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  5. Optimal Allocation of Wind Generation Subject to Voltage Stability Constraints
 
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Optimal Allocation of Wind Generation Subject to Voltage Stability Constraints

Author(s)
Bakhtvar, Mostafa  
Keane, Andrew  
Uri
http://hdl.handle.net/10197/7988
Date Issued
2013-10-09
Date Available
2016-09-23T16:22:15Z
Abstract
In power systems the occurrence probability of operating points close to network limits may be increased as a result of high wind penetration. Consequences of such scenarios include inefficient exploitation of both wind and economic resources. A well chosen allocation of wind capacity not only is in line with the trend of renewables integration in power systems but also allows for limiting the occurrence probability of unsafe operating points that may require costly remedies. In this work, a voltage stability constrained optimal power flow (VSC-OPF) framework is presented for transmission system planning and applied to wind capacity allocation. This framework captures multiple wind and demand scenarios within the OPF. The pattern of wind capacity allocation is studied in order to assess its impact on voltage stability and the total wind capacity allocation. The results emphasize the effect of the capacity allocation pattern on improvement of voltage stability.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2013 IEEE
Subjects

Voltage stability

Optimal power flow

Wind

Capacity allocation

Capability diagram

DOI
10.1109/ISGTEurope.2013.6695372
Language
English
Status of Item
Peer reviewed
Conference Details
2013 4th PES IEEE Innovative Smart Grid Technnologies Europe (ISGT Europe), Copenhagen, Denmark, 6-9 October 2013
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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isgt_2013_final_manuscript.pdf

Size

1004.57 KB

Format

Adobe PDF

Checksum (MD5)

0ab53863c3e22b2a5e28c74815c61ded

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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