Solving Combined Economic and Emission Dispatch using Cuckoo Search

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-6                      
Year of Publication : 2013
Authors : Upasana Sapra

Citation 

Upasana Sapra."Solving Combined Economic and Emission Dispatch u sing Cuckoo Search". International Journal of Engineering Trends and Technology (IJETT). V4(6):2544-2549 Jun 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.

Abstract

This paper presents an application of a new meta - heuristi c approach called Cuckoo Search (CS) for solving Multi - objective CEED problem. Combined Economic and Emission Dispatch problem determines optimum power generation schedule while minimizing fuel cost and emission simultaneously. Cuckoo Search is inspired fr om the obligate brood parasitic strategy of cuckoo species in combination with the lévy flights behavior of birds. To validate the effectiveness & feasibility of the approach, it has been examined on three different standard test cases. Simulation results obtained are also compared with other reported methodology. The comparison confirms the superiority, fast convergence and proficiency of the algorithm.

References

[1] El - Kei b AA, Ma H, JL Hart, “Economic Dispatch in view of the Clean A ir A ct of 1990,” IEEE Trans Power Syst , Vol.9, N o. 2, pp.972 – 978, 1994.
[2] Y.H. Song, R. Morgan, D. William s, “Environmentally constrained Electric P ower Dispatch with G enetic A lgorithms,” Evolutionary Computation, IEEE International Conference , vol.1, pp.17, Dec. 1995.
[3] U. Güvenç, ‘‘Combined E conomic and Emission Dispatch solution using G enetic A lgorithm based on similarity crossover,” Scientific Research and Essays , vol.5, no. 17, pp. 2451 – 2456, 2010.
[4] R. Balamurugan and S. Subramanian, “A Simplified R ecursive A pproach to combined economic emission dispatch,” Electric Power Components and Systems , vol. 36 number 1, pp. 17 – 27, 2008.
[5] M. Abido, “Environmental/E conomic Power D ispatch usi ng Multi - objective Evolutionary A lgorithms,” IEEE Trans. Power Syst . vol.18, no. 4, pp.1529 – 1537, 2003.
[6] M. Sudhakarn, S.M.R S lochanal, R. Sreeram and N. Chandrasekhar, “Application of Refined G enetic Algorithm to Combined Economic Emission Dispatch,” J. Institute of Engg. (India), vol - 85, pp.115 - 119, Sep.2004.
[7] M. Abido, “Multi - objective Particle S warm Optimization for Environmental/Economic D ispatch problem,” Electr. Power Syst. Res. v ol.79, no.7, pp. 1105 – 1113, 2009.
[8] A. Bhattacharya, P. Chattopadhyay, “App lication of Biogeography - Based O ptimizati on for solving Multi - objective Economic Emission Load D ispatch problems,” Electr. Power Compon. Syst ., vol.38, no. 3, pp.340 – 365, 2010.
[9] M. B asu, “Economic Environmental D ispatch using Multi - objective D ifferential E volution,” Applied Soft Computing , vol.11 pp.2845 – 2853, 2011.
[10] S. Dhanalakshmi, S. Kannan, K. Mahadevan, S. Baskar, “A pplication of modified NSGA - II A lgorithm to Combined Economic and Emission Dispatch problem,” Electrical Power and Energy Systems , vol.33, p p. 992 – 1002, 2011.
[11] G.P .Dixit, H.M. Dubey, M. Pandit, B. K. Panigrahi, “Artificial Bee Colony Optimization for Combined Economic and Emission Dispatch,” International Conference on Sustainable Energy and Intelligent System,” IEEE Conference , pp 340 - 345, July 2011.
[12] E.D. Manteaw, N.A. Odero, “Combined Economic and Emission Dispatch solution using ABC_PSO Hybrid algorithm with valve point loading effect,” International Journal of Scien tific and Research Publications , vol. 2, Issue 12, pp 1 - 9 , December, 2012.
[13] U. Guvenc, Y. Sonmez, S. Duman, N. Yoruderen, “Combined Economic and Emission Dispatch solution using gravitational search algorithm,” Turkey: Science Iranica, vol. 19, issue 6, pp 1754 - 1762, December, 2012.
[14] H. Hamedi, “Solving the C ombined E conomic L oad and Emission Dispatch problems using new H euristic A lgorithm,” Electrical Power and Energy Systems , vol.46, pp. 10 – 16, 2013.
[15] X.S. Yang, S. Deb, “Cuckoo search via Lévy flights,” in: Proc. Of World Congress on Nature & Biologically Inspired Computing (NaBIC), India. IEEE Publications, USA, pp. 210 - 215, December, 2009.
[16] X.S. Yang and S. Deb, “Engineering Optimization by Cuckoo Search,” Int. J. Mathematical Modeling and Numerical Optimization , vol. 1, no. 4, pp. 330 – 343, 2010.
[17] P. Venkatesh, R. Gnanadass, and N. P. Padhy, “Comparison and Application of Evolutionary Programming Techniques to Combined Economic and E mission D ispatch with Line Flow Constraints,” IEEE Tran sactions on Power Systems , vol. 18, no. 2, pp. 688 - 697, May 2003.
[18] X.S. Yang, “ Nature - Inspired Metaheuristic Algorithms,” Luniver Press ; 2008.
[19] X.S. Yan g and S. Deb, “Multi - objective Cuckoo S earch for design optimization,” Computers & Operations Research , v ol.40 pp.1616 – 1624, 2013.
[20] L.H. Wu, Y.N. Wang, X.F. Yuan and S.W. Zhou, “Environmental/E conomic Power D ispatch Problem using Multi - objective Differential Evolution A lgorithm”, Electric Power Systems Research, vol. 80, pp. 1171 – 1181, 2010.

Keywords
Combined Emission and Economic Dispatch (CEED), Fuel cost, Emission, Cuckoo Search (CS).