引用本文: | 唐伦,丁理杰,史华勃,等.用于大规模电磁暂态模型自动生成的拓扑分层识别方法[J].电力系统保护与控制,2019,47(21):100-108.[点击复制] |
TANG Lun,DING Lijie,SHI Huabo,et al.Topology hierarchical identification method for automatic model generation of large-scale electromagnetic transient simulation[J].Power System Protection and Control,2019,47(21):100-108[点击复制] |
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摘要: |
电力系统拓扑自动识别是实现大规模电力系统电磁暂态可视化仿真模型自动生成的重要基础。现有算法大多局限于单层拓扑描述,难以满足大规模电磁暂态模型自动生成对模型分层清晰布局、模块化建模的应用需求。针对该问题提出一种基于关联矩阵压缩和支路指针矢量更新的电力系统拓扑分层识别方法。该方法避免了大量的图搜索和逻辑运算,实现了基于大规模数据源的厂站节点搜索和“站间拓扑+站内拓扑”的自动分层识别,为后续站点自动布局和元件参数自动映射工作提供拓扑基础。对简化系统算例和西南电网实际大规模系统算例进行算法测试分析,验证了所提方法的正确性及适应性。算法可直接应用于省级或区域级复杂电力系统的拓扑分层识别及可视化模型自动生成工作。 |
关键词: 大规模电力系统 模型自动生成 拓扑分层识别 关联矩阵 支路指针矢量 |
DOI:10.19783/j.cnki.pspc.181519 |
投稿时间:2018-12-05修订日期:2019-01-15 |
基金项目:国家重点研发计划项目资助(2018YFB0905200) |
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Topology hierarchical identification method for automatic model generation of large-scale electromagnetic transient simulation |
TANG Lun,DING Lijie,SHI Huabo,LUO Bin,XIA Chun,CHEN Gang,WANG Xi,SUN Xinwei |
(State Grid Sichuan Electric Power Research Institute, Chengdu 610041, China;Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610200, China;Southwest Subsection of State Grid, Chengdu 610041, China) |
Abstract: |
Power system topology automatic identification is the important foundation of automatic visual model generation of electromagnetic transient simulation for large-scale power system. Most traditional algorithms for power system topology identification are limited to single-tier description, which is hard to meet the demands of hierarchical clear layout and modular modeling in large-scale automatic electromagnetic transient modeling. Therefore, a new method of power system topology hierarchical identification based on the compression of incidence matrix and the update of branch pointer vector is proposed in this paper. This method realizes automatic search of substation nodes and hierarchical identification of ‘inter-station topology + in-station topology’ based on large-scale data source, without massive graph search and logical operation, and lays a topology foundation for subsequent work of automatic substation layout and element parameter mapping. The method is tested on a simplified system case and the actual large-scale system case of Southwest Grid of China, with its validity and adaptability verified. The method proposed can be used directly in automatic topology hierarchical identification and visual modeling of complex power system in provincial or regional scale. This work is supported by National Key Research and Development Program of China (No. 2018YFB0905200). |
Key words: large-scale power system automatic model generation topology hierarchical identification incidence matrix branch pointer vector |