Topology Processor design for EHV Substations

Wonkeun Yu, Junghyun Oh, M. Yoon, Heungjae Lee
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Abstract

The intelligent application is one of the major issues in power system research. The topology identification is one of the most important modules to develop intelligent system such as fault diagnosis and restoration expert system. This paper presents the topology processor in order to identify topology effectively in a practical 765kV substation in Korea composed of the double-bus and 1.5 CB, which is the typical structure of EHV substations. The proposed topology processor redefines switching group composed of circuit breaker, disconnecting switches and ground switches as aggregated circuit breaker. The proposed system remarkably reduces the search space and search time for topology identification. The proposed topology processor is developed using the data of a practical 765kV substation in Korea. The proposed system can be applied to intelligent systems such as fault diagnosis and restoration expert system and contribute to improving the performance of intelligent systems.
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超高压变电站拓扑处理器设计
智能应用是电力系统研究的主要问题之一。拓扑识别是开发故障诊断与恢复专家系统等智能系统的重要模块之一。本文针对韩国某超高压变电站典型结构——双母线+ 1.5 CB组成的实际765kV变电站,提出了一种拓扑处理器,以有效识别该变电站的拓扑结构。该拓扑处理器将由断路器、断开开关和接地开关组成的开关组重新定义为聚合断路器。该系统显著减少了拓扑识别的搜索空间和搜索时间。所提出的拓扑处理器是利用韩国实际765kV变电站的数据开发的。该系统可应用于故障诊断和恢复专家系统等智能系统,有助于提高智能系统的性能。
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