A decoupled power flow algorithm using particle swarm optimization technique

P. Acharjee; S. K. Goswami

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A decoupled power flow algorithm using particle swarm optimization technique

机译：基于粒子群优化技术的解耦潮流算法

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摘要

A robust, nondivergent power flow method has been developed using the particle swarm optimization (PSO) technique. The decoupling properties between the power system quantities have been exploited in developing the power flow algorithm. The speed of the power flow algorithm has been improved using a simple perturbation technique. The basic power flow algorithm and the improvement scheme have been designed to retain the simplicity of the evolutionary approach. The power flow is rugged, can determine the critical loading conditions and also can handle the flexible alternating current transmission system (FACTS) devices efficiently. Test results on standard test systems show that the proposed method can find the solution when the standard power flows fail.

机译：已经使用粒子群优化（PSO）技术开发了一种鲁棒的，非发散的潮流方法。在开发潮流算法中已经利用了电力系统数量之间的解耦特性。潮流算法的速度已通过使用简单的摄动技术得到了改善。设计了基本潮流算法和改进方案，以保留进化方法的简单性。功率流很坚固，可以确定关键的负载条件，还可以有效地处理灵活的交流输电系统（FACTS）设备。在标准测试系统上的测试结果表明，当标准潮流失败时，该方法可以找到解决方案。

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来源
《Energy Conversion & Management》 |2009年第9期|2351-2360|共10页
作者
P. Acharjee; S. K. Goswami;
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作者单位

Electrical Engineering Department, National Institute of Technology, Durgapur, Bardwan 713 209, India;

Electrical Engineering Department, Jadavpur University, Kolkata 700 032, India;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
power flow; particle swarm optimization; decoupling properties; improvement scheme;

机译：电流;粒子群优化;去耦特性;改善方案;

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A decoupled power flow algorithm using particle swarm optimization technique

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