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Optimal location of SVC for improvement in voltage stability of a power system under normal and contingency condition

Author

Listed:
  • Pallavi Choudekar

    (Amity University)

  • S. K. Sinha

    (Amity University)

  • Anwar Siddiqui

    (Jamia Millia Islamia)

Abstract

Voltage instability is a major problem in power system it seldom results in voltage collapse and blackout. FACTS devices can be used to maintain voltage stability by controlling active and reactive power and increase voltage stability margin. Optimal location of these devices is also an important issue. In this paper static var compensator (SVC) is used to improve voltage stability. Optimal location of SVC is found by continuation power flow and by finding fast voltage stability index. SVC is placed at optimal location and its effect on improving voltage stability, loadability limit and reducing power losses have been studied under normal as well as contingency conditions. Two types of contingencies are considered, transmission line (N − 1) contingency and generator outage contingency. The proposed work is tested in IEEE 14 bus test system.

Suggested Citation

  • Pallavi Choudekar & S. K. Sinha & Anwar Siddiqui, 2017. "Optimal location of SVC for improvement in voltage stability of a power system under normal and contingency condition," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1312-1318, November.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:2:d:10.1007_s13198-017-0601-0
    DOI: 10.1007/s13198-017-0601-0
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    Cited by:

    1. Sharmistha Nandi & Sriparna Roy Ghatak & Parimal Acharjee & Fernando Lopes, 2023. "Non-Iterative, Unique, and Logical Formula-Based Technique to Determine Maximum Load Multiplier and Practical Load Multiplier for Both Transmission and Distribution Systems," Energies, MDPI, vol. 16(12), pages 1-19, June.
    2. Tawfik Guesmi & Badr M. Alshammari & Yasser Almalaq & Ayoob Alateeq & Khalid Alqunun, 2021. "New Coordinated Tuning of SVC and PSSs in Multimachine Power System Using Coyote Optimization Algorithm," Sustainability, MDPI, vol. 13(6), pages 1-18, March.

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