Toward Distributed/Decentralized DC Optimal Power Flow Implementation in Future Electric Power Systems

被引：232

作者：

Kargarian, Amin ^{[1
]}

Mohammadi, Javad ^{[2
]}

Guo, Junyao ^{[2
]}

Chakrabarti, Sambuddha ^{[3
]}

Barati, Masoud ^{[4
]}

Hug, Gabriela ^{[5
]}

Kar, Soummya ^{[2
]}

Baldick, Ross ^{[3
]}

机构：

[1] Louisiana State Univ, Div Elect & Comp Engn, Baton Rouge, LA 70803 USA

[2] Carnegie Mellon Univ, Dept Elect & Comp Engn, Pittsburgh, PA 15213 USA

[3] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA

[4] Univ Houston, Dept Elect & Comp Engn, Houston, TX 77004 USA

[5] Swiss Fed Inst Technol, Informat Technol & Elect Engn Dept, Zurich, Switzerland

来源：

IEEE TRANSACTIONS ON SMART GRID | 2018年 / 9卷 / 04期

基金：

美国国家科学基金会;

关键词：

Distributed/decentralized optimization; optimal power flow; power systems operation; resource coordination; ALTERNATING DIRECTION METHOD; AUXILIARY PROBLEM PRINCIPLE; ECONOMIC-DISPATCH; DISTRIBUTED IMPLEMENTATION; CONVERGENCE RATE; STATE ESTIMATION; REACTIVE POWER; PART I; CONSENSUS; DECOMPOSITION;

D O I：

10.1109/TSG.2016.2614904

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

This paper reviews distributed/decentralized algorithms to solve the optimal power flow (OPF) problem in electric power systems. Six decomposition coordination algorithms are studied, including analytical target cascading, optimality condition decomposition, alternating direction method of multipliers, auxiliary problem principle, consensus+innovations, and proximal message passing. The basic concept, the general formulation, the application for dc-OPF, and the solution methodology for each algorithm are presented. We apply these six decomposition coordination algorithms on a test system, and discuss their key features and simulation results.

引用

页码：2574 / 2594

页数：21

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