• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Xu, Zhibin (Xu, Zhibin.) [1] | Shao, Zhenguo (Shao, Zhenguo.) [2] (Scholars:邵振国) | Zhang, Yan (Zhang, Yan.) [3] | Wu, Yangjian (Wu, Yangjian.) [4]

Indexed by:

CPCI-S EI

Abstract:

The challenge of unobservability arising from insufficient measurement equipment has emerged as a critical impediment to achieving precise state estimation in distribution networks. Integrating traditional supervisory control and data acquisition (SCADA) data with advanced metering infrastructure (AMI) data can effectively enhance the redundancy of network measurement information, resulting in a more extensive and accurate state estimation results. However, the low resolution of AMI data is incapable of supporting the high-resolution real-time state estimation. To address this issue, a dynamic state estimation method for distribution networks based on pseudo-measurement modeling is proposed. Firstly, the mapping model between SCADA data and AMI data is established based on Gated Recurrent Unit (GRU), enabling the generation of real-time high-resolution pseudo-measurement data for AMI. Secondly, leveraging the SCADA measurement timestamps, a multi-source measurement dataset incorporating both the pseudo-measurement data and real-time measurement data is constructed. And then the dynamic state estimation of the distribution networks can be achieved based on the dataset. Finally, simulation based on IEEE 33-bus test network verifies the effectiveness of the proposed method.

Keyword:

advanced metering infrastructure dynamic state estimation Pseudo-measurement modeling supervisory control and data acquisition system

Community:

  • [ 1 ] [Xu, Zhibin]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou, Peoples R China
  • [ 2 ] [Shao, Zhenguo]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou, Peoples R China
  • [ 3 ] [Zhang, Yan]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou, Peoples R China
  • [ 4 ] [Wu, Yangjian]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou, Peoples R China
  • [ 5 ] [Xu, Zhibin]Fujian Prov Univ, Fuzhou Univ, Key Lab Energy Digitalizat, Fuzhou, Peoples R China
  • [ 6 ] [Shao, Zhenguo]Fujian Prov Univ, Fuzhou Univ, Key Lab Energy Digitalizat, Fuzhou, Peoples R China
  • [ 7 ] [Zhang, Yan]Fujian Prov Univ, Fuzhou Univ, Key Lab Energy Digitalizat, Fuzhou, Peoples R China
  • [ 8 ] [Wu, Yangjian]Fujian Prov Univ, Fuzhou Univ, Key Lab Energy Digitalizat, Fuzhou, Peoples R China

Reprint 's Address:

Show more details

Related Keywords:

Related Article:

Source :

2023 2ND ASIAN CONFERENCE ON FRONTIERS OF POWER AND ENERGY, ACFPE

Year: 2023

Page: 134-139

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

Online/Total:1285/10967992
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1