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  5. Optimal Deployment of Mobile MSSSC in Transmission System
 
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Optimal Deployment of Mobile MSSSC in Transmission System

Author(s)
Zhao, Zhehan  
Soroudi, Alireza  
Uri
http://hdl.handle.net/10197/24575
Date Issued
2022-05-24
Date Available
2023-07-21T09:45:33Z
Abstract
With the rapid development of the renewable energy source (RES), network congestion management is increasingly important for transmission system operators (TSOs). The limited transmission network capacity and traditional intervention methods result in high RES curtailment. The near-term, powerful, and flexible solutions, such as advanced flexible AC transmission systems (FACTS), are considered to mitigate the risks. The mobile modular static synchronous series compensator (MSSSC) is one of the grid-enhancing solutions. The mobility of the solution allows it to offer fast deployment and seasonal redeployability with limited cost. The demonstration of the mobile MSSSC solution has shown significant benefits for RES curtailment reduction, network congestion alleviation, and facilitating the demand and RES connection. For unlocking the true value of the mobile solution, they should be optimally allocated in the transmission networks. This paper develops a security-constrained DCOPF-based optimisation tool to investigate the optimal allocation of the mobile MSSSC solution in transmission networks. A linear mobile MSSSC model with the operation dead-band was introduced that can be used in large-scale realistic power system planning. The proposed model was implemented in the IEEE 118-bus system to assess the performance of the mobile MSSSC.
Sponsorship
University College Dublin
Type of Material
Journal Article
Publisher
MDPI
Journal
Energies
Volume
15
Issue
11
Start Page
1
End Page
27
Copyright (Published Version)
2022 The Authors
Subjects

Transmission planning...

MSSSC deployment

Wind curtailment

Congestion management...

DOI
10.3390/en15113878
Language
English
Status of Item
Peer reviewed
ISSN
1996-1073
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by/3.0/ie/
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MDPI_Article_Mobile_MSSSC_Allocation__Revision_ (5).pdf

Size

1.8 MB

Format

Adobe PDF

Checksum (MD5)

b88f5980fd46655406b936426c56cf99

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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