首页> 外文会议>IEEE Power Engineering Society General Meeting >Power system fault diagnosis modeling techniques based on encoded Petri nets
【24h】

Power system fault diagnosis modeling techniques based on encoded Petri nets

机译:基于编码Petri网的电力系统故障诊断造型技术

获取原文

摘要

In this paper, power system fault diagnosis based on Petri nets and coding theory is further studied. Previous research work is briefly reviewed. Characteristics of Petri nets model in power system fault diagnosis and identification are demonstrated in detail, also a fast model revision algorithm of power components is proposed, which makes the scheme more applicable to large-scale power network. The method is tested in the IEEE 118-bus power system and simulation results show that the suggested approach is accurate by using of error correction theory, model revision is easy, fast when power network is expanded or topology is changed, which makes the encoded Petri nets method more applicable in real power system.
机译:本文进一步研究了基于Petri网和编码理论的电力系统故障诊断。简要审查了以前的研究工作。在电力系统故障诊断和识别中Petri网模型的特点详细说明,提出了一种快速模型修订算法,这使得该方案更适用于大型电网。该方法在IEEE 118总线电力系统中测试,仿真结果表明,通过使用纠错理论,建议的方法是准确的,模型修订简单,当电网扩展或拓扑发生时快速,这使得编码培养网络方法更适用于实际电力系统。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号