Introducing dynamic demand response in the LFC model

Pourmousavi, S. Ali and Nehrir, M. Hashem (2014) Introducing dynamic demand response in the LFC model. IEEE Transactions On Power Systems, 29 4: 1562-1572. doi:10.1109/TPWRS.2013.2296696

Author Pourmousavi, S. Ali
Nehrir, M. Hashem
Title Introducing dynamic demand response in the LFC model
Journal name IEEE Transactions On Power Systems   Check publisher's open access policy
ISSN 0885-8950
Publication date 2014-01-20
Year available 2014
Sub-type Article (original research)
DOI 10.1109/TPWRS.2013.2296696
Open Access Status Not yet assessed
Volume 29
Issue 4
Start page 1562
End page 1572
Total pages 11
Place of publication Piscataway, NJ, United States
Publisher Institute of Electrical and Electronics Engineers
Language eng
Formatted abstract
Demand response (DR) has proved to be an inevitable part of the future grid. Much research works have been reported in the literature on the benefits and implementation of DR. However, little works have been reported on the impacts of DR on dynamic performance of power systems, specifically on the load frequency control (LFC) problem. This paper makes an attempt to fill this gap by introducing a DR control loop in the traditional LFC model (called LFC-DR) for a single-area power system. The model has the feature of optimal operation through optimal power sharing between DR and supplementary control. The effect of DR communication delay in the controller design is also considered. It is shown that the addition of the DR control loop increases the stability margin of the system and DR effectively improves the system dynamic performance. Simulation studies are carried out for single-area power systems to verify the effectiveness of the proposed method.
Keyword Demand response (DR)
Linear quadratic regulator (LQR)
Single-area power system model
Smart grid
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID DE-FG02-11ER46817
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Global Change Institute Publications
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Citation counts: TR Web of Science Citation Count  Cited 30 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 37 times in Scopus Article | Citations
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