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  5. Restoration in a Self-healing Distribution Network with DER and Flexible Loads
 
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Restoration in a Self-healing Distribution Network with DER and Flexible Loads

Author(s)
Ansari, Bananeh  
Simoes, Marcelo G.  
Soroudi, Alireza  
Keane, Andrew  
Uri
http://hdl.handle.net/10197/8008
Date Issued
2016-06-10
Date Available
2016-09-30T12:14:46Z
Abstract
This paper develops an algorithm for energy management of a distribution network considering a restorative plan for most possible devastating contingencies in the network. The distribution network is selfhealing and consists of smart meters and remotely controlled automated switches. Distributed energy resources and flexible loads provide the redundant capacity for restoration. Under normal operating conditions, the objective of the energy management system is to minimize the generation cost, while under emergency conditions, the objective is to minimize the amount of shed load, giving priority to critical loads. The energy management problem forms a non-linear programming problem. Simulation results verify the effectiveness of the proposed algorithm in energy management and restoration of a distribution network.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2016 IEEE
Subjects

Density estimation ro...

Energy management

Smart meters

Simulation

Substations

Energy resources

Switches

DOI
10.1109/EEEIC.2016.7555776
Language
English
Status of Item
Not peer reviewed
Conference Details
2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC 2016), 7-10 June 2016, Florence, Italy
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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Name

bare_conf.pdf

Size

450.16 KB

Format

Adobe PDF

Checksum (MD5)

cc10d7e69a71f33cca58163b19f2c47d

Owning collection
Electrical and Electronic Engineering Research Collection
Mapped collections
Energy Institute Research Collection•
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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