Distributed Optimal Reactive Power Control of Power Systems

被引：31

作者：

Khan, Irfan ^{[1
]}

Xu, Yinliang ^{[2
,3
,4
]}

Sun, Hongbin ^{[2
,3
,4
]}

Bhattacharjee, Vikram ^{[1
]}

机构：

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

[2] Tsinghua Berkeley Shenzhen Inst, Smart Grid & Renewable Energy Lab Environm Sci, Shenzhen 518055, Peoples R China

[3] Tsinghua Berkeley Shenzhen Inst, New Energy Technol Ctr, Shenzhen 518055, Peoples R China

[4] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China

来源：

IEEE ACCESS | 2018年 / 6卷

基金：

中国国家自然科学基金;

关键词：

Reactive power control; distributed optimization; consensus; distributed control; multi-objective optimization; PARTICLE SWARM OPTIMIZATION; ALGORITHM; SMART; FLOW; MICROGRIDS; OPERATION; STRATEGY; DISPATCH; LOSSES; GRIDS;

D O I：

10.1109/ACCESS.2017.2779806

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To accommodate the increasing penetration level of distributed generators (DGs) in the electrical energy power system, appropriate reactive power control of DGs, which can lead to the voltage profile improvement and power loss minimization, should be addressed. This paper proposed a consensus-based distributed algorithm for the reactive power control of DGs in the power system to optimize the multi-objective function, which includes power loss, voltage deviation, and cost of the reactive power generation of DGs. The formulated problem is proved to be convex. The proposed algorithm is tested on 6- and 34-bus systems to validate its effectiveness and scalability. The proposed algorithm is also compared with the centralized technique particle swarm optimization (PSO), which demonstrates the effectiveness of the proposed distributed algorithm.

引用

下载

页码：7100 / 7111

页数：12

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