GWO tuned multi degree of freedom PID controller for load frequency control

  • Authors

    • Nimai Charan Patel
    • Manoj Kumar Debnath
    • Durgesh Prasad Bagarty
    • Pranati Das
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.14831
  • Keywords, Hydrothermal System, Grey Wolf Optimization, Load Frequency Control, Multi Degree Freedom of Proportional-Integral-Derivative Controller.

  • In order to enhance the control action, in this article multi degree of freedom PID controllers (MDFPID) like 2DOF-PID and 3DOF-PID controllers are suggested for frequency control in a multi-unit hydro-thermal interconnected system. The finest gains of the recommended MDFPID controllers are achieved with Grey Wolf Optimization (GWO) Technique considering a time based evaluative function. The dom-inating performance of the suggested control technique is validated by relating the outcomes with a pre-published journal results. The robust behavior of the MDFPID controller is also validated by abruptly amplifying the loading of the system. The system dynamic responses are analyzed in consideration with time response parameters like minimum undershoots, settling time and peak overshoots.

     

     

  • References

    1. [1] P. Kundur, Power System Stability and Control, McGraw-Hill, 1994.

      [2] O. I. Elgerd and C. Fosha, “Optimum megawatt frequency control of multi-area electric energy systemsâ€, IEEE Transactions on Power Apparatus and Systems 89 (4) (1970) 556–563

      [3] M. Farahani, S. Ganjefar, M. Alizadeh, “PID controller adjustment using chaotic optimisation algorithm for multi-area load frequency controlâ€, IET Control Theory and Applications, 6 (13) (2012) 1984-1992

      [4] K. R. Mudi, R. N. Pal, “A robust self-tuning scheme for PI-and PID type fuzzy controllersâ€, IEEE Transactions on fuzzy systems, 7 (1) (1999) 2-16.

      [5] K. P. Singh Parmar, S. Majhi, D. P. Kothari, “Load frequency control of a realistic power system with multi-source power generationâ€, Electrical Power and Energy Systems, 42 (1) (2012) 426-433.

      [6] U. K. Rout, et al. “Design and analysis of differential evolution algorithm based automatic generation control for interconnected power systemâ€, Ain Shams Engineering Journal, 4 (3) (2013) 409-421.

      [7] C. F. Juang & C. F. Lu, “Load-frequency control by hybrid evolutionary fuzzy PI controllerâ€, IEE Proceedings: Generation, Transmission and Distribution, 153 (2) (2006) 186-204.

      [8] Nanda, Janardan, Ashish Mangla, and Sanjay Suri. "Some new findings on automatic generation control of an interconnected hydrothermal system with conventional controllers." IEEE Transactions on energy conversion 21.1 (2006): 187-194.

      [9] Padhan, Saroj, Rabindra Kumar Sahu, and Sidhartha Panda. "Application of firefly algorithm for load frequency control of multi-area interconnected power system." Electric power components and systems 42.13 (2014): 1419-1430.

      [10] Sahu, Rabindra Kumar, Sidhartha Panda, and Saroj Padhan. "A hybrid firefly algorithm and pattern search technique for automatic generation control of multi area power systems." International Journal of Electrical Power & Energy Systems 64 (2015): 9-23.

      [11] Rabindra Kumar Sahu et al. "Automatic generation control of multi-area power systems with diverse energy sources using teaching learning based optimization algorithm." Engineering Science and Technology, an International Journal 19.1 (2016): 113-134.

      [12] Pradeep Kumar Mohanty, et al. "Design and analysis of fuzzy PID controller with derivative filter for AGC in multi-area interconnected power system." IET Generation, Transmission & Distribution 10.15 (2016): 3764-3776.

      [13] Guha, Dipayan, Provas Kumar Roy, and Subrata Banerjee. "Load frequency control of interconnected power system using grey wolf optimization." Swarm and Evolutionary Computation27 (2016): 97-115.

      [14] Padhy, Sasmita, and Sidhartha Panda. "A hybrid stochastic fractal search and pattern search technique based cascade PI-PD controller for automatic generation control of multi-source power systems in presence of plug in electric vehicles." CAAI Transactions on Intelligence Technology 2.1 (2017): 12-25.

      [15] Kumar, LV Suresh, GV Nagesh Kumar, and Sreedhar Madichetty. "Pattern search algorithm based automatic online parameter estimation for AGC with effects of wind power." International Journal of Electrical Power & Energy Systems 84 (2017): 135-142.

      [16] Jagatheesan, K., et al. "Application of flower pollination algorithm in load frequency control of multi-area interconnected power system with nonlinearity." Neural Computing and Applications 28.1 (2017): 475-488.

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  • How to Cite

    Charan Patel, N., Kumar Debnath, M., Prasad Bagarty, D., & Das, P. (2018). GWO tuned multi degree of freedom PID controller for load frequency control. International Journal of Engineering & Technology, 7(2.33), 548-552. https://doi.org/10.14419/ijet.v7i2.33.14831