Transient Stability Assessment in Power System using Critical Machine Identification

被引：0
|
作者：
Yurika [1 ]
Suwarno [1 ]
Sianipar, Gibson H. M. [1 ]
Naiborhu, Janson [2 ]
机构：
[1] Inst Teknol Bandung, Sch Elect Engn & Informat, Bandung, Indonesia
[2] Inst Teknol Bandung, Fac Math & Nat Sci, Bandung, Indonesia
来源：
PROCEEDING OF 2019 INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATICS (ICEEI) | 2019年
关键词：
transient stability; disturbance; critical machine;
D O I：
10.1109/iceei47359.2019.8988906
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Stability of the power system is the ability of the system to return to normal operation after the system is subject to a disturbance. When a disturbance occurs, the power system must be able to maintain stable conditions. In this paper, analysis of critical machine identification is needed as an alternative to determine the transient stability of power system. The behavior of critical machines determines the stability of power system. For 9 buses and 3 machines, the critical machine of the system will vary depending on the location of the disturbance. Critical machine identification can be determined from the calculation of clearing time. If the fault is cleared before clearing time, the system remains stable so critical machine can be minimized.
引用
收藏
页码：586 / 589
页数：4
相关论文
共 50 条
  • [41] POWER SYSTEM TRANSIENT STABILITY IMPROVEMENT USING SERIES FACTS DEVICES
    Constantin, Costel
    Eremia, Mircea
    Bulac, Constantin
    UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE, 2015, 77 (03): : 259 - 268
  • [42] An analysis of power system transient stability using stochastic energy functions
    Odun-Ayo, Theresa
    Crow, Mariesa L.
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2013, 23 (02): : 151 - 165
  • [43] Improvement in power system transient stability by using STATCOM and neural networks
    A. Karami
    K. Mahmoodi Galougahi
    Electrical Engineering, 2019, 101 : 19 - 33
  • [44] Identification of critical cluster in transient stability study using line potential energy method
    Yuan, W. P.
    Chan, K. W.
    Zhang, Y.
    2006 POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-9, 2006, : 760 - +
  • [45] Application of Multi-Agents System in Multi-Machine Power System Transient Stability and Control
    Benseddik, A.
    Hasni, M.
    Menaa, M.
    Boussahoua, B.
    Gueddouche, R.
    Boudour, M.
    2013 3D INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC), 2013,
  • [46] Transient Stability Assessment Using Individual Machine Equal Area criterion Part II: Stability Margin
    Wang, Songyan
    Yu, Jilai
    Zhang, Wei
    IEEE ACCESS, 2018, 6 : 38693 - 38705
  • [47] Identification of Critical Issues in Angle, Voltage, and Frequency Stability of the Nepal Power System
    Shrestha, Rashna
    Parajuli, Amrit
    Basukala, Manisha
    Gurung, Samundra
    IEEE ACCESS, 2024, 12 : 104380 - 104390
  • [48] Power System Transient Stability Due to Various Contingency Using Power World Simulator
    Salim, Nur Ashida
    Mohamed, Hasmaini
    Bin Ensnat, Mohd Endra Shafiq
    Yasin, Zuhaila Mat
    2023 IEEE 3RD INTERNATIONAL CONFERENCE IN POWER ENGINEERING APPLICATIONS, ICPEA, 2023, : 279 - 284
  • [49] Transient Stability Assessment of Large-Scale Power System Using Predictive Maximal Lyapunov Exponent Approach
    Zong, Qihang
    Yao, Wei
    Zhou, Hongyu
    Zhao, Haiyu
    Wen, Jinyu
    Cheng, Shijie
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2024, 39 (03) : 5163 - 5176
  • [50] Real-time Transient Stability Assessment of Electric Power Systems using Predictive-SIME based on Machine Learning
    Echeverria J, Diego E.
    Cepeda C, Jaime C.
    Graciela Colome, D.
    2017 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE - LATIN AMERICA (ISGT LATIN AMERICA), 2017,
12345