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University of Suceava
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Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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 HIGH-IMPACT PAPER 

Solution Approach to Automatic Generation Control Problem Using Hybridized Gravitational Search Algorithm Optimized PID and FOPID Controllers

DAHIYA, P. See more information about DAHIYA, P. on SCOPUS See more information about DAHIYA, P. on IEEExplore See more information about DAHIYA, P. on Web of Science, SHARMA, V. See more information about  SHARMA, V. on SCOPUS See more information about  SHARMA, V. on SCOPUS See more information about SHARMA, V. on Web of Science, NARESH, R. See more information about NARESH, R. on SCOPUS See more information about NARESH, R. on SCOPUS See more information about NARESH, R. on Web of Science
 
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Download PDF pdficon (1,083 KB) | Citation | Downloads: 862 | Views: 3,620

Author keywords
automatic generation control, disruption operator, fractional calculus, gravitational search algorithm, opposition based learning

References keywords
power(21), control(17), load(9), frequency(9), algorithm(9), generation(8), systems(7), automatic(7), system(6), search(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-05-31
Volume 15, Issue 2, Year 2015, On page(s): 23 - 34
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.02004
Web of Science Accession Number: 000356808900004
SCOPUS ID: 84979725893

Abstract
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This paper presents the application of hybrid opposition based disruption operator in gravitational search algorithm (DOGSA) to solve automatic generation control (AGC) problem of four area hydro-thermal-gas interconnected power system. The proposed DOGSA approach combines the advantages of opposition based learning which enhances the speed of convergence and disruption operator which has the ability to further explore and exploit the search space of standard gravitational search algorithm (GSA). The addition of these two concepts to GSA increases its flexibility for solving the complex optimization problems. This paper addresses the design and performance analysis of DOGSA based proportional integral derivative (PID) and fractional order proportional integral derivative (FOPID) controllers for automatic generation control problem. The proposed approaches are demonstrated by comparing the results with the standard GSA, opposition learning based GSA (OGSA) and disruption based GSA (DGSA). The sensitivity analysis is also carried out to study the robustness of DOGSA tuned controllers in order to accommodate variations in operating load conditions, tie-line synchronizing coefficient, time constants of governor and turbine. Further, the approaches are extended to a more realistic power system model by considering the physical constraints such as thermal turbine generation rate constraint, speed governor dead band and time delay.


References | Cited By  «-- Click to see who has cited this paper

[1] H. Saadat, Power system analysis, 2nd ed. New Delhi, India: TMH, pp. 551, 2002.

[2] Ibraheem, P. Kumar, D.P. Kothari, "Recent philosophies of automatic generation control strategies in power systems," IEEE T Power Syst, Vol. 20, No. 1, pp. 346-57, Feb. 2005.
[CrossRef] [Web of Science Times Cited 476] [SCOPUS Times Cited 670]


[3] H. Shayeghi, H.A. Shayanfar, A. Jalili, "Load frequency control strategies: A state-of-the-art survey for the researcher," Energ Convers Manage, Vol. 50, No. 2, pp. 344-353, Feb. 2009.
[CrossRef] [Web of Science Times Cited 326] [SCOPUS Times Cited 410]


[4] S.K. Pandey, R.M. Soumya, N. Kishor, "A literature survey on load-frequency control for conventional and distribution generation power systems," Renew Sust Energ Rev, Vol. 25, pp. 318-334, Sep. 2013.
[CrossRef] [Web of Science Times Cited 324] [SCOPUS Times Cited 402]


[5] S.J.P.S. Mariano, J.A.N. Pombo, M.R.A. Calado, L.A.F.M. Ferreira, "A procedure to specify the weighting matrices for an optimal load-frequency controller," Turk J Electr Eng Co, Vol. 20, No. 3, pp. 367-379, 2012.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 8]


[6] N. Hasan, Ibraheem, P. Kumar, N. Nizamuddin, "Sub-optimal automatic generation control of interconnected power system using constrained feedback control strategy," Int J Elec Power, Vol. 43, No. 1, pp. 295-303, Dec. 2012.
[CrossRef] [Web of Science Times Cited 21] [SCOPUS Times Cited 26]


[7] A. Demiroren, N.S. Sengor, H.L. Zeynelgil, "Automatic generation control by using ANN technique," Electr Pow Compo Sys, Vol. 29, No. 10, pp. 883-896, 2001.
[CrossRef] [Web of Science Times Cited 57] [SCOPUS Times Cited 72]


[8] A. Zavoianu, G. Bramerdorfer, E. Lughofer, S. Siber, W. Amrhein, E.P. Klement, "Hybridization of multi-objective evolutionary algorithms and artificial neural networks for optimizing the performance of electrical drives," Eng Appl Artif Intel, Vol. 26, No. 8, pp. 1781-1794, Jun. 2013.
[CrossRef] [Web of Science Times Cited 65] [SCOPUS Times Cited 80]


[9] E. Cam and I. Kocaarslan, "Load frequency control in two area power systems using fuzzy logic controller," Energ Convers Manage, Vol. 46, No. 2, pp. 233-243, Jan. 2005.
[CrossRef] [Web of Science Times Cited 127] [SCOPUS Times Cited 160]


[10] M.I. Alomoush, "Load frequency control and automatic generation control using fractional order controllers," Electr Eng, Vol. 91, No. 7, pp. 357-368, Jan. 2010.
[CrossRef] [Web of Science Times Cited 103] [SCOPUS Times Cited 95]


[11] H. Shayeghi, A. Jalili, H.A. Shayanfar, "Multi-stage fuzzy load frequency control using PSO," Energ Convers Manage, Vol. 49, No. 10, pp. 2570-2580, Oct. 2008.
[CrossRef] [Web of Science Times Cited 102] [SCOPUS Times Cited 149]


[12] F. Valdez, P. Melin, O. Castillo, "An improved evolutionary method with fuzzy logic for combining particle swarm optimization and genetic algorithms," Appl Soft Comput, Vol. 11, No. 2, pp. 2625-2632, Mar. 2011.
[CrossRef] [Web of Science Times Cited 150] [SCOPUS Times Cited 192]


[13] N. A. El-Hefnawy, "Solving bi-level problems using modified particle swarm optimization algorithm," Int J Artificial Intelligence, Vol. 12, No. 2, pp. 88-101, Oct. 2014.

[14] E.S. Ali, S.M. Abd-Elazim, "Bacteria foraging optimization algorithm based load frequency control for interconnected power system," Int J Elec Power, Vol. 33, No. 3, pp. 633-638, Mar. 2011.
[CrossRef] [Web of Science Times Cited 263] [SCOPUS Times Cited 364]


[15] U.K. Rout, R.K. Sahu, S. Panda, "Design and analysis of differential evolution algorithm based automatic generation control for interconnected power system," Ain Shams Eng J, Vol. 4, No. 3, pp. 409-421, Sep. 2013.
[CrossRef] [SCOPUS Times Cited 208]


[16] H. Shabani, B. Vahidi, M. Ebrahimpour, "A robust PID controller based on imperialist competitive algorithm for load-frequency control of power systems," ISA T, Vol. 52, No. 1, pp. 88-95, Jan. 2013.
[CrossRef] [Web of Science Times Cited 196] [SCOPUS Times Cited 248]


[17] S. Debbarma, L.C. Saikia, N. Sinha, "Automatic generation control using two degree of freedom fractional order PID controller," Int J Elec Power, Vol. 58, pp. 120-129, Jun. 2014.
[CrossRef] [Web of Science Times Cited 133] [SCOPUS Times Cited 170]


[18] E. Rashedi, H. Nezamabadi-pour, J.S. Saryazdi, "GSA: a gravitational search algorithm," Inform Sciences, Vol. 179, No. 13, pp. 2232-2248, Jun. 2009.
[CrossRef] [Web of Science Times Cited 3677] [SCOPUS Times Cited 4511]


[19] R.K. Sahu, S. Panda, S. Padhan, "Optimal gravitational search algorithm for automatic generation control of interconnected power systems," Ain Shams Eng J, Vol. 5, No. 3, pp. 721-733, Sep. 2014.
[CrossRef] [SCOPUS Times Cited 136]


[20] R. E. Precup, R. C. David, E. M. Petriu, S. Preitl, A. S. Paul, "Gravitational search algorithm-based tuning of fuzzy control systems with a reduced parametric sensitivity," Series: Soft Computing in Industrial Applications, Advances in Intelligent and Soft Computing, Vol. 96, pp. 141-150, 2011.
[CrossRef] [SCOPUS Times Cited 69]


[21] S. Rahnamayan, H.R. Tizhoosh, M.M.A. Salama, "A novel population initialization method for accelerating evolutionary algorithms," Comput Math Appl, Vol. 53, No. 10, pp. 1605-1614, May 2007.
[CrossRef] [Web of Science Times Cited 188] [SCOPUS Times Cited 240]


[22] B. Shaw, V. Mukherjee, S.P. Ghoshal, "A novel opposition-based gravitational search algorithm for combined economic and emission dispatch problems of power systems," Int J Elec Power, Vol. 35, No. 1, pp. 21-33, Feb. 2012.
[CrossRef] [Web of Science Times Cited 178] [SCOPUS Times Cited 205]


[23] S. Sarafrazi, H. Nezamabadipour, S. Saryazdi, "Disruption: a new operator in gravitational search algorithm," Sci Iran, Vol. 18, No. 3, pp. 539-548, Jun. 2011.
[CrossRef] [Web of Science Times Cited 125] [SCOPUS Times Cited 154]


[24] A.W. Berger, F.C. Schweppe, "Real time pricing to assist in load frequency control," IEEE T Power Syst, Vol. 4, No. 3, pp. 920-926, Aug. 1989.
[CrossRef] [Web of Science Times Cited 80] [SCOPUS Times Cited 98]


[25] I.C. Report, "Dynamic model for steam and hydro turbines in power system studies," IEEE T Power Ap Syst, Vol. PAS-92, No. 6, pp. 1904-1915, Nov. 1973.
[CrossRef] [SCOPUS Times Cited 723]


[26] I.W.G. Report, "Dynamic models for fossil fuelled steam units in power system studies," IEEE T Power Syst, Vol. 6, No. 2, pp. 753-761, May 1991.
[CrossRef] [Web of Science Times Cited 167] [SCOPUS Times Cited 274]


[27] W.I. Rowen, "Simplified mathematical representation of heavy duty gas turbine," J Eng Gas Turb Power, Vol. 105, No. 4, pp. 865-870, Oct. 1983.
[CrossRef] [Web of Science Times Cited 365] [SCOPUS Times Cited 527]




References Weight

Web of Science® Citations for all references: 7,128 TCR
SCOPUS® Citations for all references: 10,191 TCR

Web of Science® Average Citations per reference: 255 ACR
SCOPUS® Average Citations per reference: 364 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2022-08-11 18:47 in 155 seconds.




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