Optimal Power Flow Problem Using Particle Swarm Optimization Algorithm

被引：0
|
作者：
Patil, Monal [1 ]
Vyas, Deepak [1 ]
Lehru, Kinjal [1 ]
Jain, Ritu [2 ]
Mahajan, Vasundhara [2 ]
机构：
[1] PDPU, Dept Elect Engn, Gandhinagar, India
[2] SVNIT, Dept Elect Engn, Surat, India
来源：
2019 IEEE 5TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT) | 2019年
关键词：
Optimal power flow; Optimization technique; Economic dispatch; Power system network; Artificial intelligence and particle swarm optimization; MANAGEMENT;
D O I：
10.1109/i2ct45611.2019.9033939
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, an optimization issue namely optimal power flow that requires to minimize an objective while satisfying physical and specialized conditions of technical constraints on the power system networks. This analysis represents solution of optimal power flow problem of power system using particle swarm optimization algorithm. Optimal power flow is the main objectives is to minimize the generation fuel cost and meet the load demand of power system network. Optimal load will be allocated to particular generator in power system network by economic dispatch process and it is regularly optimized by optimization technique. Particle swarm optimization technique is one of the artificial intelligence-based method which shall be explored extensively in this research work. Simulation results got from IEEE14 bus and IEEE 30 bus test systems. It is representing and analysis in order to show the effectiveness of presented work.
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页数：5
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