Application of Group Hunting Search Optimized Cascade PD-Fractional Order PID Controller in Interconnected Thermal Power System

Jyoti Ranjan Nayak, Binod Shaw

Abstract


This paper is an endeavor to enhance the performance of the Automatic Generation Control (AGC) by adopting cascade PD-FOPID (Proportional Derivative - Fractional Order PID) controller in a two-area mutually connected thermal power plant with Generation Rate Constraint (GRC). The performance of the cascade PD-FOPID controller is validated by contrasting PID and FOPID controllers implemented in each area as AGC. The basic goal of the design of these controllers is to lessen the area control error (ACE) of corresponding area by conceding the frequency and tie-line power deviation. Group Hunting Search (GHS) algorithm is adopted to explore the gain parameters of the controllers to lessen the objective function (ITAE). A small step load transition of 0.01 p.u. is enforced in area-1 to investigate the controller performance. Cascade PD-FOPID controller optimized by GHS algorithm performs precisely better than PID and FOPID controller in the proposed system. 

Citation: Nayak, J. R., and Shaw, B. (2018). Application of Group Hunting Search Optimized Cascade PD-Fractional Order PID Controller in Interconnected Thermal Power System. Trends in Renewable Energy, 4, 22-33. DOI: 10.17737/tre.2018.4.3.0047



Keywords


Automatic Generation Control (AGC); Proportional-Integral-Derivative controller (PID); Fractional Order PID (FOPID); Group Hunting Search (GHS); Cascade PD-FOPID controller

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References


P. S. Kundur, N.J. Balu, M.G. Lauby, Power system stability and control. Vol. 7. 1994: McGraw-hill New York.

N. Cohn, “Some Aspects of Tie-Line Bias Control on Interconnected Power Systems,” AIEE Transactions, vol. 75, pp. 1415–1436, 1957.

A. Khodabakhshian, R. Hooshmand, “A new PID controller design for automatic generation control of hydro power systems,” Int. J. Electr. Power Energy Syst., vol. 32, no. 5, pp. 375–382, 2010.

H. Shabani, B. Vahidi, M. Ebrahimpour, “A robust PID controller based on imperialist competitive algorithm for load-frequency control of power systems,” ISA Trans., vol. 52, no. 1, pp. 88–95, 2013.

P. Dash, L. C. Saikia, N. Sinha, “Flower Pollination Algorithm Optimized PI-PD Cascade Controller in Automatic Generation Control of a Multi-area Power System,” Int. J. Electr. Power Energy Syst., vol. 82, pp. 19–28, 2016.

P. Dash, L. C. Saikia, N. Sinha, “Comparison of performances of several Cuckoo search algorithm based 2DOF controllers in AGC of multi-area thermal system,” Int. J. Electr. Power Energy Syst., vol. 55, pp. 429–436, 2014.

R. K. Sahu, S. Panda, U. K. Rout, D. K. Sahoo, “Teaching learning based optimization algorithm for automatic generation control of power system using 2-DOF PID controller,” Int. J. Electr. Power Energy Syst., vol. 77, pp. 287–301, 2016.

S. P. Ghoshal, “Optimizations of PID gains by particle swarm optimizations in fuzzy based automatic generation control,” Electr. Power Syst. Res., vol. 72, no. 3, pp. 203–212, 2004.

B.K. Sahu, T.K. Pati, J.R. Nayak, S. Panda, S.K. Kar, “A novel hybrid LUS-TLBO optimized fuzzy-PID controller for load frequency control of multi-source power system,” Int. J. Electr. Power Energy Syst., vol. 74, pp. 58–69, 2016.

B.K. Sahu, S. Pati, P.K. Mohanty, S. Panda, “Teaching-learning based optimization algorithm based fuzzy-PID controller for automatic generation control of multi-area power system,” Appl. Soft Comput. J., vol. 27, pp. 240–249, 2015.

J. R. Nayak, B. Shaw, “Load frequency control of hydro-thermal power system using fuzzy PID controller optimized by hybrid DECPSO algorithm,” IJPAM, vol. 114, no. I, pp. 3–6, 2017.

R.K. Sahu, S. Panda, G.T. Chandra Sekhar, “A novel hybrid PSO-PS optimized fuzzy PI controller for AGC in multi area interconnected power systems,” Int. J. Electr. Power Energy Syst., vol. 64, pp. 880–893, 2015.

D. Xue, Y.A. Chen, “Comparative Introduction of Four Fractional Order Controllers,” in Proceedings of the 4th World Congress on Intelligent Control and Automation, Shanghai, P.R. China, pp. 3228-3235, 10-14 June 2002. DOI: 10.1109/WCICA.2002.1020131

I. Pan, S. Das, “Fractional Order AGC for Distributed Energy Resources Using Robust Optimization,” IEEE Transactions on Smart Grid, vol. 7, no. 5, pp. 2175–2186, 2016.

V. H. Haji, C. A. Monje, “Fractional order fuzzy-PID control of a combined cycle power plant using Particle Swarm Optimization algorithm with an improved dynamic parameters selection,” Appl. Soft Comput., vol. 58, pp. 256–264, 2017.

A. Sikander, P. Thakur, R. C. Bansal, S. Rajasekar, “A novel technique to design cuckoo search based FOPID controller for AVR in power systems,” Comput. Electr. Eng., 2017. DOI: 10.1016/j.compeleceng.2017.07.005

J. Morsali, K. Zare, M.T. Hagh, “Comparative performance evaluation of fractional order controllers in LFC of two-area diverse-unit power system with considering GDB and GRC effects,” J. Electr. Syst. Inf. Technol., 2017. DOI: 10.1016/j.jesit.2017.05.002

P.N. Topno, S. Chanana, “Tilt Integral Derivative control for Two-area Load Frequency Control Problem,” In: Proc., 2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS), pp. 1-6, 2015. DOI: 10.1109/raecs.2015.7453361

M. Zamani, M. Karimi-Ghartemani, N. Sadati, M. Parniani, “Design of a fractional order PID controller for an AVR using particle swarm optimization,” Control Eng. Pract., vol. 17, no. 12, pp. 1380–1387, 2009.

R. Kumar Sahu, S. Panda, A. Biswal, G. T. Chandra Sekhar, “Design and analysis of tilt integral derivative controller with filter for load frequency control of multi-area interconnected power systems,” ISA Trans., vol. 61, pp. 251–264, 2016.

H. Senberber, A. Bagis, “Fractional PID controller design for fractional order systems using ABC algorithm,” In: Proc., 2017 Electronics, pp. 1-7, 2017. DOI: 10.1109/electronics.2017.7995218

R. Oftadeh, M.J. Mahjoob, M. Shariatpanahi, “A novel meta-heuristic optimization algorithm inspired by group hunting of animals: Hunting search,” Comput. Math. with Appl., vol. 60, no. 7, pp. 2087–2098, 2010.

Y. Oysal, “A comparative study of adaptive load frequency controller designs in a power system with dynamic neural network models,” Energy Convers. Manag., vol. 46, no. 15–16, pp. 2656–2668, 2005.

E. S. Ali, S. M. Abd-Elazim, “Electrical Power and Energy Systems BFOA based design of PID controller for two area Load Frequency Control with nonlinearities,” Int. J. Electr. Power Energy Syst., vol. 51, pp. 224–231, 2013.

B. Shaw, A. Banerjee, V. Mukherjee, S. P. Ghoshal, “Solution of Optimal Power Flow by an Opposition-Based Gravitational Search Algorithm”, Intelligent Computing and Applications, vol. 343, pp. 545–557, 2015.

B. Shaw, V. Mukherjee, S. P. Ghoshal, “Solution of reactive power dispatch of power systems by an opposition-based gravitational search algorithm,” Int. J. Electr. Power Energy Syst., vol. 55, pp. 29–40, 2014.

J. R. Nayak, B. Shaw, B. K. Sahu, “Application of adaptive-SOS (ASOS) algorithm based interval type-2 fuzzy-PID controller with derivative filter for automatic generation control of an interconnected power system,” Int. J. Engineering Science and Technology, 2018. DOI: 10.1016/j.jestch.2018.03.010

J.R. Nayak, B. Shaw, S. Das, B.K. Sahu, “Design of MI fuzzy PID controller optimized by Modified Group Hunting Search algorithm for interconnected power system,” Microsyst. Technol., 2018. DOI: 10.1007/s00542-018-3788-3




DOI: http://dx.doi.org/10.17737/tre.2018.4.3.0047

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