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作 者:戴金 郭云涛 邹红波[3] 杨金龙 杨浩楠 DAI Jin;GUO Yuntao;ZOU Hongbo;YANG Jinlong;YANG Haonan(State Grid Hubei Electric Power Company,Wuhan 430000,China;State Grid Shaanxi Electric PowerCompany,Xi’an 710048,China;College of Electrical Engineering and New Energy,Three Gorges University,Yichang 443000,China)
机构地区:[1]国网湖北省电力有限公司,湖北武汉430000 [2]国网陕西省电力有限公司,陕西西安710048 [3]三峡大学电气与新能源学院,湖北宜昌443000
出 处:《智慧电力》2024年第12期96-103,共8页Smart Power
基 金:国家自然科学基金资助项目(52107108)。
摘 要:提出了一种基于多源混合数据的主动配电网鲁棒三相状态估计方法。首先,该方法考虑多源监控与数据采集系统、相量量测单元和高级量测体系数据的不同量测特性,建立了各三相量测-状态模型;然后,通过计算监控与数据采集系统、相量量测单元数据的最佳缓冲长度,将监控与数据采集系统、相量量测单元和高级量测体系数据进行量测断面归一化处理;最后,基于指数权鲁棒状态估计方法,提出了基于多源混合数据的主动配电网鲁棒三相状态估计方法。基于构建的IEEE-13节点主动配电网对本文所提方法进行仿真,仿真结果表明所提方法相对传统的加权最小二乘法鲁棒性好且精度更高。The paper proposes a robust three-phase state estimation method for active distribution network based on multi-source mixed data.Firstly,a three-phase measurement-state model is established with the method by considering the different measurement characteristics of multi-source monitoring and data acquisition system,phasor measurement unit and advanced measurement system.Then by calculating the optimal buffer length of data from the monitoring and data acquisition system and the phasor measurement unit,the data from the monitoring and data acquisition system,the phasor measurement unit,and the advanced measurement system are normalized.Finally,the multi-source mixed data based robust three-phase state estimation method for the active distribution network is proposed based on the exponential weighted robust state estimation method.The simulation is conducted based on the constructed IEEE 13-node active distribution network,the results show that the proposed method is more robust and accurate than the traditional weighted least square method.
分 类 号:TM744[电气工程—电力系统及自动化]
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