Allocation of Wind Capacity Subject to Long Term Voltage Stability Constraints

Files in This Item:
File Description SizeFormat 
mbakhtvar_submitted_version.pdf964.28 kBAdobe PDFDownload
Title: Allocation of Wind Capacity Subject to Long Term Voltage Stability Constraints
Authors: Bakhtvar, Mostafa
Keane, Andrew
Permanent link: http://hdl.handle.net/10197/7986
Date: May-2016
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.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: IEEE
Copyright (published version): 2015 IEEE
Keywords: Capacity allocation;Optimal power flow;Sigmoid;Tap changer;Voltage control;Voltage stability;Voltage stability constrained optimal power flow (VSCOPF);Wind
DOI: 10.1109/TPWRS.2015.2454852
Language: en
Status of Item: Peer reviewed
Appears in Collections:ERC Research Collection
Electrical and Electronic Engineering Research Collection
Energy Institute Research Collection

Show full item record

SCOPUSTM   
Citations 50

2
Last Week
1
Last month
checked on Jun 22, 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.