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Optimal Reactive Power Flow for Large-Scale Power Systems Using an Effective Metaheuristic Algorithm

机译：利用有效地图算法的大型电力系统最佳无功功率流量

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摘要

In this paper, stochastic fractal search method (SFS) is employed for solving the optimal reactive power flow (ORPF) problem with a target of optimizing total active power losses (TPL), voltage deviation (VD), and voltage stability index (VSI). SFS is an effective metaheuristic algorithm consisting of diffusion process and two update processes. ORPF is a complex problem giving challenges to applied algorithms by taking into account many complex constraints such as operating voltage from generators and loads, active and reactive power generation of generators, limit of capacitors, apparent power limit from branches, and tap setting of transformers. For verifying the performance, solutions of IEEE 30 and 118-bus system with TPL, VD, and VSI objectives are found by the SFS method with different control parameter settings. Result comparisons indicate that SFS is more favorable than other methods about finding effective solutions and having faster speed. As a result, it is suggested that SFS should be used for ORPF problem, and modifications performed on SFS are encouraged for better results.
机译：在本文中，使用随机分形搜索方法（SFS）来求解优化总有源功率损耗（TPL），电压偏差（VD）和电压稳定性指数（VSI）的目标的目标。 SFS是一种有效的成群质算法，包括扩散过程和两个更新过程。 ORPF是一个复杂的问题，通过考虑许多复杂的约束，诸如从发电机的工作电压，发电机的主动和无功发电，电容器极限，来自分支的视表位功率限制，以及挖掘变压器的可视电量限​​制等许多复杂的约束来实现算法的复杂问题。为了验证具有TPL，VD和VSI目标的IEEE 30和118-Bus系统的Solutions由具有不同控制参数设置的SFS方法。结果比较表明，SFS比关于找到有效解决方案和更快的速度的方法更有利。结果，建议应该用于ORPF问题的SFS，并鼓励对SFS进行的修改以获得更好的结果。

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  • 来源
    《Journal of electrical and computer engineering》 |2020年第1期|6382507.1-6382507.11|共11页
  • 作者

    Thanh Long Duong; Minh Quan Duong; Van-Duc Phan; Thang Trung Nguyen;

  • 作者单位

    Ind Univ Ho Chi Minh City Fac Elect Engn Technol Ho Chi Minh City Vietnam;

    Univ Sci & Technol Elect Engn Fac Danang City Vietnam;

    Van Lang Univ Fac Automobile Technol Ho Chi Minh City 700000 Vietnam;

    Ton Duc Thang Univ Fac Elect & Elect Engn Power Syst Optimizat Res Grp Ho Chi Minh City 700000 Vietnam;

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