Voltage stability online evaluation system based on WAMS and EMS

被引:0
|
作者
Liu, Daowei [1 ]
Song, Dunwen [1 ]
Wang, Hongyin [2 ]
Zhang, Yiming [2 ]
Sun, Jianhua [2 ]
Chen, Jun [2 ]
Xiong, Haoqing [2 ]
Wei, Shiquan [1 ]
Xiong, Xuanwen [1 ]
Yang, Xuetao [1 ]
Zhang, Haishun [1 ]
机构
[1] China Electric Power Research Institute, Haidian District, Beijing 100192, China
[2] State Grid Henan Electric Power Company, Zhengzhou 450052, Henan Province, China
来源
关键词
Electric network parameters - Electric power system measurement - Power quality - System stability;
D O I
10.13335/j.1000-3673.pst.2014.07.033
中图分类号
学科分类号
摘要
The framework structure, function modulus and engineering applications of online voltage stability assessment system based on WAMS and EMS are presented. According to the overall information including network structure, parameters and static measurement information of EMS, Thevenin equivalent parameters of each node based on electric network model are calculated. With the equivalent parameters as initial value, trajectory information of each PMU installed in the load node is used to track and identify the Thevenin equivalent parameters, and to calculate the impedance modulus index. Area type indicators are constructed to facilitate the quantitative assessment of transient voltage stability acceptability, and then the online static or transient voltage stability assessment on WAMS can be realized. The system makes full use of the advantages of speed, accuracy, synchronization of WAMS and the comprehensive information of EMS. The application of this system in Henan electric power system reflects its good engineering use value.
引用
收藏
页码:1934 / 1938
相关论文
共 50 条
  • [41] Voltage stability based on the implementation of a coordinate secondary voltage control system
    Abou Daher, Nivine
    Mougharbel, Imad
    Saad, Maarouf
    Kanaan, Hadi Y.
    2016 3RD INTERNATIONAL CONFERENCE ON RENEWABLE ENERGIES FOR DEVELOPING COUNTRIES (REDEC), 2016,
  • [42] Design and Development of Generators-Power Grid Dynamic Performance Online Monitoring System Based on WAMS data
    Shi, Xiu-ping
    Tang, Wei
    Pu, Jun
    Huang, Yuan-chao
    Fan, Xin-qiao
    Zhang, Wen-chao
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING, MATERIALS AND ENERGY (5TH ICMEME2016), 2016, 90 : 6 - 11
  • [43] Artificial neural network based voltage stability evaluation
    Modi, PK
    Singh, SP
    Sharma, J
    Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, Vols 1and 2, 2004, : 888 - 893
  • [44] Research on the anti-grade trip system in coal mine high-voltage grid based on WAMS
    Wang, Z. J.
    Wang, Y. W.
    INFORMATION TECHNOLOGY AND COMPUTER APPLICATION ENGINEERING, 2014, : 695 - 697
  • [45] A real-time monitoring method for power system steady state angle stability based on WAMS
    Yuan, Yue
    Ju, Ping
    Li, Qiang
    Wang, Yongzhi
    Hu, Hongbo
    Sasaki, Hiroshi
    IPEC: 2005 International Power Engineering Conference, Vols 1 and 2, 2005, : 761 - 764
  • [46] A Sectionalizing Method in Power System Restoration Based on WAMS
    Sarmadi, S. Arash Nezam
    Dobakhshari, Ahmad Salehi
    Azizi, Sadegh
    Ranjbar, Ali Mohammad
    IEEE TRANSACTIONS ON SMART GRID, 2011, 2 (01) : 190 - 197
  • [47] Evaluation of Power System Stability using Voltage Proximity Index
    Chaithra, A.
    Modi, Sangeeta
    2018 INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN ELECTRICAL, ELECTRONICS & COMMUNICATION ENGINEERING (ICRIEECE 2018), 2018, : 1537 - 1540
  • [48] A voltage stability evaluation method for electrical system with load uncertainty
    Dai, Weihua
    Xiong, Ning
    2008 THIRD INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES, VOLS 1-6, 2008, : 755 - 758
  • [49] Voltage stability considerations in composite power system reliability evaluation
    Univ of Saskatchewan, Saskatoon, Canada
    IEEE Trans Power Syst, 2 (655-660):
  • [50] Online Evaluation Method for Low Frequency Oscillation Stability in a Power System Based on Improved XGboost
    Hu, Wenping
    Liang, Jifeng
    Jin, Yitao
    Wu, Fuzhang
    Wang, Xiaowei
    Chen, Ersong
    ENERGIES, 2018, 11 (11)