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  5. Allocation of Wind Capacity Subject to Long Term Voltage Stability Constraints
 
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Allocation of Wind Capacity Subject to Long Term Voltage Stability Constraints

Author(s)
Bakhtvar, Mostafa  
Keane, Andrew  
Uri
http://hdl.handle.net/10197/7986
Date Issued
2016-05
Date Available
2016-09-23T16:07:03Z
Abstract
Increasing wind capacity integration results in displacement of active power from conventional generators and a reduction in reactive power sources available. As such, voltage stability may become a concern in certain periods for power system operation particularly in weaker areas of the network. Thus, it is of importance to consider the AC constraints for optimal wind generation planning (long term) in order to decrease the possibility of a wind capacity allocation that requires costly remedies from the power system operation perspective (short term). In this work, a procedure is proposed for wind capacity allocation with the aim of benefiting from the potential of an optimal wind capacity allocation for enhancing the voltage stability margin. The procedure is based on a multi operating conditions voltage stability constrained optimal power flow. The wind capacity target is set and the loadability margin is tracked. The results will show the applicability of the proposed procedure and will emphasize the effects of the pattern of wind capacity allocation on the loadability margin. This will result in a wind capacity allocation that enhances the minimum loadability margin among the possible future operating conditions considered for planning. The procedure uses the Maximin concept for this purpose.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Transactions on Power Systems
Volume
31
Issue
3
Start Page
2404
End Page
2414
Copyright (Published Version)
2015 IEEE
Subjects

Capacity allocation

Optimal power flow

Sigmoid

Tap changer

Voltage control

Voltage stability

Voltage stability con...

Wind

DOI
10.1109/TPWRS.2015.2454852
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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mbakhtvar_submitted_version.pdf

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964.28 KB

Format

Adobe PDF

Checksum (MD5)

acf97ac8c1b07a3830b65e0679d99c9d

Owning collection
Electrical and Electronic Engineering Research Collection
Mapped collections
Energy Institute Research Collection•
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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