Optimal Design and Comparative Analysis of FOPID Controller for Three Area LFC Tuned Using EHO and GCMBO Algorithms

D. K. Sambariya¹ and Omesh Nagar^1,

¹Department of Electrical Engineering, Kota, India

Cite this paper:
D. K. Sambariya and Omesh Nagar. Optimal Design and Comparative Analysis of FOPID Controller for Three Area LFC Tuned Using EHO and GCMBO Algorithms. International Transaction of Electrical and Computer Engineers System. 2018; 5(1):6-14. doi: 10.12691/iteces-5-1-2

Abstract

In this paper, signified a novel method to strategy of FOPID controller for LFC of a three area generating units. In this system, LFC of generating units of power plants has been used in frequency control due to having the better responses. The EHO and GCMBO are also considered using the parameters of FOPID controllers as a minimization of error in this optimization technique. The Integral Squared Error (ISE) is the objective function for optimum strategy of FOPID parameters of the EHO and GCMBO technique. Its gives the better dynamic response as compared the other FOPID controller parameters. The modal of generating units power plant with FOPID controller is simulated in MATLAB/SIMULINK platform. In this study, simulation explorations on a three-area LFC with different generating units. The effectiveness of the proposed methodology is better in terms of settling time, rise time, and peak time. The perturbation in load, change the system frequency which further increase the Undershoot of the system here, the undershoot of the system is decrease for EHO and GCMBO technique is used to tuned the parametric value of FOPID controller.

Keywords:
Proportional integral derivative controller (PID) Fractional order PID controller (FOPID) Load frequency control (LFC)

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]	S. Das, I. Pan, and S. Das, “Multi-objective LQR with optimum weight selection to design FOPID controllers for delayed fractional order processes,” ISA transactions, vol. 58, pp. 35-49, 2015.
[2]	S. A. Taher, M. H. Fini, and S. F. Aliabadi, “Fractional order PID controller design for LFC in electric power systems using imperialist competitive algorithm,” Ain Shams Engineering Journal, vol. 5, pp. 121-135, 2014.
[3]	S. Debbarma and A. Dutta, “Utilizing electric vehicles for LFC in restructured power systems using fractional order controller,” IEEE Transactions on Smart Grid, 2016.
[4]	D. Sambariya and R. Fagna, “A novel Elephant Herding Optimization based PID controller design for Load frequency control in power system,” in Computer, Communications and Electronics (Comptelix), 2017 International Conference on, 2017, pp. 595-600.
[5]	D. Sambariya and R. Fagna, “A robust PID controller for load frequency control of single area re-heat thermal power plant using elephant herding optimization techniques,” in Information, Communication, Instrumentation and Control (ICICIC), 2017 International Conference on, 2017, pp. 1-6.
[6]	J. Deo and U. Prasad, “Comparative Analysis of Integer Order and Fractional Order PID Controllers For LFC In Two Area Interconnected System,” INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY, vol. Volume 3 Issue 5, pp. 294-299, 2016.
[7]	H. Shayanfar, H. Shayeghi, and A. Molaee, “Multi-Source Power System LFC Using the Fractional Order PID Controller Based on SSO Algorithm Including Redox Flow Batteries and SMES,” in Proceedings on the International Conference on Artificial Intelligence (ICAI), 2016, p. 300.
[8]	N. Bayati, A. Dadkhah, B. Vahidi, and S. H. H. Sadeghi, “FOPID Design for Load-Frequency Control Using Genetic Algorithm,” Science International, vol. 27, 2015.
[9]	J. Kaliannan, A. Baskaran, N. Dey, and A. Ashour, “Ant colony optimization algorithm based PID controller for LFC of single area power system with non-linearity and boiler dynamics,” World J. Model. Simul, vol. 12, pp. 3-14, 2016.
[10]	I. Pan and S. Das, “Frequency domain design of fractional order PID controller for AVR system using chaotic multi-objective optimization,” International Journal of Electrical Power & Energy Systems, vol. 51, pp. 106-118, 2013.
[11]	S. B. Chiranjeevi, “Implementation of fractional order PID controller for an AVR system using GA and ACO optimization techniques,” IFAC-PapersOnLine, vol. 49, pp. 456-461, 2016.
[12]	H. Shayeghi, A. Molaee, K. Valipour, and A. Ghasemi, “Multi-source power system FOPID based Load Frequency Control with high-penetration of Distributed Generations,” in Electrical Power Distribution Networks Conference (EPDC), 2016 21st Conference on, 2016, pp. 131-136.
[13]	R. Gupta and S. Gairola, “FOPID controller optimization employing PSO and TRSBF function,” in Recent Advances in Engineering & Computational Sciences (RAECS), 2015 2nd International Conference on, 2015, pp. 1-6.
[14]	S. Sondhi and Y. V. Hote, “Fractional order PID controller for load frequency control,” Energy Conversion and Management, vol. 85, pp. 343-353, 2014.
[15]	A. Delassi, S. Arif, and L. Mokrani, “Load frequency control problem in interconnected power systems using robust fractional PI λ D controller,” Ain Shams Engineering Journal, 2015.
[16]	M. I. Alomoush, “Load frequency control and automatic generation control using fractional-order controllers,” Electrical Engineering (Archiv fur Elektrotechnik), vol. 91, pp. 357-368, 2010.
[17]	Y. Chen and D. P. Atherton, Linear feedback control: analysis and design with MATLAB vol. 14: Siam, 2007.
[18]	M. E.-S. M. Essa, M. A. Aboelela, and M. A. Hassan, “A comparative study between ordinary and fractional order pid controllers for modelling and control of an industrial system based on Genetic Algorithm,” in Modern Circuits and Systems Technologies (MOCAST), 2017 6th International Conference on, 2017, pp. 1-4.
[19]	V. Ganesh, K. Vasu, and P. Bhavana, “LQR based load frequency controller for two area power system,” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. 1, 2012.
[20]	D. D. Sambariya and R. Fagna, Load Frequency Control of Multi-Area Hydro Thermal Power System Using Elephant Herding Optimization Technique vol. 5, 2017.
[21]	G.-G. Wang, S. Deb, X. Zhao, and Z. Cui, “A new monarch butterfly optimization with an improved crossover operator,” Operational Research, pp. 1-25, 2016.
[22]	G.-G. Wang, X. Zhao, and S. Deb, “A novel monarch butterfly optimization with greedy strategy and self-adaptive,” in Soft Computing and Machine Intelligence (ISCMI), 2015 Second International Conference on, 2015, pp. 45-50.
[23]	H. Faris, I. Aljarah, and S. Mirjalili, “Improved monarch butterfly optimization for unconstrained global search and neural network training,” Applied Intelligence, vol. 48, pp. 445-464, 2018.
[24]	D. Sambariya and R. Prasad, “Design of harmony search algorithm based tuned fuzzy logic power system stabilizer,” International Review of Electrical Engineering (IREE), vol. 8, pp. 1594-1607, 2013.