PSS with SVC Damping Controllers Coordinated Design and Real-Time Implementation in Multi-Machine Power System Using Advanced Adaptive PSO

Rajendraprasad Narne 1  and P.C. Panda 1
  • 1 Department of Electrical Engineering, National Institute of Technology Rourkela, Rourkela, Orissa 769008, India
Rajendraprasad Narne and P.C. Panda

Abstract

This article proposed coordinated tuning and real-time implementation of power system stabilizer (PSS) with static var compensator (SVC) in multi-machine power system. The design of proposed coordinated damping controller is formulated as an optimization problem, and the controller gains are optimized instantaneously using advanced adaptive particle swarm optimization. Here, PSS with SVC installed in multi-machine system is examined. The coordinated tuning among the damping controllers is performed on the non-linear power system dynamic model. Finally, the proposed coordinated controller performance is discussed with time-domain simulations. Different loading conditions are employed on the test system to test the robustness of proposed coordinate controller, and the simulation results are compared with four different control schemes. To validate the proposed controller, the test power system is also implemented on real-time (OPAL-RT) simulator, and acceptable results are reported for its verifications.

  • 1.

    Kundur P. Power system stability and control. New York: McGraw-Hill, 1994.

  • 2.

    Anderson PM, Fouad AA. Power system control and stability. Piscataway, NJ: Wiley-Interscience, 2003.

  • 3.

    Hingorani G, Gyugyi L. Understanding FACTS-concepts and technology of flexible AC transmission systems. New York: IEEE Press, 2000.

    • Google Scholar
    • Export Citation
  • 4.

    Kennedy J, Eberhart R. Particle swarm optimization. IEEE Int Conf Neural Netw 1995;4:19428.

  • 5.

    Abido MA. Optimal design of power–system stabilizers using particle swarm optimization. IEEE Trans Energy Conversion 2002;17:40613.

    • Crossref
    • Google Scholar
    • Export Citation
  • 6.

    Shayeghi H, Shayanfar HA, Safari A, Aghmasheh R. A robust PSSs design using PSO in a multi-machine environment. Energy Conversion Manage 2010;51:696702.

    • Crossref
    • Google Scholar
    • Export Citation
  • 7.

    Abido MA. Analysis of power system stability enhancement via excitation and FACTS-based stabilizers. Electric Power Components Syst 2004;32:7591.

    • Crossref
    • Google Scholar
    • Export Citation
  • 8.

    Panda S, Narayana Prasad P. Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design. Appl Soft Comput 2008;8:141827.

    • Crossref
    • Google Scholar
    • Export Citation
  • 9.

    Lei X, Lerch EN, Povh D. Optimization and coordination of damping controls for improving system dynamic performance. IEEE Trans Power Syst 2001;16:47380.

    • Crossref
    • Google Scholar
    • Export Citation
  • 10.

    Shayeghi H, Shayanfar HA, Safari A. PSS and TCSC damping controller coordinated design using PSO in multi-machine power system. Energy Conversion Manage 2010;51:29307.

    • Crossref
    • Google Scholar
    • Export Citation
  • 11.

    Bian XY, Tse CT, Zhang JF, Wang KW. Coordinated design of probabilistic PSS and SVC damping controllers. Int J Electric Power Energy Syst 2011;33:44552.

    • Crossref
    • Google Scholar
    • Export Citation
  • 12.

    Abd-Elazim SM, Ali ES. Coordinated design of PSSs and SVC via bacteria foraging optimization algorithm in a multimachine power system. Int J Electric Power Energy Syst 2012;41:4452.

    • Crossref
    • Google Scholar
    • Export Citation
  • 13.

    Chaturvedi KT, Pandit M, Srivastava L. Self-organizing hierarchical particle swarm optimization for non-convex economic dispatch. IEEE Trans Power Syst 2008;23:107987.

    • Crossref
    • Google Scholar
    • Export Citation
  • 14.

    Shi Yu-hui, Eberhart RC. Empirical study of particle swarm optimization. In Proceedings of the IEEE International Congress Evolutionary Computation, 1999;3:10106.

    • Google Scholar
    • Export Citation
  • 15.

    Clerc M, Kennedy J. The particle swarm – explosion, stability, and convergence in a multidimensional complex space. IEEE Trans Evol Comput 2002;6:5873.

    • Crossref
    • Google Scholar
    • Export Citation
  • 16.

    Ratnaweera A, Halgamuge SK, Watson HC. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients. IEEE Trans Evol Comput 2004;8:24055.

    • Crossref
    • Google Scholar
    • Export Citation
  • 17.

    Panda S. Differential evolutionary algorithm for TCSC-based controller design. Simulation Model Pract Theory 2009;17:161834.

    • Crossref
    • Google Scholar
    • Export Citation
  • 18.

    Bélanger J, Lapointe V, Dufour C, Schoen L. eMEGAsim: An open high-performance distributed real-time power grid simulator. Architecture and specification. Presented at the International Conference on Power Systems (ICPS’07), Bangalore, India, 12–14 December 2007.

  • 19.

    RT-LAB Professional. Available at: http://www.opal-rt.com/product/rt-lab-professional

  • 20.

    Mikkili S, Panda AK. RTDS hardware implementation and simulation of 3-ph 4-wire SHAF for mitigation of current harmonics with p-q and I d-I q control strategies using fuzzy logic controller. Int J Emerg Electric Power Syst 2011;12:1–24.

    • Google Scholar
    • Export Citation
  • 21.

    Pai MA. Energy function analysis for power system stability. Norwell, MA: Kluwer, 1989.

  • 22.

    Haque MH. Best location of SVC to improve first swing stability limit of a power system. Electric Power Syst Res 2007;77:140209.

    • Crossref
    • Google Scholar
    • Export Citation
Purchase article
Get instant unlimited access to the article.
$42.00
Log in
Already have access? Please log in.


or
Log in with your institution

Journal + Issues

IJEEPS publishes significant research and scholarship related to latest and up-and-coming developments in power systems. The mandate of the journal is to assemble high quality papers from the recent research and development efforts in new technologies and techniques for generation, transmission, distribution and utilization of electric power.

Search