| 引用本文: | 王日宁,武 一,魏浩铭,王成伟.基于智能终端特征信号的配电网台区拓扑识别方法[J].电力系统保护与控制,2021,49(6):83-89.[点击复制] |
| WANG Rining ,WU Yi,WEI Haoming,WANG Chengwei.Topology identification method for a distribution network area based on the characteristic signal of a smart terminal unit[J].Power System Protection and Control,2021,49(6):83-89[点击复制] |
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| 摘要: |
| 针对低压配电网台区拓扑结构混乱、更新不及时的问题，提出了一种基于智能终端特征信号的配电网台区拓扑识别方法。首先利用低压智能终端(LTU)的通信地址关联各级开关子节点，并注入高辨识度的无功补偿特征信号，改变各开关处的无功功率值。配变智能终端(TTU)根据台区拓扑识别策略，对各开关处的无功功率检测结果进行边缘计算，得出台区内开关的各级连接关系，实现低压台区自下而上的就地拓扑结构识别。根据试点台区的实践结果，验证了所提台区拓扑识别方法具有可推广的工程应用价值。 |
| 关键词: 低压台区 配电物联网 智能终端 特征信号 拓扑识别 自下而上 |
| DOI：DOI: 10.19783/j.cnki.pspc.200984 |
| 投稿时间：2020-08-13修订日期：2020-10-16 |
| 基金项目:国家自然科学基金面上项目资助(51977059)；珠海市产业核心和关键技术攻关方向项目资助(ZH2204470219 0058HJL)“配电侧泛在电力物联网关键技术研究及应用” |
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| Topology identification method for a distribution network area based on the characteristic signal of a smart terminal unit |
| WANG Rining 1,WU Yi1,WEI Haoming2,WANG Chengwei2 |
| (1. Hebei University of Technology, Tianjin 300401, China; 2. Zhuhai Xuji Electric Co., Ltd., Zhuhai 519060, China) |
| Abstract: |
| To solve the problem of badly wired and low real-time performance of a low voltage distribution network topology structure, this paper proposes a topology identification method for the distribution network based on the characteristic signal of a smart terminal unit. First, the communication address of the Low-Voltage Intelligent Terminal (LTU) is used to correlate each level switch, and the reactive values at each switch are changed by injecting reactive compensation characteristic signals. Then for the detection results of reactive value in each switch, based on a topology identification strategy, edge computing is performed in the distribution Transformer supervisory Terminal Unit (TTU). The result of the edge computing is the connection relation of switches in the area. The topological structure of low-voltage areas is identified from bottom to top. Finally, the practical engineering value of the topology identification method is proved according by the results from a pilot area.
This work is supported by the General Project of National Natural Science Foundation of China (No. 51977059). |
| Key words: low-voltage area distribution internet of things smart terminal unit characteristic signal topology identification from bottom to up |
