A Review on State Estimation Techniques in Active Distribution Networks: Existing Practices and Their Challenges

被引:23
|
作者
Radhoush, Sepideh [1 ]
Bahramipanah, Maryam [1 ]
Nehrir, Hashem [1 ]
Shahooei, Zagros [1 ]
机构
[1] Montana State Univ, Elect & Comp Engn Dept, Bozeman, MT 59718 USA
基金
美国国家科学基金会;
关键词
distribution system state estimation; distributed state estimation; model-based state estimation; data-based state estimation; POWER-FLOW; DISTRIBUTION-SYSTEMS; EFFICIENT; PARALLEL; ALGORITHM; LOAD; UNCERTAINTY; PLACEMENT; IMPACT; GRIDS;
D O I
10.3390/su14052520
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper provides a comprehensive review of distribution system state estimation in terms of basic definition, different methods, and their application. In the last few years, the operation of distribution networks has been influenced by the installation of distributed generations. In order to control and manage an active distribution network's performance, distribution system state estimation methods are introduced. A transmission system state estimation cannot be used directly in distribution networks since transmission and distribution networks are different due to topology configuration, the number of buses, line parameters, and the number of measurement instruments. So, the proper state estimation algorithms should be proposed according to the main distribution network features. Accuracy, computational efficiency, and practical implications should be considered in the designing of distribution state estimation techniques since technical issues and wrong decisions could emerge in the control center by inaccurate distribution state estimation results. In this study, conventional techniques are reviewed and compared with data-driven methods in order to highlight the pros and cons of different techniques. Furthermore, the integrated distribution state estimation methods are compared with the distributed approaches, and the different criteria, including the level of area overlapping execution time and computing architecture, are elaborated. Moreover, mathematical problem formulation and different measuring methods are discussed.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Trade-Offs in PMU Deployment for State Estimation in Active Distribution Grids
    Liu, Junqi
    Tang, Junjie
    Ponci, Ferdinanda
    Monti, Antonello
    Muscas, Carlo
    Pegoraro, Paolo Attilio
    IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (02) : 915 - 924
  • [32] Scalable Distribution Systems State Estimation Using Long Short-Term Memory Networks as Surrogates
    Cao, Zhiyuan
    Wang, Yubo
    Chu, Chi-Cheng
    Gadh, Rajit
    IEEE ACCESS, 2020, 8 (23359-23368): : 23359 - 23368
  • [33] State Estimation in Water Distribution Network: A Review
    Tshehla, Kgaogelo S.
    Hamam, Yskandar
    Abu-Mahfouz, Adnan M.
    2017 IEEE 15TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2017, : 1247 - 1252
  • [34] Multi-area distributed three-phase state estimation for unbalanced active distribution networks
    Chen, Sheng
    Wei, Zhinong
    Sun, Guoqiang
    Lu, Ning
    Sun, Yonghui
    Zhu, Ying
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2017, 5 (05) : 767 - 776
  • [35] Multi-area state estimation for active distribution networks under multiple uncertainties: An affine approach
    Xu, Junjun
    Liu, Jinxin
    Wu, Zaijun
    Jiang, Wei
    Wu, Qiuwei
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2024, 155
  • [36] Interval State Estimation of Hydraulics in Water Distribution Networks
    Vrachimis, S. G.
    Timotheou, S.
    Eliades, D. G.
    Polycarpou, M. M.
    2018 EUROPEAN CONTROL CONFERENCE (ECC), 2018, : 2641 - 2646
  • [37] Enhancement of two-step state estimation performance in unbalanced distribution networks
    Amiri, Karim
    Kazemzadeh, Rasool
    COMPUTERS & ELECTRICAL ENGINEERING, 2020, 86
  • [38] Distributed state estimation method based on WLS-AKF hybrid algorithm for active distribution networks
    Jiang, Sicheng
    Li, Shiwei
    Wu, Hongbin
    Hua, Yuting
    Xu, Bin
    Ding, Ming
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2023, 145
  • [39] Spatial-Temporal State Estimation using CMCGD Applied to Distribution Networks
    Shafiei, Mehdi
    Arefi, Ali
    Nourbakhsh, Ghavameddin
    Ledwich, Gerard
    2017 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT-EUROPE), 2017,
  • [40] An Interval Arithmetic-Based State Estimation Framework for Power Distribution Networks
    Xu, Junjun
    Wu, Zaijun
    Yu, Xinghuo
    Hu, Qinran
    Dou, Xiaobo
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (11) : 8509 - 8520