| 引用本文: | 夏澍,王乃盾,史媛,韩浩江.电缆配电网的线-变-表拓扑异常辨识方法[J].电力系统保护与控制,2019,47(11):44-50.[点击复制] |
| XIA Shu,WANG Naidun,SHI Yuan,HAN Haojiang.Line-transformer-meter topology anomaly identification method for cable distribution network[J].Power System Protection and Control,2019,47(11):44-50[点击复制] |
|
| 摘要: |
| 线-变-表拓扑异常是造成分线线损率统计值不合理的一个主要原因。同时考虑到部分分线涉及的设备量较多、异常情况复杂，仅靠现场排查难度很大。为了克服这一难题，针对电缆配电网接线方式，提出了一种线-变-表拓扑异常辨识方法。为了保证分析的客观性，基于分线线损率计算公式，分析了拓扑异常对线损率的影响，并分别针对单环式和双射式两种基本的电缆配电网接线方式，提炼了相应的拓扑异常类型。为了提高现场排查效率，推导了不同异常类型情况下线损率实际值与统计值的关系式，并提出了拓扑异常辨识方法，能够在现场核查前预判出异常原因。最后，通过实际算例计算，验证了所提方法的有效性。 |
| 关键词: 分线线损率 电缆配电网 拓扑异常 辨识方法 |
| DOI：10.7667/PSPC20191107 |
| 投稿时间：2018-06-14修订日期：2018-07-19 |
| 基金项目:国家电网公司科技项目资助(52091418005N);国家自然科学基金项目资助(51507100) |
|
| Line-transformer-meter topology anomaly identification method for cable distribution network |
| XIA Shu,WANG Naidun,SHI Yuan,HAN Haojiang |
| (Shibei Electricity Supply Company, State Grid Shanghai Municipal Electric Power Company, Shanghai 200072, China) |
| Abstract: |
| The line-transformer-meter topology anomaly is a major reason for unreasonable statistical value of line loss rate. Taking into account that the equipment involved in the part of lines is more and abnormal situation is complex, it is very difficult to find out the reason only by on-site inspection method. To overcome this problem, a method of line-variable-table topology anomaly identification for cable distribution network connection is presented in this paper. To ensure the objectivity of analysis, the influence of topology anomaly on the line loss rate is analyzed based on the calculation formula of the line loss rate, and the corresponding topology anomaly types are refined for the single-loop wiring and bi-directional wiring. To improve the efficiency of site investigation work, the relationship between the actual value and the statistical value of line loss rate under different types of anomalies is deduced, and a method of identifying topological anomalies is proposed to predict the anomalies before the on-site inspection. Finally, a numerical example is presented to verify the validity of the method. This work is supported by Science and Technology Project of State Grid Corporation of China (No. 52091418005N) and National Natural Science Foundation of China (No. 51507100). |
| Key words: line loss rate cable distribution network topology anomaly identification method |
