Anomaly processing in power system dynamic state estimation

被引:0
|
作者
Zhang, Boming [1 ]
Wang, Shiying [1 ]
Xiang, Niande [1 ]
机构
[1] Tsinghua Univ, Beijing, China
关键词
Identification (control systems) - State estimation;
D O I
暂无
中图分类号
TM7 [输配电工程、电力网及电力系统];
学科分类号
080802 ;
摘要
An efficient anomaly processing algorithm in power system state estimation was proposed. The anomalies that can be detected, identified and processed by this method include a sudden change on system state, multiple bad data, network topology errors and the simultaneity of bad data and sudden change on system states. Digital tests show that the algorithm is efficient in dealing with various anomalies.
引用
收藏
页码:52 / 58
相关论文
共 50 条
  • [31] Data Anomaly Detection in Power System State Estimation Based on Support Vector Machine
    Guo, Jiahui
    Nie, Bingqing
    2024 5TH INTERNATIONAL CONFERENCE ON MECHATRONICS TECHNOLOGY AND INTELLIGENT MANUFACTURING, ICMTIM 2024, 2024, : 407 - 411
  • [32] An extended Kalman particle filter for power system dynamic state estimation
    Yu, Yang
    Wang, Zhongjie
    Lu, Chengchao
    COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2018, 37 (06) : 1993 - 2005
  • [33] Influence of Phasor Measurement Unit in Power System Dynamic State Estimation
    Dowi, Sideig A.
    Li, Gengyin
    2013 2ND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND MEASUREMENT, SENSOR NETWORK AND AUTOMATION (IMSNA), 2013, : 395 - 399
  • [34] Optimal PMU Placement Evaluation for Power System Dynamic State Estimation
    Zhang, Jinghe
    Welch, Greg
    Bishop, Gary
    Huang, Zhenyu
    2010 IEEE PES CONFERENCE ON INNOVATIVE SMART GRID TECHNOLOGIES EUROPE (ISGT EUROPE), 2010,
  • [35] Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation
    Zhao, Junbo
    Netto, Marcos
    Huang, Zhenyu
    Yu, Samson Shenglong
    Gomez-Exposito, Antonio
    Wang, Shaobu
    Kamwa, Innocent
    Akhlaghi, Shahrokh
    Mili, Lamine
    Terzija, Vladimir
    Meliopoulos, A. P. Sakis
    Pal, Bikash
    Singh, Abhinav Kumar
    Abur, Ali
    Bi, Tianshu
    Rouhani, Alireza
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2021, 36 (03) : 2462 - 2472
  • [36] Fusion of PMU and SCADA Data for Dynamic State Estimation of Power System
    Ghosal, Malini
    Rao, Vittal
    2015 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2015,
  • [37] A Data-driven Approach to Power System Dynamic State Estimation
    Kumari, Deepika
    Bhattacharyya, S. P.
    2017 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM APPLICATION TO POWER SYSTEMS (ISAP), 2017,
  • [38] Power System Dynamic State Estimation Based on a New Particle Filter
    Chen Huanyuan
    Liu Xindong
    She Caiqi
    Yao Cheng
    2011 2ND INTERNATIONAL CONFERENCE ON CHALLENGES IN ENVIRONMENTAL SCIENCE AND COMPUTER ENGINEERING (CESCE 2011), VOL 11, PT B, 2011, 11 : 655 - 661
  • [39] POWER-SYSTEM DYNAMIC STATE ESTIMATION ON BASIS OF NOMINAL PATH
    YOKOYAMA, R
    KISHIDA, T
    TAMURA, Y
    ELECTRICAL ENGINEERING IN JAPAN, 1974, 94 (03) : 80 - 87
  • [40] Power system dynamic state estimation with mixed measurements based on UKF
    Li, Dalu
    Li, Rui
    Sun, Yuanzhang
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2010, 34 (17): : 17 - 21