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Accommodating Variability in Generation Planning

Author(s)
Shortt, Aonghus  
Kiviluoma, Juha  
O'Malley, Mark  
Uri
http://hdl.handle.net/10197/4738
Date Issued
2013-02
Date Available
2013-10-11T16:11:21Z
Abstract
Many of the most commonly used generation planning models have been formulated in a way that neglects the chronological sequence of demand and the mixed-integer nature of generating units. The generator schedules assumed by these models are inaccurate and become increasingly divorced from real schedules with increasing variability. This paper seeks to characterize and quantify the limitations of these models over a broad set of input parameters. For an illustrative set of test systems, wind capacities and generator types, annual system costs are determined for all combinations of generating units using a unit-commitment model, which captures the chronological behavior of units and a dispatch model which does not. It is seen that the relative performance of the dispatch model is highly system specific but generally degrades with increasing variability. The difference in cost estimates between the models is decomposed into start costs, starts avoidance and average cost estimation error. The impact on least-cost portfolios is shown and finally sensitivities are performed with the addition of hydro and nuclear power to assess their impact.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
Institute of Electrical and Electronics Engineers
Journal
IEEE Transactions on Power Systems
Volume
28
Issue
1
Start Page
158
End Page
169
Copyright (Published Version)
2013 Institute of Electrical and Electronics Engineers
Subjects

Terms—Power Generatio...

Wind Power Generation...

DOI
10.1109/TPWRS.2012.2202925
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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Shortt Accommodating Variability in Gen Plan_2012.pdf

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1.67 MB

Format

Adobe PDF

Checksum (MD5)

72b0d715c93f417e3ec15fc42d329bfa

Owning collection
ERC Research Collection
Mapped collections
Electrical and Electronic Engineering 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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