一种基于孤岛搜索的电力系统拓扑分层识别方法
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TM713

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Hierarchical Identification Method for Power System Topology Based on Islanding Search
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    摘要:

    电力系统拓扑自动识别是电磁暂态自动建模的重要基础。针对现有拓扑识别方法大多局限于单层拓扑描述 的不足,结合电磁暂态自动建模进行厂站模块化封装的实际需求,提出一种基于孤岛搜索的电力系统拓扑分层识别 算法,实现了基于电网主流仿真数据的“站间拓扑 + 站内拓扑”自动分层识别。首先给出了算法原理及实现细节,然 后利用 CEPRI 36 节点算例及某实际省级主网数据对算法进行测试,验证了算法的正确性及有效性。研究表明,该算 法可直接应用于省级复杂电力系统的拓扑自动生成及可视化建模工作。

    Abstract:

    Automatic identification of power system topology is an important foundation for automatic electromagnetic transient modeling. Traditional algorithms for power system topology identification are limited to single tier description,which cannot meet the demands of modular modeling. Therefore,a new hierarchical identification method for power system topology based on islanding search is proposed. This method provides an approach for automatic hierarchical identification of " inter - station topology + in - station topology" based on mainstream simulation data for power system analysis. The algorithm principle and details are given firstly,and then the algorithm is tested on CEPRI 36 nodes system using an actual grid simulation data of a certain province,which proves to be correct and effective. The proposed algorithm can be used directly in automatic topology generation and visual modeling of complex power system in province scale.

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  • 在线发布日期: 2022-05-19
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