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  5. Smart Meter Tariff Design to Minimise Wholesale Risk
 
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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
2016-06
Embargo end date
2018-06-01
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
Subjects

Smart Grid tariff des...

Genetic algorithm

Stochastic fitness fu...

DOI
10.1016/j.endm.2016.03.004
Language
English
Status of Item
Peer reviewed
Conference Details
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/
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Rogers_INOC_TariffDesign_V5.pdf

Size

132 KB

Format

Adobe PDF

Checksum (MD5)

bd2023e8ad08819b639b7d987cae93dc

Owning collection
Business Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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