• DocumentCode
    2196507
  • Title

    Optimal power flow with IPM-APSO based hybrid method using FACTS devices for contingency surveillance

  • Author

    Padmanabha Raju, Ch. ; Kumar, C. ; Lavanya, K.S.L

  • Author_Institution
    Electrical and Electronics Engg., Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada, India
  • fYear
    2015
  • fDate
    24-25 Jan. 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents an Interior point method (IPM) and Adaptive particle swarm optimization (APSO) based hybrid method to solve the contingency constrained optimal power flow (OPF) in power systems incorporated with Flexible AC Transmission Systems (FACTS). Versatile FACTS devices TCPS (Thyristor controlled phase shifter) and Static Synchronous Series Compensator (SSSC) are considered. In the solution process APSO coupled with IPM to keep the power flows within their security limits. This Hybrid OPF algorithm with FACTS effectively relieves line flow violations under different single line contingencies. Severity Index is used as an objective function to be minimized to improve the security of the power system. The efficiency of proposed algorithm is illustrated by carrying simulation studies on IEEE 30 bus system. This analysis reveals that the proposed algorithm is quite simple and efficient for solving OPF problem.
  • Keywords
    Indexes; Load flow; Mathematical model; Phase shifters; Security; Sociology; Adaptive Particle Swarm Optimization (APSO); Contingency; Flexible AC Transmission Systems (FACTS); Interior Point Method (IPM) and Severity Index; Power system security; Static Synchronous Series Compensator (SSSC); Thyristor Controlled Phase Shifter (TCPS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
  • Conference_Location
    Visakhapatnam, India
  • Print_ISBN
    978-1-4799-7676-8
  • Type

    conf

  • DOI
    10.1109/EESCO.2015.7253894
  • Filename
    7253894