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  5. Using energy storage to manage high net load variability at sub-hourly timescales
 
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Using energy storage to manage high net load variability at sub-hourly timescales

Author(s)
O'Dwyer, Ciara  
Flynn, Damian  
Uri
http://hdl.handle.net/10197/8028
Date Issued
2015-07
Date Available
2016-10-07T14:04:43Z
Abstract
High net load variability, driven by high penetrations of wind and solar generation, will create challenges for system operators in the future, as installed wind generation capacities increase to unprecedented levels globally. Maintaining system reliability, particularly at shorter time-scales, leads to increased levels of conventional plant starts and ramping, and higher levels of wind curtailment, with sub-hourly unit commitment and economic dispatch required to capture the increased cycling burden. The role of energy storage in reducing operating costs and enhancing system flexibility is explored, with key storage plant characteristics for balancing at this time-scale identified and discussed in relation to existing and emerging grid-scale storage technologies. Unit dispatches for the additional storage plant with varying characteristics highlight the unsuitability of energy only markets in incen-tivizing suitable levels of flexibility for future systems with high net load variability.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Transactions on Power Systems
Volume
30
Issue
4
Start Page
2139
End Page
2148
Copyright (Published Version)
2014 IEEE
Subjects

Battery storage plant...

Energy storage

Power system simulati...

Pumped storage power ...

Wind energy

DOI
10.1109/tpwrs.2014.2356232
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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ES_to_Manage_High_Net_Load_Variability_PS2015.pdf

Size

526.55 KB

Format

Adobe PDF

Checksum (MD5)

3621cf672ccd0eb8a46fc9d6282df845

Owning collection
Electrical and Electronic Engineering Research Collection
Mapped collections
ERC Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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