| 引用本文: | 殷 涵,宣 羿,黄 怡,等.基于虚拟阻抗的低压配电网拓扑识别方法[J].电力系统保护与控制,2024,52(3):83-93.[点击复制] |
| YIN Han,XUAN Yi,HUANG Yi,et al.Virtual impedance-based low-voltage distribution network topology identification method[J].Power System Protection and Control,2024,52(3):83-93[点击复制] |
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| 摘要: |
| 当前拓扑识别技术难以反映潮流特性对拓扑识别的影响，基于配电网现有量测数据，通过分析节点间的电气距离，提出了虚拟阻抗的概念。将节点间具备电气意义的且与电气距离成正相关的连续变量定义为虚拟阻抗，并提出了一种基于虚拟阻抗的低压配电网拓扑识别方法。首先，构建以节点间虚拟阻抗为因变量的多元线性回归方程。然后，通过岭回归计算每一个单相电表与关口电表构成的回归方程的虚拟阻抗，根据计算结果快速判别出拓扑关系异常的电气设备。最后，建立基于导数动态时间弯曲(derivative dynamic time warping, DDTW)距离的校验模型，重新构建得到电气设备的正确拓扑关系，实现低压配电网拓扑关系的修正。以实际的低压配电网台区样本数据为依据，验证了所提方法的有效性。 |
| 关键词: 低压配电网 拓扑识别 虚拟阻抗 潮流特性 |
| DOI：10.19783/j.cnki.pspc.230902 |
| 投稿时间：2023-07-14修订日期：2023-09-20 |
| 基金项目:国家自然科学基金项目资助(51907114)；上海市教育发展基金会晨光计划项目资助(19CG61) |
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| Virtual impedance-based low-voltage distribution network topology identification method |
| YIN Han1,XUAN Yi2,HUANG Yi3,SUN Zhiqing2,ZHAO Jian1,BAO Ruoyu1 |
| (1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
2. Hangzhou Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310016, China;
3. State Grid Corporation of China, Beijing 100032, China) |
| Abstract: |
| At present, topology recognition technology finds it difficult to reflect the influence of power flow characteristics on topology identification. The concept of virtual impedance is introduced. This defines continuous variables with electrical meaning between nodes that are positively correlated with electrical distance as virtual impedance. A virtual impedance-based low-voltage distribution network topology identification method is proposed by analyzing the electrical distance between nodes using existing measurement data in the distribution network. First, a multiple linear regression equation is constructed with virtual impedance between nodes as the dependent variable. Then, using ridge regression, the virtual impedance of the regression equation composed of each single-phase meter and junction meter is calculated to quickly identify faulty electrical equipment with incorrect topology relationships. Finally, a verification model based on derivative dynamic time warping (DDTW) distance is established to reconstruct the correct topology relationships of electrical equipment and achieve the correction of the topology relationships in the low-voltage distribution network. The effectiveness of the proposed method is validated based on actual sample data of low-voltage distribution network substations. |
| Key words: low-voltage distribution network topology identification virtual impedance power flow characteristics |
