智慧电力2024,Vol.52Issue(12) :96-103.DOI:10.20204/j.sp.2024.12013

基于多源混合数据的主动配电网鲁棒三相状态估计方法

Robust Three-phase State Estimation Method for Active Distribution Network Based on Multi-source Mixed Data

戴金 郭云涛 邹红波 杨金龙 杨浩楠
智慧电力2024,Vol.52Issue(12) :96-103.DOI:10.20204/j.sp.2024.12013

基于多源混合数据的主动配电网鲁棒三相状态估计方法

Robust Three-phase State Estimation Method for Active Distribution Network Based on Multi-source Mixed Data

戴金 1郭云涛 2邹红波 3杨金龙 3杨浩楠3
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作者信息

  • 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
  • 折叠

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.

Abstract

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.

关键词

主动配电网/指数权估计/多源数据/状态估计

Key words

active distribution network/exponential weighted estimation/multi-source data/state estimation

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出版年

2024
智慧电力
陕西省电力公司

智慧电力

CSTPCD北大核心
影响因子:0.831
ISSN:1673-7598
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