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

被引：764
|
作者：
Molzahn, Daniel K. [1 ]
Dorfler, Florian [2 ]
Sandberg, Henrik [3 ]
Low, Steven H. [4 ]
Chakrabarti, Sambuddha [5 ]
Baldick, Ross [5 ]
Lavaei, Javad [6 ]
机构：
[1] Argonne Natl Lab, Energy Syst Div, Lemont, IL 60439 USA
[2] Swiss Fed Inst Technol, Automat Control Lab, CH-8006 Zurich, Switzerland
[3] KTH Royal Inst Technol, Dept Automat Control, S-10044 Stockholm, Sweden
[4] CALTECH, Dept Elect Engn, Pasadena, CA 91125 USA
[5] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78705 USA
[6] Univ Calif Berkeley, Dept Ind Engn & Operat Res, Berkeley, CA 94720 USA
来源：
IEEE TRANSACTIONS ON SMART GRID | 2017年 / 8卷 / 06期
基金：
美国国家科学基金会;
关键词：
Distributed optimization; online optimization; electric power systems; REAL-TIME CONTROL; ALTERNATING DIRECTION METHOD; ACTIVE DISTRIBUTION NETWORKS; AUXILIARY PROBLEM PRINCIPLE; FLOW MODEL RELAXATIONS; DECENTRALIZED CONTROL; REACTIVE POWER; VOLTAGE REGULATION; ECONOMIC-DISPATCH; FREQUENCY CONTROL;
D O I：
10.1109/TSG.2017.2720471
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：2941 / 2962
页数：22
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