基于实时站内图映射的故障准确辨识方法
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李乃永(1981-),男,博士,高级工程师,研究方向为电力系统运行与控制、故障诊断、分布式发电等。E-mail: guyan1127@163.com

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Accurate fault identification method based on real-time substation graph mapping
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    摘要:

    为了提高电网故障分析处理的快速性,提出一种基于实时站内图映射的故障矢量分析及故障诊断方法。该方法采用基于站内设备通用信息统一建模及映射技术,自动上传相关事件的故障录波数据、保护动作信息,并实现相关间隔的故障电流矢量和的自动计算,为故障点快速定位和保护动作行为精细评价提供了有效工具。实例分析表明,本方法实现了各间隔的故障数据在站内图上统一直观展示,快速准确辨识故障位置和故障类型,在多起电网故障处理提供了急需的决策支持。

    Abstract:

    In order to improve the rapidity of power system fault analysis and processing, this paper introduces a kind of fault identification method based on the real-time substation graph mapping, with which fault wave record and protection information can automatically upload and fault current vector can be calculated in real time through the general information unified modeling station equipment and mapping technology. The fault vector analysis diagnosis method provides an effective tool for fault location and accurate evaluation of protection operation. Example analysis shows that each gap unit fault data can be shown in a visual unity and fault location and fault type can be identified quickly and accurately. This system provides a much-needed decision support in several fault handling of the large-scale power grid.

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李乃永,林霞,李静,等.基于实时站内图映射的故障准确辨识方法[J].电力系统保护与控制,2015,43(8):58-63.[LI Naiyong, LIN Xia, LI Jing, et al. Accurate fault identification method based on real-time substation graph mapping[J]. Power System Protection and Control,2015,V43(8):58-63]

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  • 收稿日期:2014-06-17
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  • 在线发布日期: 2015-04-10
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