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首页> 外文期刊>International journal of electrical and power engineering >Using A New Hybrid Method for Optimal Placement of Unified Power Flow Controller in Power System
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Using A New Hybrid Method for Optimal Placement of Unified Power Flow Controller in Power System

机译：用新的混合方法优化电力系统统一潮流控制器的位置

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摘要

This study presents a hybrid genetic and particle swarm optimization algorithms to seek the optimal number and location of FACTS devices in a power system. Unified Power Flow Controller (UPFC) has great flexibility that can control the active and reactive power flow and bus voltages, simultaneously. Decoupled model of the UPFC is applied to maximize the system loadability subject to the transmission line capacity limits and specified voltage level. Optimal placement of UPFC in power system by Hybrid of GA and PSO Algorithm (HGAPSO) algorithm, it leads to a flat voltage profile and increased stability and capacity of the power transmission in lines. At the end, the proof is performed by simulating and testing the 14 bus network and placement of the UPFC appropriately. The results show that the steady state performance of power system can be effectively enhanced due to the optimal location and parameters of the UPFC.
机译：这项研究提出了一种混合遗传和粒子群优化算法，以寻找电力系统中FACTS设备的最佳数量和位置。统一潮流控制器（UPFC）具有极大的灵活性，可以同时控制有功和无功潮流以及总线电压。 UPFC的去耦模型适用于在传输线容量限制和指定电压水平的情况下最大化系统负载能力。 GA和PSO算法（HGAPSO）的混合算法在电力系统中UPFC的优化布置，可实现平坦的电压曲线，并提高了输电线路的稳定性和容量。最后，通过模拟和测试14个总线网络以及适当放置UPFC进行证明。结果表明，通过优化UPFC的位置和参数，可以有效提高电力系统的稳态性能。

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  • 作者

    R. Jahani; A. Safari; J. Olamaei; H.A. Shayanfar;

  • 作者单位

    Department of Electrical Engineering, Islamic Azad University, South Tehran Branch,Tehran, Iran;

    rnDepartment of Electrical Engineering,Center of Excellence for Power System Automation and Operation,Iran University of Science and Technology, Tehran, Iran;

    rnDepartment of Electrical Engineering, Islamic Azad University, South Tehran Branch,Tehran, Iran;

    rnDepartment of Electrical Engineering,Center of Excellence for Power System Automation and Operation,Iran University of Science and Technology, Tehran, Iran;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Hybrid GA; PSO algorithm; UPFC; power flow; optimal location; Iran;

    机译：混合遗传算法;PSO算法;UPFC;电流;最佳位置;伊朗;

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