Global-Power-Flow-Based Transmission Contingency Analysis

  • Zhengshuo LiEmail author
Part of the Springer Theses book series (Springer Theses)


Transmission CA (TCA), a powerful function in EMS, is to help system operators maintain the security of a TPS. It simulates the post-contingency power flow of the TPS and activates alarms if operational limits of some components (e.g., bus voltage magnitude limits or line flow limits) are violated in a contingency.


Power Flow Equations Boundary Buses Static Load Characteristics Post-contingency State Slave Subsystem 
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  1. 1.
    Heydt GT (2010) The next generation of power distribution systems. IEEE Trans Smart Grid 1(3):225–235CrossRefGoogle Scholar
  2. 2.
    Sun HB, Zhang BM, Xiang ND (1996) Nonlinear error analysis and application of Ward-type equivalent. Autom Electric Power Syst 20(9):12–16 (in Chinese)Google Scholar
  3. 3.
    Wood AJ, Wollenberg BF (1996) Power generation, operation and control, 2nd edn. Wiley, New YorkGoogle Scholar
  4. 4.
    Civanlar S, Grainger JJ, Yin H et al (1988) Distribution feeder reconfiguration for loss reduction. IEEE Trans Power Del 3(3):1217–1223CrossRefGoogle Scholar
  5. 5.
    Wagner TP, Chikhani AY, Hackam R (1991) Feeder reconfiguration for loss reduction: An application of distribution automation. IEEE Trans Power Del 6(4):1922–1933CrossRefGoogle Scholar
  6. 6.
    Sun HB, Zhang BM (2008) Distributed power flow calculation for whole networks including transmission and distribution. IEEE PES transmission and distribution conference and exposition, Chicago, IL, pp 1–6Google Scholar
  7. 7.
    Zhang BM, Chen SS, Yan Z (2007) Advanced electric power network analysis, 2nd edn. Tsinghua University Press, Beijing (in Chinese)Google Scholar
  8. 8.
    Yang T, Sun HB, Bose A (2011) Transition to a two-level linear state estimator-part I: architecture. IEEE Trans Power Syst 26(1):46–53CrossRefGoogle Scholar

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© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Tsinghua-Berkeley Shenzhen InstituteTsinghua UniversityShenzhenChina

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