基于μPMU量测的配电网自适应拓扑识别方法  

Adaptive topology identification method of distribution network based onμPMU measurement

作　　者：代钰欣 郑涛[1] 鲁晓毅 杨畅 吴巨豪 李畅[1] DAI Yuxin;ZHENG Tao;LU Xiaoyi;YANG Chang;WU Juhao;LI Chang(School of Electrical Engineering,Xi’an Jiaotong University,Xi’an 710115,China)

机构地区：[1]西安交通大学电气工程学院,陕西西安710115

出　　处：《电力自动化设备》2024年第8期100-108,共9页Electric Power Automation Equipment

基　　金：国家自然科学基金资助项目(52007143)。

摘　　要：针对现有拓扑识别方法存在的耗时长、量测冗余多、难以捕捉到网络变化等问题,提出了一种基于自适应退火算法的配电网拓扑识别方法。基于优化配置的微型同步相量量测单元(μPMU),通过增添校验装置,自动修正拓扑识别过程中不良数据、干扰噪声的影响;通过自适应控温、变异的退火方法,实现闭环反馈,并比较拓扑相异度以准确进行拓扑识别。算例分析结果表明,所提方法在不同的干扰、量测误差下均具有较高的识别准确率,实时性强且鲁棒性好。Aiming at the problems of the existing topology identification methods,such as long time consumption,more measurement redundancy and difficult to capture network variation etc.,a topology identification method of distribution network based on the adaptive annealing algorithm is proposed.Based on the optimally configured micro-synchronous phasor measurement unit(μPMU),the influences of bad data and interference noise in the topology identification process are automatically corrected by adding calibration devices.The closed-loop feedback is realized by the adaptive temperature control and variable annealing method,and the topology heterogeneity is compared to carry on topology identification correctly.Case study analysis results show that the proposed method has higher identification accuracy,strong real-time performance and good robustness under various interferences and measurement errors.

关 键 词：配电网 拓扑识别 微型同步相量量测单元 拓扑相异度 自适应退火算法 莱维飞行算子 

分 类 号：TM73[电气工程—电力系统及自动化]