Published November 2017
| public
Journal Article
A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems
Abstract
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.
Additional Information
© 2017 IEEE. Manuscript received February 17, 2017; revised May 10, 2017; accepted June 9, 2017. Date of publication July 25, 2017; date of current version October 19, 2017. The work of D. K. Molzahn was supported by the U.S. Department of Energy, Office of Electricity Delivery and Energy Reliability under Contract DE-AC02-06CH11357. The work of S. Chakrabarti and R. Baldick was supported by NSF under Grant ECCS-1406894. Paper no. TSG-00233-2017. (Corresponding author: Daniel K. Molzahn.)Additional details
- Eprint ID
- 79448
- Resolver ID
- CaltechAUTHORS:20170726-151527403
- DE-AC02-06CH11357
- Department of Energy (DOE)
- ECCS-1406894
- NSF
- Created
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2017-07-26Created from EPrint's datestamp field
- Updated
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2021-11-15Created from EPrint's last_modified field