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Optimal Location of TCSC Using Opposition Teaching Learning Based Optimization

Author

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  • Pranabesh Mukhopadhyay

    (Department of Electrical Engineering, Dr. B. C. Roy Engineering College, Durgapur, India)

  • Susanta Dutta

    (Department of Electrical Engineering, Dr. B. C. Roy Engineering College, Durgapur, India)

  • Provas Kumar Roy

    (Department of Electrical Engineering, Dr. B. C. Roy Engineering College, Durgapur, India)

Abstract

This paper focuses on the optimal power flow solution and the enhancement of the performance of a power system network. The paper presents a secured optimal power flow solution by integrating Thyristor controlled series compensator (TCSC) with the optimization model developed under overload condition. The Teaching Learning Based Optimization (TLBO) has been implemented here. Recently, the opposition-based learning (OBL) technique has been applied in various conventional population based techniques to improve the convergence performance and get better simulation results. In this paper, opposition-based learning (OBL) has been integrated with teaching learning based optimization (TLBO) to form the opposition teaching learning based optimization (OTLBO). Flexible AC Transmission System (FACTS) devices such as Thyristor controlled series compensator (TCSC) can be very effective for power system security. Numerical results on test systems IEEE 30-Bus with valve point effect is presented and compared with results of other competitive global approaches. The results show that the proposed approach can converge to the optimum solution and obtains the solution with high accuracy.

Suggested Citation

  • Pranabesh Mukhopadhyay & Susanta Dutta & Provas Kumar Roy, 2015. "Optimal Location of TCSC Using Opposition Teaching Learning Based Optimization," International Journal of Energy Optimization and Engineering (IJEOE), IGI Global, vol. 4(1), pages 85-101, January.
    • Handle: RePEc:igg:jeoe00:v:4:y:2015:i:1:p:85-101
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    Cited by:

    1. Jordehi, A. Rezaee, 2015. "Particle swarm optimisation (PSO) for allocation of FACTS devices in electric transmission systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1260-1267.

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