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Optimal decentralized primary frequency control in power networks

Zhao, Changhong and Low, Steven (2014) Optimal decentralized primary frequency control in power networks. In: 53rd IEEE Conference on Decision and Control. IEEE , Piscataway, NJ, pp. 2467-2473. ISBN 978-1-4673-6090-6.

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We augment existing generator-side primary frequency control with load-side control that are local, ubiquitous, and continuous. The mechanisms on both the generator and the load sides are decentralized in that their control decisions are functions of locally measurable frequency deviations. These local algorithms interact over the network through nonlinear power flows. We design the local frequency feedback control so that any equilibrium point of the closed-loop system is the solution to an optimization problem that minimizes the total generation cost and user disutility subject to power balance across entire network. With Lyapunov method we derive a sufficient condition for any equilibrium point of the closed-loop system to be asymptotically stable. A simulation demonstrates improvement in both the transient and steady-state performance over the traditional control only on generators, even when the total control capacity remains the same.

Item Type:Book Section
Related URLs:
URLURL TypeDescription
Zhao, Changhong0000-0003-0539-8591
Low, Steven0000-0001-6476-3048
Additional Information:© 2014 IEEE. This work was supported by NSF NetSE grant CNS 0911041, ARPA-E grant DE-AR0000226, Southern California Edison, National Science Council of Taiwan R.O.C. grant NSC 103-3113-P-008-001, Caltech Resnick Institute, and California Energy Commission’s Small Grant Program through Grant 57360A/11-16.
Group:Resnick Sustainability Institute
Funding AgencyGrant Number
Southern California EdisonUNSPECIFIED
National Science Council (Taipei)NSC 103-3113-P-008-001
Resnick Sustainability InstituteUNSPECIFIED
California Energy Commission Small Grant Program57360A/11-16
Record Number:CaltechAUTHORS:20170123-165356940
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:73641
Deposited On:26 Jan 2017 20:38
Last Modified:11 Nov 2021 05:19

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