Optimal Power Flow Control Using a Group Search Optimizer

  • Chao-Ming Huang
  • Chi-Jen Huang
  • Yann-Chang Huang
  • Kun-Yuan Huang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 293)


This paper proposes a group search optimizer (GSO) for optimal power flow (OPF) control based on a flexible AC transmission system (FACTS). FACTS has been successfully applied to steady-state control of power system, which determines the optimal location of FACTS devices and their associated values in the transmission lines. To solve the optimal solution of FACTS devices, a GSO inspired by animal searching behavior is used in this paper. GSO is a population-based optimization algorithm which has been successfully applied to deal with optimization problem. The proposed method is verified using the IEEE 30-bus 41-transmission system. The results demonstrate that the proposed method improves the total transfer capability and provides better steady-state control of power systems than existing methods.


Power flow Flexible AC transmission system Group search optimizer Optimization algorithm 



Financial supports from the National Science Council, Taiwan, R.O.C. under the Grant No. NSC 101-2221-E-168-045 are acknowledged.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Chao-Ming Huang
    • 1
  • Chi-Jen Huang
    • 1
  • Yann-Chang Huang
    • 2
  • Kun-Yuan Huang
    • 2
  1. 1.Department of Electrical EngineeringKun Shan UniversityTainan 710Taiwan, Republic of China
  2. 2.Department of Electrical EngineeringCheng Shiu UniversityKaohsiung 833Taiwan, Republic of China

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