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

• Published in: IEEE transactions on smart grid Vol. 8; no. 6; pp. 2941 - 2962
• Main Authors: Molzahn, Daniel K., Dorfler, Florian, Sandberg, Henrik, Low, Steven H., Chakrabarti, Sambuddha, Baldick, Ross, Lavaei, Javad
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.11.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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
• DOI: 10.1109/TSG.2017.2720471

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.