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  5. Stochastic Real-Time Scheduling of Wind-Thermal Generation Units in an Electric Utility
 
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Stochastic Real-Time Scheduling of Wind-Thermal Generation Units in an Electric Utility

Author(s)
Soroudi, Alireza  
Rabiee, Abbas  
Keane, Andrew  
Uri
http://hdl.handle.net/10197/6301
Date Issued
2015-01-05
Date Available
2015-01-16T16:56:30Z
Abstract
The objective of the dynamic economic dispatch (DED) problem is to find the optimal dispatch of generation units in a given operation horizon to supply a prespecified demand while satisfying a set of constraints. In this paper, an efficient method based on optimality-condition-decomposition technique is proposed to solve the DED problem in real-time environment while considering wind power generation and pool market. The uncertainties of wind power generation, as well as the electricity prices, are also taken into account. The aforementioned uncertainties are handled using a scenario-based approach. To illustrate the effectiveness of the proposed approach, it is applied on 40 and 54 thermal generation units and a large-scale practical system with 391 thermal generation units. The obtained results substantiate the applicability of the proposed method for solving the real-time DED problem with uncertain wind power generation.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
Institute of Electrical and Electronics Engineers
Journal
Systems Journal, IEEE
Volume
PP
Issue
99
Start Page
1
End Page
10
Copyright (Published Version)
2014 Institute of Electrical and Electronics Engineers
Subjects

Dynamic economic disp...

Optimality condition ...

Real time

Scenario-based uncert...

Wind power generation...

DOI
10.1109/JSYST.2014.2370372
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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4720.pdf

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799.63 KB

Format

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Checksum (MD5)

d95a0fd4d99ae1978ad1459f4ac97114

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/.
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