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Smart Meter Tariff Design to Minimise Wholesale Risk

Author(s)
Rogers, William 
Carroll, Paula 
Uri
http://hdl.handle.net/10197/8701
Date Issued
June 2016
Abstract
Smart metering in electricity markets offers an opportunity to explore more diversetariff structures. In this article a Genetic Algorithm (GA) is used to design Time ofUse tariffs that minimise the wholesale risk to the supplier in residential markets.Residential demand and the System Marginal Price of Ireland's Single ElectricityMarket are simulated to estimate the wholesale risk associated with each tariff.
Type of Material
Journal Article
Publisher
Elsevier
Journal
Electronic Notes in Discrete Mathematics
Volume
52
Start Page
21
End Page
28
Copyright (Published Version)
2016 Elsevier
Keywords
  • Smart Grid tariff des...

  • Genetic algorithm

  • Stochastic fitness fu...

DOI
10.1016/j.endm.2016.03.004
Language
English
Status of Item
Peer reviewed
Description
International Network Optimization Conference, Warsaw, Poland, 18-20 May 2015
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Business Research Collection
Scopus© citations
1
Acquisition Date
Feb 3, 2023
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Views
1261
Acquisition Date
Feb 4, 2023
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Downloads
298
Acquisition Date
Feb 4, 2023
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