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  5. Resiliency oriented integration of Distributed Series Reactors in transmission networks
 
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Resiliency oriented integration of Distributed Series Reactors in transmission networks

Author(s)
Soroudi, Alireza  
Maghouli, Pourya  
Keane, Andrew  
Uri
http://hdl.handle.net/10197/8519
Date Issued
2017
Date Available
2017-05-17T15:02:56Z
Abstract
Secure and reliable operation of power system in normal and contingency conditions is of great importance for system operator. Natural disasters can seriously threaten power systems normal operation with catastrophic consequences. While hardening approaches may be considered for resiliency improvement, an application of a new and cost effective technology is proposed in this paper. This work proposes a planning procedure for integrating Distributed Series Reactors (DSR) into transmission grids for improving the resiliency against these disasters. DSRs are able to control power flows through meshed transmission grids and thus improve the power transfer capability. This can improve the penetration level of renewable generation as well which is addressed in this paper. The problem of integrating DSRs into transmission grids is formulated as a mixed integer linear programming problem. Different load and wind profiles and a predefined number of disaster scenarios are considered in evaluating the impacts of DSR deployment on system’s operational costs, wind curtailment and load shedding during disasters and normal condition. The uncertainty of wind generation can affect economic viability of DSRs deployment thus; an information gap decision theory based method is proposed for uncertainty handling. The proposed methodology is implemented on the IEEE-RTS 24 bus test system and results show the functionality of DSRs in converting the conventional transmission grid into a flexible and dispatchable asset.
Type of Material
Journal Article
Publisher
IET
Journal
IET Generation, Transmission and Distribution
Volume
11
Issue
8
Subjects

Power system resilien...

Distributed series re...

Wind curtailment

Information gap decis...

Uncertainty

DOI
10.1049/iet-gtd.2016.1536
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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edited_IET-R1_black.pdf

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396.63 KB

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Checksum (MD5)

0dffde09055a0cc63653e2290b3f2363

Owning collection
Electrical and Electronic Engineering 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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