DocumentCode
114858
Title
Optimal decentralized primary frequency control in power networks
Author
Changhong Zhao ; Low, Steven
Author_Institution
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
fYear
2014
fDate
15-17 Dec. 2014
Firstpage
2467
Lastpage
2473
Abstract
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.
Keywords
Lyapunov methods; asymptotic stability; closed loop systems; control system synthesis; decentralised control; feedback; frequency control; load flow; load regulation; optimal control; power distribution control; power transmission control; Lyapunov method; asymptotic stability; closed-loop system; generator-side primary frequency control; load-side control; local frequency feedback control design; locally measurable frequency deviations; nonlinear power flows; optimal decentralized primary frequency control; optimization problem; power networks; steady-state performance; sufficient condition; total generation cost minimization; transient performance; user disutility; Asymptotic stability; Closed loop systems; Frequency control; Frequency measurement; Generators; Lyapunov methods; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location
Los Angeles, CA
Print_ISBN
978-1-4799-7746-8
Type
conf
DOI
10.1109/CDC.2014.7039765
Filename
7039765
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