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Modeling and Simulating Long-Timescale Cascading Faults in Power Systems Caused by Line-Galloping Events

Author

Listed:
  • Lizheng Chen

    (Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education, Shandong University, Jinan 250061, China)

  • Hengxu Zhang

    (Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education, Shandong University, Jinan 250061, China)

  • Changgang Li

    (Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education, Shandong University, Jinan 250061, China)

  • Huadong Sun

    (China Electric Power Research Institute, Haidian District, Beijing 100192, China)

Abstract

With the increasing occurrence of extreme weather events, the short circuit and line-breaking faults in transmission lines caused by line galloping have been threatening the security operation of power systems. These faults are also hard to be simulated with current simulation tools. A numerical simulation approach of power systems is presented to simulate the clustered, cascading faults of long-timescale caused by line-galloping events. A simulation framework is constructed in which large numbers of fault scenarios are simulated to reflect the randomness of line galloping. The interaction mechanism between power system operation states and line galloping processes is revealed and simulated by the solution of differences of timescales and parameters. Based on Power System Simulator/Engineering (PSS/E), an extended software package for line galloping simulation is developed with Python, which extends the functionalities of the PSS/E in power system simulation. An example is given to demonstrate the feasibility of the proposed simulation method.

Suggested Citation

  • Lizheng Chen & Hengxu Zhang & Changgang Li & Huadong Sun, 2017. "Modeling and Simulating Long-Timescale Cascading Faults in Power Systems Caused by Line-Galloping Events," Energies, MDPI, vol. 10(9), pages 1-16, August.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1301-:d:110276
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