4.7 Article

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

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

  1. U.S. Department of Energy, Office of Electricity Delivery and Energy Reliability [DE-AC02-06CH11357]
  2. NSF [ECCS-1406894]
  3. Directorate For Engineering [1552089, 1552096] Funding Source: National Science Foundation
  4. Div Of Electrical, Commun & Cyber Sys [1552096, 1552089] Funding Source: National Science Foundation

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据