Application of Search Group Algorithm for Automatic Generation Control of Multi-area Multi-source Power Systems

Dillip Khamari; Rabindra Kumar Sahu; Sidhartha Panda

doi:10.1051/e3sconf/20198701005

All issues

Volume 87 (2019)

E3S Web Conf., 87 (2019) 01005

References

Open Access

Issue		E3S Web Conf. Volume 87, 2019 1^st International Conference on Sustainable Energy and Future Electric Transportation (SeFet 2019)


Article Number		01005
Number of page(s)		6
DOI		https://doi.org/10.1051/e3sconf/20198701005
Published online		22 February 2019

H. Bevrani, Robust Power System Frequency Control, Springer, (2009) [CrossRef] [Google Scholar]
H. Bervani, T. Hiyama, Intelligent Automatic Generation control, CRC Press, (2011) [Google Scholar]
O.I. Elgerd, Electric Energy Systems Theory – An Introduction, Tata McGraw Hill, New Delhi, (2000) [Google Scholar]
K.P. Ibraheem, D.P. Kothari, Recent philosophies of automatic generation control strategies in power systems, IEEE Trans. Power Syst., 20, 346-357, (2005). [Google Scholar]
J. Nanda, A. Mangla, S. Suri, Some findings on automatic generation control of an interconnected hydrothermal system with conventional controllers, IEEE Trans. on Energy Conv., 21, 187-193, (2006) [CrossRef] [Google Scholar]
L.C. Saikia, J. Nanda, S. Mishra, Performance comparison of several classical controllers in AGC for multi-area interconnected thermal system, Int. J. Elect. Power & Energy Systs., 33(3), 394-401, (2011) [CrossRef] [Google Scholar]
R. K. Sahu, T.S. Gorripotu, S. Panda, Automatic generation control of multi-area power systems with diverse energy sources using teaching learning based optimization algorithm, Engg. Science & Technology, An International Journal, 19, 113-134, (2016) [CrossRef] [Google Scholar]
E. S. Ali, S. M. Abd-Elazim, Bacteria foraging optimization algorithm based load frequency controller for interconnected power system, Int. J. Elect. Power & Energy Systs., 33(3), 633-638, (2011). [CrossRef] [Google Scholar]
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. Elect. Power & Energy Systs., 77(3), 287–301, (2016). [CrossRef] [Google Scholar]
G. Sharma, I. Nasiruddin, K.R. Niazi, R.C. Bansal, Optimal AGC of a multi-area power system with parallel AC/DC tie lines using output vector feedback control strategy, Int. J. Elect. Power & Energy Systs., 81, 22-31, (2016) [CrossRef] [Google Scholar]
D. Guha, P.K. Roy, S. Banerjee, Load frequency control of interconnected power system using grey wolf optimization, Swarm and Evol. Compt., 27, 97-115, (2016) [CrossRef] [Google Scholar]
S. Padhan, R.K. Sahu, S. Panda, Application of firefly algorithm for load frequency control of multi-area interconnected power system’, Elect. Power Compts and Syst., 42(13), 1419-1430, 2014. [CrossRef] [Google Scholar]
M.S. Gonçalves, R. H. Lopez, L.F. Fadel, Search group algorithm: A new metaheuristic method for the optimization of truss structures design, Computers and Structures, 153, 165-184, (2015). [CrossRef] [Google Scholar]
K.P.S. Parmar, S. Majhi, D.P. Kothari, Load frequency control of a realistic power system with multi-source power generation, Int. J. Elect. Power & Energy Systs., 42, 426-433, (2012). [CrossRef] [Google Scholar]
H. Shabani, B. Vahidi, M.A. Ebrahimpour, Robust PID controller based on imperialist competitive algorithm for load-frequency control of power systems, ISA Trans., 52, 88-95, (2012) [Google Scholar]
X.S. Yang, Nature-Inspired Metaheuristic lgorithms, Luniver Press, UK, (2008) [Google Scholar]
X.S. Yang, Firefly algorithms for multimodal optimization, in: Stochastic Algorithms: Foundations and Applications, SAGA Lecture Notes in Computer Sciences, 5792, 169–178, (2009) [CrossRef] [Google Scholar]
X.S. Yang, Firefly algorithm, stochastic test functions and design optimization, International Journal of Bio-inspired Computation, 2, 78–84, (2010). [CrossRef] [Google Scholar]

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[1] H. Bevrani, Robust Power System Frequency Control, Springer, (2009) [CrossRef] [Google Scholar]

[2] H. Bervani, T. Hiyama, Intelligent Automatic Generation control, CRC Press, (2011) [Google Scholar]

[3] O.I. Elgerd, Electric Energy Systems Theory – An Introduction, Tata McGraw Hill, New Delhi, (2000) [Google Scholar]

[4] K.P. Ibraheem, D.P. Kothari, Recent philosophies of automatic generation control strategies in power systems, IEEE Trans. Power Syst., 20, 346-357, (2005). [Google Scholar]

[5] J. Nanda, A. Mangla, S. Suri, Some findings on automatic generation control of an interconnected hydrothermal system with conventional controllers, IEEE Trans. on Energy Conv., 21, 187-193, (2006) [CrossRef] [Google Scholar]

[6] L.C. Saikia, J. Nanda, S. Mishra, Performance comparison of several classical controllers in AGC for multi-area interconnected thermal system, Int. J. Elect. Power & Energy Systs., 33(3), 394-401, (2011) [CrossRef] [Google Scholar]

[7] R. K. Sahu, T.S. Gorripotu, S. Panda, Automatic generation control of multi-area power systems with diverse energy sources using teaching learning based optimization algorithm, Engg. Science & Technology, An International Journal, 19, 113-134, (2016) [CrossRef] [Google Scholar]

[8] E. S. Ali, S. M. Abd-Elazim, Bacteria foraging optimization algorithm based load frequency controller for interconnected power system, Int. J. Elect. Power & Energy Systs., 33(3), 633-638, (2011). [CrossRef] [Google Scholar]

[9] 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. Elect. Power & Energy Systs., 77(3), 287–301, (2016). [CrossRef] [Google Scholar]

[10] G. Sharma, I. Nasiruddin, K.R. Niazi, R.C. Bansal, Optimal AGC of a multi-area power system with parallel AC/DC tie lines using output vector feedback control strategy, Int. J. Elect. Power & Energy Systs., 81, 22-31, (2016) [CrossRef] [Google Scholar]

[11] D. Guha, P.K. Roy, S. Banerjee, Load frequency control of interconnected power system using grey wolf optimization, Swarm and Evol. Compt., 27, 97-115, (2016) [CrossRef] [Google Scholar]

[12] S. Padhan, R.K. Sahu, S. Panda, Application of firefly algorithm for load frequency control of multi-area interconnected power system’, Elect. Power Compts and Syst., 42(13), 1419-1430, 2014. [CrossRef] [Google Scholar]

[13] M.S. Gonçalves, R. H. Lopez, L.F. Fadel, Search group algorithm: A new metaheuristic method for the optimization of truss structures design, Computers and Structures, 153, 165-184, (2015). [CrossRef] [Google Scholar]

[14] K.P.S. Parmar, S. Majhi, D.P. Kothari, Load frequency control of a realistic power system with multi-source power generation, Int. J. Elect. Power & Energy Systs., 42, 426-433, (2012). [CrossRef] [Google Scholar]

[15] H. Shabani, B. Vahidi, M.A. Ebrahimpour, Robust PID controller based on imperialist competitive algorithm for load-frequency control of power systems, ISA Trans., 52, 88-95, (2012) [Google Scholar]

[16] X.S. Yang, Nature-Inspired Metaheuristic lgorithms, Luniver Press, UK, (2008) [Google Scholar]

[17] X.S. Yang, Firefly algorithms for multimodal optimization, in: Stochastic Algorithms: Foundations and Applications, SAGA Lecture Notes in Computer Sciences, 5792, 169–178, (2009) [CrossRef] [Google Scholar]

[18] X.S. Yang, Firefly algorithm, stochastic test functions and design optimization, International Journal of Bio-inspired Computation, 2, 78–84, (2010). [CrossRef] [Google Scholar]