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Parametric Sensitivity Analysis of Rotor Angle Stability Indicators

Author

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  • Ashish Shrestha

    (Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, N-3918 Porsgrunn, Norway)

  • Francisco Gonzalez-Longatt

    (Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, N-3918 Porsgrunn, Norway)

Abstract

With the increasing penetration rate of Power Electronic Converter (PEC) based technologies, the electrical power systems are facing the problem of transient stability since the PEC based technologies do not contribute to the system inertia, and the proportion of synchronous generators (i.e., the source of inertia) is in decreasing rate. In addition, PEC based technologies’ components have poor inherent damping. It is very important to analyze the system characteristics of a power system to minimize the potential instabilities during the contingencies. This paper presents the parametric sensitivity analysis of the rotor angle stability indicators for the 39-bus New England power system. The indicators of rotor angle stability analysis such as critical fault clearing time (CCT), Eigenvalue points, damping ratio, frequency deviation, voltage deviation, and generator’s speed deviation are identified and analyzed for three case scenarios; each scenario has six sub-cases with different inertia constants. The results show that the CCTs for each component will be reduced if the inertia reduces at any section of a multi-machine power system. Although the applied three scenarios with six sub-cases are identified to be stable in this analysis, the decreasing inertia constant has significant impact on the power system dynamics.

Suggested Citation

  • Ashish Shrestha & Francisco Gonzalez-Longatt, 2021. "Parametric Sensitivity Analysis of Rotor Angle Stability Indicators," Energies, MDPI, vol. 14(16), pages 1-13, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:5023-:d:615352
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    References listed on IDEAS

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    1. Ashish Shrestha & Bishal Ghimire & Francisco Gonzalez-Longatt, 2021. "A Bayesian Model to Forecast the Time Series Kinetic Energy Data for a Power System," Energies, MDPI, vol. 14(11), pages 1-15, June.
    2. Ashish Shrestha & Francisco Gonzalez-Longatt, 2021. "Frequency Stability Issues and Research Opportunities in Converter Dominated Power System," Energies, MDPI, vol. 14(14), pages 1-28, July.
    3. Thongchart Kerdphol & Fathin Saifur Rahman & Yasunori Mitani, 2018. "Virtual Inertia Control Application to Enhance Frequency Stability of Interconnected Power Systems with High Renewable Energy Penetration," Energies, MDPI, vol. 11(4), pages 1-16, April.
    4. Arcadio Perilla & Stelios Papadakis & Jose Luis Rueda Torres & Mart van der Meijden & Peter Palensky & Francisco Gonzalez-Longatt, 2020. "Transient Stability Performance of Power Systems with High Share of Wind Generators Equipped with Power-Angle Modulation Controllers or Fast Local Voltage Controllers," Energies, MDPI, vol. 13(16), pages 1-17, August.
    5. Wang, Yunqi & Ravishankar, Jayashri & Phung, Toan, 2016. "A study on critical clearing time (CCT) of micro-grids under fault conditions," Renewable Energy, Elsevier, vol. 95(C), pages 381-395.
    6. Tielens, Pieter & Van Hertem, Dirk, 2016. "The relevance of inertia in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 999-1009.
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    1. Tanus Bikram Malla & Abhinav Bhattarai & Amrit Parajuli & Ashish Shrestha & Bhupendra Bimal Chhetri & Kamal Chapagain, 2022. "Status, Challenges and Future Directions of Blockchain Technology in Power System: A State of Art Review," Energies, MDPI, vol. 15(22), pages 1-26, November.

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