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  5. Real-time System-wide Inertia Estimation in Power Systems with High Wind Penetration Levels
 
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Real-time System-wide Inertia Estimation in Power Systems with High Wind Penetration Levels

Author(s)
Bank Tavakoli, M. Reza  
Power, Michael  
Ruttledge, Lisa  
Flynn, Damian  
Uri
http://hdl.handle.net/10197/8266
Date Issued
2012-11-15
Date Available
2017-01-13T16:55:34Z
Abstract
Knowledge of on-line inertia in power systems with high and increasing levels of wind penetration is becoming more important for power system operators. In this paper, the basis of a real-time stored energy estimator is developed, which accounts for the inertia contribution from loads as well as generators in the system. By creating a simplified first order model of the system, power and frequency signals recorded are utilized to estimate real-time feeder stored energy by use of a linear least-squares estimator. The capability of the proposed estimator is investigated by application on a test system. The estimation error is analysed in respect of data resolution and feeder contributions to stored energy. Discussion on the requirements for applications within power systems and the communication configuration are also presented.
Type of Material
Conference Publication
Publisher
Energynautics GmbH
Subjects

Stored energy

Inertia

Real-time

Least-squares estimat...

Web versions
http://www.windintegrationworkshop.org/lisbon2012/
Language
English
Status of Item
Peer reviewed
Journal
Betancourt, U. and Ackermann, T. (eds). Proceedings of the 11th International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants
Conference Details
11th International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants, Lisbon, Portugal, 13-15 November 2012
ISBN
9783981387056
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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Ackermann_2012_-_Real-time_inertia_estimation.pdf

Size

281.27 KB

Format

Adobe PDF

Checksum (MD5)

32b1b6633c15322dd176191390d2c967

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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