期刊
IEEE TRANSACTIONS ON SMART GRID
卷 8, 期 6, 页码 2941-2962出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2017.2720471
关键词
Distributed optimization; online optimization; electric power systems
资金
- U.S. Department of Energy, Office of Electricity Delivery and Energy Reliability [DE-AC02-06CH11357]
- NSF [ECCS-1406894]
- Directorate For Engineering [1552089, 1552096] Funding Source: National Science Foundation
- Div Of Electrical, Commun & Cyber Sys [1552096, 1552089] Funding Source: National Science Foundation
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.
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