, Author
Lee, W, Author
Lynch, J, Author
Mason, J, Author
Nowotarski, J, Author
O'Connoll, M, Author
O'Sullivan, D, Author
Tomczyk, J, Author
Ward, J, Author
Yan, LTA, Author
Finn, P, Author
Affiliations:
1MACSI, Department of Mathematics and Statistics, University of Limerick, Ireland, ou_persistent22              

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 Abstract: Demand Side Response management encourages elec- tricity demand reduction during peak hours. One avenue for achieving this is through Demand Side Units (DSUs). These are large electricity consumers who can afford to reduce their demand on the electricity grid when required. Issues with DSUs revolve around verification that the correct demand reduction takes place, with limited monitoring capabilities from the electrical grid operator Eir- Grid. This issue is studied here with the current methods thoroughly analysed and new methods proposed. In this report six different forecasting methods are presented, and their accuracy is compared using two different error metrics. Due to inherent stochasticity in demand it is found that there is no one fore- casting method which is unequivocally best, but the ‘Keep it simple’ weekly and the temperature dependent models are identified as the most promising models to pursue. Initial investigations suggest that a ‘proxy day’ mechanism may be preferable to the current method of verifying that the correct demand reduction takes place.

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 Dates: 2013-08
 Publication Status: Issued
 Pages: 51
 Publishing info: Limerick, Ireland : Mathematics Applications Consortium for Science and Industry, University of Limerick: ESGI 93
 Table of Contents: -
 Rev. Type: -
 Identifiers: Report Nr.: 687
 Degree: -

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