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conference paper

Robust optimization of power grid with distributed generation and improved reliability

Wang, Zhengchao  
•
Perera, A. T. D.  
January 1, 2019
Renewable Energy Integration With Mini/Microgrid
Applied Energy Symposium and Summit - Renewable Energy Integration with Mini/Microgrid (REM)

Uncertainties of demand, generation and component outage can lead to black-outs in the grid. This study proposes an optimization algorithm (based on Benders Decomposition (BD)) to optimize a Power Transmission System (PTS) that is robust to aforementioned uncertainties. The applicability of the proposed optimization algorithm is tested using IEEE 14-bus and 24-bus networks. The results of this study show that the novel optimization algorithm can improve the reliability by 23.92% (during extreme scenarios) by reorganizing the topology of the network. The proposed model can be extended and used to consider as a method to integrated micro-grids into the high-voltage grid. (C) 2019 The Authors. Published by Elsevier Ltd.

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Type
conference paper
DOI
10.1016/j.egypro.2018.12.069
Web of Science ID

WOS:000471291100065

Author(s)
Wang, Zhengchao  
Perera, A. T. D.  
Date Issued

2019-01-01

Publisher

ELSEVIER SCIENCE BV

Publisher place

Amsterdam

Published in
Renewable Energy Integration With Mini/Microgrid
Series title/Series vol.

Energy Procedia

Volume

159

Start page

400

End page

405

Subjects

robust optimization

•

n-1 security

•

distributed energy system

•

benders decomposition

•

transmission expansion

•

electrical hubs

•

system

•

design

Note

This is an open access article under the terms of the Creative Commons Attribution License

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
TRANSP-OR  
LESO-PB  
Event nameEvent placeEvent date
Applied Energy Symposium and Summit - Renewable Energy Integration with Mini/Microgrid (REM)

Rhodes, GREECE

Sep 28-30, 2018

Available on Infoscience
June 28, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/158596
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