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Particle swarm optimization based reactive power dispatch for power networks with distributed generation.

机译:基于粒子群优化的分布式发电网络无功调度。

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摘要

Reactive power is critical to the operation of the power networks on both safety aspects and economic aspects. Unreasonable distribution of the reactive power would severely affect the power quality of the power networks and increases the transmission loss. Currently, the most economical and practical approach to minimizing the real power loss remains using reactive power dispatch method.;Reactive power dispatch problem is nonlinear and has both equality constraints and inequality constraints. In this thesis, PSO algorithm and MATPOWER 5.1 toolbox are applied to solve the reactive power dispatch problem. PSO is a global optimization technique that is equipped with excellent searching capability. The biggest advantage of PSO is that the efficiency of PSO is less sensitive to the complexity of the objective function. MATPOWER 5.1 is an open source MATLAB toolbox focusing on solving the power flow problems. The benefit of MATPOWER is that its code can be easily used and modified.;The proposed method in this thesis minimizes the real power loss in a practical power system and determines the optimal placement of a new installed DG. IEEE 14 bus system is used to evaluate the performance. Test results show the effectiveness of the proposed method.
机译:无功功率对于电力网络在安全性和经济性方面的运行都是至关重要的。无功功率的不合理分配会严重影响电网的电能质量,增加传输损耗。当前,使用无功功率分配方法仍然是最小化有功功率损耗的最经济,最实用的方法。无功功率分配问题是非线性的,具有等式约束和不等式约束。本文采用PSO算法和MATPOWER 5.1工具箱解决了无功调度问题。 PSO是一种具有出色搜索能力的全局优化技术。 PSO的最大优点是PSO的效率对目标函数的复杂性不太敏感。 MATPOWER 5.1是一个开放源代码的MATLAB工具箱,专注于解决潮流问题。 MATPOWER的优点是它的代码易于使用和修改。;本文提出的方法将实际电力系统中的实际功率损耗降至最低,并确定新安装的DG的最佳位置。 IEEE 14总线系统用于评估性能。测试结果表明了该方法的有效性。

著录项

  • 作者

    Kou, Xiao.;

  • 作者单位

    University of Denver.;

  • 授予单位 University of Denver.;
  • 学科 Electrical engineering.
  • 学位 M.S.
  • 年度 2015
  • 页码 97 p.
  • 总页数 97
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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