...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Australian journal of electrical and electronics engineering >Agent-based Multi-source Wide-area Current Protection For Systems With Distributed Generators
【24h】

Agent-based Multi-source Wide-area Current Protection For Systems With Distributed Generators

机译：带有分布式发电机的系统基于代理的多源广域电流保护

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

With the introduction of distribution generation, the distribution network changes from radial network into multi-source network, so the traditional inverse-time over-current protection based on radial network is not applicable. The demand for the research of a new type of protection strategy is urgent. This paper introduces the application of intelligent agents to the protection of the distribution system with distributed generators (DGs). The method of fault location is accomplished in two steps. First, find out the node with a T-type branch formed by the DG connection, through comparing amplitude of power frequency variation of each branch to lock the fault branch and to narrow down the fault area between two T-type nodes. So as to find out the specific fault area B, namely the smallest power-cut scope, in the sketchy fault area, amplitude comparison of fault current and PFVC at the line section's two ends is used to discriminate whether fault occurs in this section. Once this method fails the phase relation between PFVC and load current after the shifted phase would be applied, so that fault area B is located. The scheme of protection is applicable in fault area location for complicated networks with distributed generation and the proposed intelligent multi-agent-based architecture is illustrated.
机译：随着配电网发电的引入，配电网由辐射型网络转变为多源网络，因此传统的基于辐射型网络的反时限过电流保护方法不再适用。迫切需要研究一种新型的保护策略。本文介绍了智能代理在分布式发电机（DG）的配电系统保护中的应用。故障定位方法分两步完成。首先，通过比较每个分支的工频变化幅度来锁定故障分支并缩小两个T型节点之间的故障区域，找出由DG连接形成的具有T型分支的节点。为了找出特定的故障区域B，即最小的停电范围，在粗略的故障区域中，使用线路段两端的故障电流和PFVC的幅度比较来判别该段是否发生故障。一旦该方法失败，将应用移相后的PFVC和负载电流之间的相位关系，从而确定故障区域B。该保护方案适用于分布式发电的复杂网络的故障区域定位，并说明了所提出的基于智能多智能体的体系结构。

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