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A new approach for optimum DG placement and sizing based on voltage stability maximization and minimization of power losses

机译:一种基于电压稳定性最大化和功率损耗最小化的最佳DG放置和尺寸调整的新方法

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摘要

Distributed Generation (DG) placement on the basis of minimization of losses and maximization of system voltage stability are two different approaches, discussed in research. In the new proposed algorithm, a multi-objective approach is used to combine the both approaches together. Minimization of power losses and maximization of voltage stability due to finding weakest voltage bus as well as due to weakest link in the system are considered in the fitness function. Particle Swarm Optimization (PSO) algorithm is used in this paper to solve the multi-objective problem. This paper will also compare the propose method with existing DG placement methods. From results, the proposed method is found more advantageous than the previous work in terms of voltage profile improvement, maximization of system loadability, reduction in power system losses and maximization of bus and line voltage stability. The results are validated on 12-bus, 30-bus, 33-bus and 69-bus radial distribution networks and also discussed in detailed.
机译:在研究中讨论了基于最小化损耗和最大化系统电压稳定性的分布式发电(DG)布置的两种不同方法。在新提出的算法中,使用多目标方法将两种方法结合在一起。在适应度函数中考虑了由于找到最弱的电压总线以及由于系统中最弱的链路而导致的功率损耗的最小化和电压稳定性的最大化。本文采用粒子群算法(PSO)来解决多目标问题。本文还将提出的方法与现有的DG放置方法进行比较。从结果可以看出,所提出的方法在改善电压曲线,最大化系统负载能力,减少电力系统损耗以及最大化总线和线路电压稳定性方面比以前的工作更具优势。在12总线,30总线,33总线和69总线的径向配电网络上验证了结果,并进行了详细讨论。

著录项

  • 来源
    《Energy Conversion & Management》 |2013年第6期|202-210|共9页
  • 作者单位

    Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia;

    Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia;

    UM Power Energy Dedicated Advanced Centre (UMPEDAC) Level 4, Wisma R&D UM, University of Malaya, Jalan Pantai Baharu, 59990 Kuala Lumpur, Malaysia;

    Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia, UM Power Energy Dedicated Advanced Centre (UMPEDAC) Level 4, Wisma R&D UM, University of Malaya, Jalan Pantai Baharu, 59990 Kuala Lumpur, Malaysia;

  • 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

    Distributed generation; Voltage stability indices; Multi-objective particle swarm; optimization;

    机译:分布式发电;电压稳定性指标;多目标粒子群;优化;
  • 入库时间 2022-08-18 00:25:57

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