Application of BFOA in Two Area Load Frequency Control

  • Authors

    • P Sri Krishna Sarath
    • I Swetha Monica
    2018-08-24
    https://doi.org/10.14419/ijet.v7i3.31.18200
  • Bacterial foraging optimization algorithm (BFOA), load frequency controller (LFC), Area control error (ACE),
  • This paper   presents Bacterial foraging optimization algorithm which is based on food searching process of Escherichia coli bacteria, which is gaining popularity due to its effectiveness and providing solution to real world optimization problems .BFOA is applied to control the parameter optimization of load frequency controller for tuning the parameters of the proportional integral and derivative controller. A simple two area system with thermal-thermal generating units is considered for simulation study which is controlled with PID controller. The main objective of this work is to design the controller by minimizing objective function .simulation studies demonstrate that our proposed controller is effective and transients are suppressed predominantly

     

     

  • References

    1. [1] Kundur P., Power system stability and control. McGraw-Hill; 1994.

      [2] Yang T.C., Cimen H., Zhu Q.M., “Decentralized load frequency controller design based on structured singular valuesâ€, IEEE Proc-Gener, Trans Distrib., 145, 1, ( 1998) 7–14.

      [3] Rerkpreedapong D., Hasanovic A., Feliachi A. “Robust load frequency control using genetic algorithms and linear matrix inequalitiesâ€, IEEE Trans Power Syst., 18, (2003) 855–861.

      [4] Zribi M., Al-Rashed M., Alrifai M., “Adaptive decentralized load frequency control of multi area power systemsâ€, Int J. Electr Power Energy Sys., 27, 8, (2005) 575–583.

      [5] Çam E., Kocaarslan I., “Fuzzy logic controller in interconnected electrical power systems for load frequency controlâ€, Int. J. Electr. Power Energy Syst., 27, 8, (2005), 542-549.

      [6] Pothiya S., Ngamroo I., Runggeratigul S., Tantaswadi P., “Design of optimal fuzzy logic based PI controller using multiple tabu search algorithm for load frequency control†Int. J. Contr. Auto. Syst. 4, 2, (2006), 155–164.

      [7] Taher S., Hematti R., Abdolalipour A., Tabei S. H., “Optimal decentralized load frequency control using HPSO algorithms in deregulated power systemsâ€, Am. J. Appl. Sci., 5, 9, ( 2008), 1167–1174.

      [8] Shayeghi H., Jalili A., Shayanfar H.A., “Multi stage fuzzy load frequency control using PSOâ€, Int. J. Energy Conver Manage, 49, 10 (2008), 2570–2580.

      [9] Sabahi K., Sharifi A., Aliyari M., Teshnehlab M., Aliasghary M., “Load frequency controller in interconnected power system using multi objective PID controllerâ€, J. Appl. Sci. 8, 20, (2008), 3676–3682.

      [10] Panda G., Panda S., Ardil C., “Automatic generation control of interconnected power system with generation rate constraints by hybrid neuro fuzzy approachâ€, Int. J. Electr. Power Energy Syst Eng 2, 1, (2009),13–18.

      [11] Ramesh S., Krishnan A., “Modified genetic algorithm based load frequency controller for interconnected power systemâ€, Int. J. Electr. Power Eng. 3,1, (2009), 26–30.

      [12] Aravindan P., Sanavullah M.Y., “Fuzzy logic based automatic frequency control of two area power system with GRC†Int. J. Comput. Intell Res., 5, 1, (2009), 37–44.

      [13] Ford J.J., Bevrani H., Ledwich G., “Adaptive load shedding and regional protectionâ€, Int. J. Electr. Power Energy Syst., 31, 10, (2009), 611–618.

      [14] Roy R., Bhatt P., Ghoshal S.P., “Evolutionary computation based three area automatic generation controlâ€, Int. J. Electr. Power Energy Syst., 37, 8, (2010), 5913-5924.

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  • How to Cite

    Sri Krishna Sarath, P., & Swetha Monica, I. (2018). Application of BFOA in Two Area Load Frequency Control. International Journal of Engineering & Technology, 7(3.31), 50-54. https://doi.org/10.14419/ijet.v7i3.31.18200