1. bookVolumen 6 (2016): Edición 2 (April 2016)
Detalles de la revista
License
Formato
Revista
eISSN
2449-6499
Primera edición
30 Dec 2014
Calendario de la edición
4 veces al año
Idiomas
Inglés
Acceso abierto

Cuckoo Search Algorithm for Optimal Placement and Sizing of Static Var Compensator in Large-Scale Power Systems

Publicado en línea: 10 Mar 2016
Volumen & Edición: Volumen 6 (2016) - Edición 2 (April 2016)
Páginas: 59 - 68
Detalles de la revista
License
Formato
Revista
eISSN
2449-6499
Primera edición
30 Dec 2014
Calendario de la edición
4 veces al año
Idiomas
Inglés

[1] Del Valle, Y., Hernandez, J. C., Venayagamoorthy, G. K., & Harley, R. G., Optimal STATCOM Sizing and Placement Using Particle Swarn Optimization. In Transmission & Distribution Conference and Exposition: Latin America. TDC’06. IEEE/PES. IEEE, 2006, pp. 1-6.10.1109/TDCLA.2006.311370Search in Google Scholar

[2] Chao-Ming, H., Yann-Chang H., Kun-Yuan H. & Hong-Tzer Y., A Harmony Search Algorithm for Optimal Power Flow Considering Flexible AC Transmission Systems, Intelligent Systems Applications to Power Systems, ISAP 2013. International Conference on, 2013, pp. 1-6Search in Google Scholar

[3] Pisica, I., Bulac, C., Toma, L., & Eremia, M., Optimal SVC placement in electric power systems using a genetic algorithms based method. In PowerTech, IEEE Bucharest. IEEE, 2009, pp. 1-6.10.1109/PTC.2009.5281841Search in Google Scholar

[4] Sirjani, R., Mohamed, A., & Shareef, H., Optimal placement and sizing of Static Var Compensators in power systems using Improved Harmony Search Algorithm. Przeglad Elektrotechniczny, 87(7), 2011, 214-218.10.1109/ICI.2011.71Search in Google Scholar

[5] Sirjani, R., Mohamed, A., & Shareef, H., Optimal allocation of shunt Var compensators in power systems using a novel global harmony search algorithm. International Journal of Electrical Power & Energy Systems, 43(1), 2012, 562-572.10.1016/j.ijepes.2012.05.068Search in Google Scholar

[6] Yang, X. S.,& Deb, S., Cuckoo search via L´evy flights. In Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on (pp. 210-214). IEEE.10.1109/NABIC.2009.5393690Search in Google Scholar

[7] Yang, X. S., & Deb, S., Engineering optimization by cuckoo search. International Journal of Mathematical Modelling and Numerical Optimisation, 1(4), 2010, 330-343.10.1504/IJMMNO.2010.035430Search in Google Scholar

[8] Civicioglu, P., & Besdok, E., A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms. Artificial Intelligence Review, 39(4), 2013, 315-346.10.1007/s10462-011-9276-0Search in Google Scholar

[9] Moravej, Z., & Akhlaghi, A., A novel approach based on cuckoo search for DG allocation in distribution network. International Journal of Electrical Power & Energy Systems, 44(1), 2013, 672-679.10.1016/j.ijepes.2012.08.009Search in Google Scholar

[10] Ahmed, J., & Salam, Z., A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability. Applied Energy, 119, 2014, 118-130.10.1016/j.apenergy.2013.12.062Search in Google Scholar

[11] Vo, D. N., Schegner, P., & Ongsakul, W., Cuckoo search algorithm for non-convex economic dispatch. Generation, Transmission & Distribution, IET,7(6), 2013.10.1049/iet-gtd.2012.0142Search in Google Scholar

[12] Cai, L. J., Erlich, I., & Stamtsis, G., Optimal choice and allocation of FACTS devices in deregulated electricity market using genetic algorithms. In Power Systems Conference and Exposition, 2004. IEEE PES(pp. 201-207). IEEE.Search in Google Scholar

[13] Mantegna, R. N., Fast, accurate algorithm for numerical simulation of Levy stable stochastic processes. Physical Review E, 49(5), 1994, 4677.10.1103/PhysRevE.49.4677Search in Google Scholar

[14] Zimmerman, R. D., Murillo-Snchez, C. E., & Thomas, R. J., MATPOWER: Steady-state operations, planning, and analysis tools for power systems research and education. Power Systems, IEEE Transactions on,26(1), 2011, 12-19.10.1109/TPWRS.2010.2051168Search in Google Scholar

[15] Rao, R. V., Savsani, V. J., & Vakharia, D. P., Teachinglearning-based optimization: an optimization method for continuous non-linear large scale problems. Information Sciences, 183(1), 2012,1-15.10.1016/j.ins.2011.08.006Search in Google Scholar

[16] Rao, R., & Patel, V. (2012). An elitist teachinglearning- based optimization algorithm for solving complex constrained optimization problems. International Journal of Industrial Engineering Computations, 3(4), 535-560.10.5267/j.ijiec.2012.03.007Search in Google Scholar

[17] Ratnaweera, A., Halgamuge, S. K., & Watson, H. C. (2004). Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients.Evolutionary Computation, IEEE Transactions on, 8(3), 240-255.10.1109/TEVC.2004.826071Search in Google Scholar

[18] Mahdavi, M., Fesanghary, M., & Damangir, E. (2007). An improved harmony search algorithm for solving optimization problems. Applied mathematics and computation, 188(2), 1567-1579 10.1016/j.amc.2006.11.033Search in Google Scholar

Artículos recomendados de Trend MD

Planifique su conferencia remota con Sciendo