A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems

Historically, centrally computed algorithms have been the primary means of power system optimization and control. With increasing penetrations of distributed energy resources requiring optimization and control of power systems with many controllable devices, distributed algorithms have been the subj...

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Vydané v:IEEE transactions on smart grid Ročník 8; číslo 6; s. 2941 - 2962
Hlavní autori: Molzahn, Daniel K., Dorfler, Florian, Sandberg, Henrik, Low, Steven H., Chakrabarti, Sambuddha, Baldick, Ross, Lavaei, Javad
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway IEEE 01.11.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Approximation algorithms
Control algorithms
Control systems
Distributed algorithms
Distributed generation
Distributed optimization
Electric power distribution
Electric power systems
Energy sources
Frequency control
Mathematical model
online optimization
Optimization
Power flow
POWER TRANSMISSION AND DISTRIBUTION
Reactive power
Stability
ISSN:1949-3053, 1949-3061, 1949-3061
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Popis
Shrnutí:Historically, centrally computed algorithms have been the primary means of power system optimization and control. With increasing penetrations of distributed energy resources requiring optimization and control of power systems with many controllable devices, distributed algorithms have been the subject of significant research interest. This paper surveys the literature of distributed algorithms with applications to optimization and control of power systems. In particular, this paper reviews distributed algorithms for offline solution of optimal power flow (OPF) problems as well as online algorithms for real-time solution of OPF, optimal frequency control, optimal voltage control, and optimal wide-area control problems.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
AC02-06CH11357
USDOE Office of Electricity (OE)
ISSN:1949-3053
1949-3061
1949-3061
DOI:10.1109/TSG.2017.2720471