Transmission congestion management with FACTS devices using BBO Algorithm

被引:0
|
作者
Raw, Brijesh Kumar [1 ]
Kumar, Sanjay [1 ]
Kumar, Lalit [1 ]
机构
[1] NIT Jamshedpur, Dept Elect & Elect Engn, Jharkhand, India
来源
2018 IEEE 8TH POWER INDIA INTERNATIONAL CONFERENCE (PIICON) | 2018年
关键词
active power loss; Biogeography-based optimization (BBO); operating cost; reactive power planning; REACTIVE POWER DISPATCH; SYSTEMS; FLOW;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
this paper presents Biogeography-based optimization (BBO) techniques for the excellent location to achieve minimum transmission active power loss, optimal cost, and optimal bus voltage. The proposed methods are authentic in the IEEE-30 bus system with power flow equation using a Newton-Raphson algorithm. The execution of IEEE-30 bus system is computed on different reactive loading condition. Here we are present the BBO and PSO's comparative result using distinct optimization techniques. In the end, BBO is best for the transmission of active power loss minimization and total cost of the system at the various loading for the IEEE-30 bus system as compared to PSO (Particle Swarm optimization). Biogeography-base optimization is the best solution, is to reduce active power loss, system operating cost including the cost of FACTS devices and congestion in the transmission network.
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页数:6
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