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Original Articles

Cuckoo Search Algorithm for Emission Reliable Economic Multi-objective Dispatch Problem

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References

  • A. J. Wood, and B. F. Wollenberg, Power Generation, Operation and Control, 2nd ed. New York: Wiley, 1996.
  • J. L. Golden, C. J. Stansberry, R. L. Vice, J. T. Wood, J. Ballance, G. Brown, J. Y. Kamya, E. K. Nielsen, H. Nakajima, M. Ookubo, I. Iyoda, and G. W. Cauley, “Potential impacts of clean air regulations on system operations,” IEEE Trans. Power Syst., Vol. 10, pp. 647–53, May 1995.
  • A. Camyab, and J. S. McConnach, “A more perfect energy union,” IEEE Power Energy Mag., Vol. 4, no. 4, pp. 47–56, Aug. 2006.
  • NERC, Becoming the New NERC, cited 2007 14 April, 2007.
  • B. Williams, and P. Meyer, “The Energy Policy Act of 2005: Reliability of the electric transmission infrastructure in the 21st century,” presented at the IEEE-USA EPC, Washington, DC, Aug. 8, 2005.
  • M. Abido, “Environmental/economic power dispatch using multi objective evolutionary algorithms,” IEEE Trans. Power Syst., Vol. 18, no. 4, pp. 1529–37, Nov. 2003.
  • M. Abido, “Multiobjective evolutionary algorithms for electric power dispatch problem,” IEEE Trans. Evol. Comput., Vol. 10, no. 3, pp. 315–29, May 2006.
  • M. Varadarajan, and K. Swarup, “Solving multi-objective optimal power flow using differential evolution,” IET Gener. Transm. Distrib., Vol. 2, no. 5, pp. 720–30, May 2008.
  • D. Gong, Y. Zhang, and C. Qi, “Environmental/economic power dispatch using a hybrid multi-objective optimization algorithm,” Int. J. Electr. Power Energy Syst., Vol. 32, no. 6, pp. 607–14, Jul. 2009.
  • L. Wu, Y. Wang, X. Yuan, and S. Zhou, “Environmental/economic power dispatch problem using multi-objective differential evolution algorithm,” Electr. Power Syst. Res., Vol. 80, no. 9, pp.1171–81, Sep. 2010.
  • N. Sinha, R. Chakrabarti, and P. K. Chattopadhyay, “Evolutionary programming techniques for economic load dispatch,” IEEE Trans. Evol. Comput., Vol. 7, no. 1, pp. 83–94, Feb. 2003.
  • L. Wang, and C. Singh, “Environmental/economic power dispatch using a fuzzified multi-objective particle swarm optimization algorithm,” Electr. Power Syst. Res., Vol. 77, no. 12, pp. 1654–64, Oct. 2007.
  • M, Abido, “Multiobjective particle swarm optimization for environmental/economic dispatch problem,” Electr. Power Syst. Res., Vol. 79, no. 7, pp. 1105–13, Jul. 2009.
  • Shubham Agrawal, B K Panigrahi, and Manoj Kumar Tiwari, “Multiobjective particle swarm algorithm with fuzzy clustering for electrical power dispatch,” IEEE Trans. Evol. Comput., Vol. 12, no. 5, pp. 529–41, Sep. 2008.
  • S. Sivasubramani, and K. S. Swarup, “Environmental/economic dispatch using multi-objective harmony search algorithm,” Electr. Power Syst. Res., Vol. 81, pp. 1778–85, Sep. 2011, doi:10.1016/j.epsr.2011.04.007.
  • A. Bhattacharya, and P. K. Chattopadhyay, “Solving economic emission load dispatch problems using hybrid differential evolution,” Appl. Soft Comput., Vol. 11, pp. 2526–37, Mar. 2011.
  • J. Cai, X. Q. Ma, Q. Li, L. X. Li, and H. P. Peng, “A multi-objective chaotic ant swarm optimization for environment/economic dispatch,” Electr. Power Energy Syst., Vol. 32, pp. 337–44, Jun. 2010.
  • L. F. Wang, and C. Singh, “Environmental/economic power dispatch using a fuzzified multi-objective particle swarm optimization algorithm,” Electr. Power Syst. Res., Vol. 77, no. 12, pp.1654–64, Oct. 2007.
  • X. S. Yang, and S. Deb, “Cuckoo search via L´evy flights,” in Proceedings of World Congress on Nature & Biologically Inspired Computing (NaBIC 2009), Coimbatore, India, Dec. 2009, pp. 210–4.
  • X. S. Yang, and S. Deb, “Engineering optimization by cuckoo search,” Int. J. Math. Model. Numer. Optim., Vol. 1, pp. 330–43, Dec. 2010.
  • R. Billinton, and R. N. Allan, Reliability Evaluation of Power System, 2nd ed. New York: Plenum Press, 1996.
  • M. Basu, “Economic environmental dispatch using multi-objective differential evolution,” Appl. Soft Comput., Vol. 11, pp. 2845–53, Mar. 2011.
  • K. Chandrasekaran, Sishaj P. Simon, and Narayana Prasad Padhy, 2013, “Binary real coded firefly algorithm for solving unit commitment problem,” Inf. Sci., Vol. 249, pp. 67–84, Nov. 2013.
  • S. Hemamalini, and Sishaj P. Simon, “Emission constrained economic dispatch with valve-point effect using Maclaurin series based Lagrangian method,” Int. J. Power Energy Convers., Vol. 3, no. 1/2, pp. 1–18, Feb. 2012.
  • I. J. Raglend, S. Veeravalli, K. Sailaja, B. Sudheera, and D. P. Kothari, “Comparison of AI techniques to solve combined economic emission dispatch problem with line flow constraints”, Electr. Power Energy Syst., Vol. 32, pp. 592–8, Jul. 2010.
  • P. Venkatesh, R. Gnanadass, and N. P. Padhy, “Comparison and application of evolutionary programming techniques to combined economic emission dispatch with line flow constraints,” IEEE Trans. Power Syst., Vol. 18, pp. 688–97, May 2003.
  • K. Chandrasekaran, S. Hemamalini, Sishaj P. Simon, and Narayana Prasad Padhy, “Thermal unit commitment using binary/real coded artificial bee colony algorithm,” Electr. Power Syst. Res., Vol. 84, pp. 109–19, Mar. 2012.
  • C. Wang, and S. M. Shahidehpour, “Effects of ramp rate limits on unit commitment and economic dispatch,” IEEE Trans. Power Syst., Vol. 8, pp. 1341–50, Aug. 1993.
  • X. Bai, and H. Wei, “Semi-definite programming-based method for security constrained unit commitment with operational and optimal power flow constraints”, IET Gener. Transm. Distrib., Vol. 3, pp. 182–97, Feb. 2009.

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