Accommodating Variability in Generation Planning

Files in This Item:
File Description SizeFormat 
Shortt Accommodating Variability in Gen Plan_2012.pdf1.71 MBAdobe PDFDownload
Title: Accommodating Variability in Generation Planning
Authors: Shortt, Aonghus
Kiviluoma, Juha
O'Malley, Mark
Permanent link: http://hdl.handle.net/10197/4738
Date: Feb-2013
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.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Institute of Electrical and Electronics Engineers
Copyright (published version): 2013 Institute of Electrical and Electronics Engineers
Keywords: Terms—Power Generation Planning;Wind Power Generation
DOI: 10.1109/TPWRS.2012.2202925
Language: en
Status of Item: Peer reviewed
Appears in Collections:ERC Research Collection
Electrical and Electronic Engineering Research Collection

Show full item record

SCOPUSTM   
Citations 10

32
Last Week
2
Last month
checked on Jun 23, 2018

Page view(s) 50

70
checked on May 25, 2018

Download(s) 5

1,208
checked on May 25, 2018

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.