Cooperative control of DC grid power flow based on particle swarm optimization algorithm

被引：0

作者：

Liu Xianzheng ^{[1
]}

Wang Xingcheng ^{[1
]}

Wen Jialiang ^{[2
]}

Wang Dan ^{[1
]}

Zhang Qiang ^{[1
]}

机构：

[1] Dalian Maritime Univ, Inst Informat Sci Technol, Dalian, Peoples R China

[2] Global Energy Interconnect Res Inst, Beijing, Peoples R China

来源：

PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016) | 2016年

关键词：

DC grid; Particle swarm optimization(PSO); cooperative control; voltage droop control; ECONOMIC-DISPATCH;

D O I：

暂无

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 maintain energy balance and voltage stability is the basic function for normal operation of DC grid. Analysis and comparison of several commonly used multi-point voltage control methods, a cooperative control strategy is proposed based on improved particle swarm optimization, considering economic performance and voltage quality in both. The method established on traditional multi-point voltage control, using fuzzy membership curve to transformed power loss and voltage deviation into a single optimization objective, then search the optimal stable operating point of grid by PSO algorithm with inertia weight. Finally, a six terminal dendriform DC grid system is simulated to contrast the proposed method to voltage droop control. Results verify the effectiveness and practicability of the proposed algorithm.

引用

页码：65 / 69

页数：5

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