DocumentCode
1617179
Title
Aspects of wind energy characteristics in transmission related optimisation models: Invited panel discussion paper
Author
Burke, Daniel J. ; O´Malley, Mark J.
Author_Institution
Sch. of Electr., Electron. & Mech. Eng., Univ. Coll. Dublin, Dublin, Ireland
fYear
2011
Firstpage
1
Lastpage
8
Abstract
This invited panel paper discussion will outline a number of aspects of wind energy characteristics relevant to the optimal wind/transmission model formulation task. Optimal placement of wind capacity on a constrained transmission network is a typical example of this type of problem. In particular the relevance of advanced and computationally intensive stochastic unit commitment to the model formulation will be debated. Optimization constraint matrix structure and techniques to exploit it will be shown to be of considerable importance for this type of problem. The relative merits of different model dimensionality reduction schemes, either through multivariate component analysis and probability discretisation or indeed scenario reduction, will be discussed. A pragmatic acceptance of the imprecise impact of long-term power system uncertainties will be maintained throughout, and wherever possible generality to different types of power systems will be considered.
Keywords
matrix algebra; optimisation; power transmission planning; probability; wind power; computationally intensive stochastic unit; constrained transmission network; dimensionality reduction scheme; model formulation; multivariate component analysis; optimal placement; optimization constraint matrix structure; power system uncertainty; pragmatic acceptance; probability discretisation; transmission related optimisation model; wind capacity; wind energy characteristics; Computational modeling; Load flow; Optimization; Planning; Uncertainty; Wind power generation; power system planning; power transmission; wind energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location
San Diego, CA
ISSN
1944-9925
Print_ISBN
978-1-4577-1000-1
Electronic_ISBN
1944-9925
Type
conf
DOI
10.1109/PES.2011.6039055
Filename
6039055
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