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Secondary Voltage Control using Singular Value Decomposition by Discovering Community Structures in Power Networks

机译:通过发现电网社区结构,利用奇异值分解进行二次电压控制

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摘要

Voltage and Frequency control are the two fundamental control problems in power systems. Unlike frequency control, voltage control is complicated by the fact that reactive power can't travel far distances from its source of generation. Due to this distributed nature of reactive power, voltage control is usually performed in decentralized manner. Typically, voltage control problem is divided into a three-level hierarchical structure namely primary, secondary and tertiary voltage control.;The aim of this thesis is to present an optimal secondary voltage control by decomposing a large power system into small subsystems called voltage control areas (VCAs) using the fast community detection algorithm. Each VCA is self-sufficient in satisfying its reactive power demand. A load bus, called pilot point/bus, is selected in each VCA as a representative of the voltage profile of the whole area. Singular value decomposition of Fast Decoupled Load Flow (FDLF) Jacobian is used to optimally control the voltages of these pilot buses.;The presented approach is tested on two standard IEEE test power systems i.e. 9-Bus and 39-Bus systems. The computational time comparison of the fast community detection algorithm with another algorithm called original-GN algorithm is also presented. Through simulation results, it is shown that the presented optimal voltage control (Opt-VC) is a better approach compared to sensitivity based voltage control (Sen-VC).
机译:电压和频率控制是电力系统中的两个基本控制问题。与频率控制不同,电压控制的复杂性在于无功功率不能远离其发电源。由于无功功率的这种分布式性质,电压控制通常以分散的方式执行。通常,电压控制问题分为三级分层结构,即一次,二次和三次电压控制。;本文的目的是通过将大型电力系统分解为称为电压控制区的小型子系统,以提供最佳二次电压控制。 (VCA)使用快速社区检测算法。每个VCA都能满足其无功功率需求。在每个VCA中选择一条称为先导点/母线的负载母线,以代表整个区域的电压曲线。快速解耦潮流(FDLF)雅可比矩阵的奇异值分解可用于最佳地控制这些先导总线的电压。;该方法已在9个总线和39个总线的两个标准IEEE测试电源系统上进行了测试。还介绍了快速社区检测算法与另一种称为原始GN算法的计算时间比较。通过仿真结果表明,与基于灵敏度的电压控制(Sen-VC)相比,提出的最佳电压控制(Opt-VC)是更好的方法。

著录项

  • 作者

    Iqbal, Talha.;

  • 作者单位

    West Virginia University.;

  • 授予单位 West Virginia University.;
  • 学科 Electrical engineering.
  • 学位 M.S.
  • 年度 2017
  • 页码 91 p.
  • 总页数 91
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:38:51

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