A Multiarea State Estimation for Distribution Networks Under Mixed Measurement Environment

被引:13
|
作者
Mao, Mingming [1 ]
Xu, Junjun [2 ,3 ]
Wu, Zaijun [1 ]
Hu, Qinran [1 ]
Dou, Xiaobo [1 ]
机构
[1] Southeast Univ, Sch Elect Engn, Nanjing 210096, Jiangsu, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Coll Automat, Nanjing 210023, Peoples R China
[3] Nanjing Univ Posts & Telecommun, Coll Artificial Intelligence, Nanjing 210023, Peoples R China
基金
中国国家自然科学基金;
关键词
Phasor measurement units; Distribution networks; Synchronization; Time measurement; State estimation; Informatics; Mathematical models; Distributed generation (DG); distribution networks; hybrid measurements; multiarea state estimation (MASE); synchronization; ISLANDING DETECTION; SYSTEM; MODEL; GENERATION;
D O I
10.1109/TII.2021.3119949
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A grand challenge for the state estimation (SE) method in large-scale distribution networks lies in how to deal with the increasing computational tasks. This article addresses the issue and proposes a novel multiarea architecture for the unbalanced distribution network SE method. The first step of the method is to introduce an innovative multiarea state estimation (MASE) model using microphasor measurement units (mu PMU) mixed with conventional supervisory control and data acquisition (SCADA) systems, with both the coordinate tensions and synchronization issues considered. The proposed model contains a SCADA measurement delay estimator and a MASE algorithm. Then, the hybrid state estimation (HSE) model is solved in a distributed way. In each subarea, the HSE problem is solved locally with minimal data exchanges among neighbor subareas. Case studies show the accuracy and efficiency enhancements obtainable of the proposed MASE method with respect to existing ones.
引用
收藏
页码:3620 / 3629
页数:10
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