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
收藏
页码：65 / 69
页数：5
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