Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Combined Economic Load and Emission Dispatch using Cuckoo Search Algorithm

Author : MCV Suresh 1 Dr. Shaik Rafi Kiran 2

Date of Publication :9th March 2017

Abstract: This paper presents an application of cuckoo search algorithm for multi-objective optimization problem in power system. Considering the environmental impacts that grow from the emissions produced by fossil-fuelled power plant, the economic dispatch that minimizes only the total fuel cost can no longer be considered as single objective. Application of cuckoo Search algorithm in this paper is based on mathematical modelling to solve economic, emission and combined economic and emissions dispatch problems by a single equivalent objective function. cuckoo search algorithm has been applied to two realistic systems at different load condition. Results obtained with proposed method are compared with other techniques presented in literature. Cuckoo Search algorithm is easy to implement and much superior to other algorithms in terms of accuracy and efficiency.

Reference :

    1. Gaurav Prasad Dixit, Hari Mohan Dubey, Manjaree Pandit, B. K. Panigrahi, “Artificial Bee Colony Optimization for Combined Economic Load and Emission Dispatch”, International Conference on Sustainable Energy and Intelligent System (SEISCON 2011) ,Dr. M.G.R. University, Maduravoyal, Chennai, Tamil Nadu, India. July. 20-22, 2011.
    2. Xin-She Yang, A new metaheuristic cuckoo searchinspired algorithm.
    3. Wood, A. J. and Wollenberg, B. F., Power Generation, Operation, and Control, 1996, Wiley, New York, 2nd ed.
    4. K.P. wang, C.C. Fung, “Simulated annealing based economic dispatch algorithm,” IEE Proc. C 140, volume. 6, Nov. 1993 pp. 507-513.
    5. L.G. Damousis, A.G. Bakirtzis, S. Dokopoulos, , “Networkconstraint economic dispatch using real coded genetic algorithm,” IEEE Trans. Power Syst., volume 1, Feb 2003 pp. 198-205.
    6. C. Palanichamy, K. Srikrishna, “Economic thermal power dispatch with emission constraint” J. Institute Of Engg. (India) volume-72, April- 1991, 11.
    7. M. Sudhakaran, S.M.R Slochanal, R. Sreeram and N Chandrasekhar, “Application of Refined genetic Algorithm to Combined Economic and Emission Dispatch” J. Institute Of Engg. (India) volume-85, Sep. 2004pp. 115-119.
    8. A. Immanuel Selva kumar, K. Dhanushkodi, J. Jaya Kumar, C. Kumar Charlie Pual, “Particle swarm optimization solution to emission and economic dispatch problem ,” IEEE Conference Tencon, paper ID-075 Oct.2003
    9. M. Sudhakaran and S.M.R Slochanal, “Integrating Genetic Algorithm and Tabu Search for Emission and Economic Dispatch Problem” J. Institute Of Engg. (India) volume-86, June.2005, pp-22-27.
    10. Rughooputh HCS, King RTFA., “Environmental economic dispatch of thermal units using an elitist multiobjective evolutionary algorithm” In Proceeding of the IEEE international conference on Indus trial technology, ICIT‟03, Maribor, Slovenia;. December 10–14, 2003 pp. 48– 53..
    11. Tsay MT, Lin WM., “Application of evolutionary programming for economic dispatch of cogeneration systems under emission constraints. Electr Power Syst volume: 23(8): pp.805–12. 2001.
    12. Abido MA., “Environmental/economic power dispatch using multi-objective evolutionary algorithms.” IEEE Trans Power Syst. volume: 18(4): 2003, pp.1529–37.
    13. Abido MA., “Multiobjective particle swarm optimization for environmental/ economic dispatch problem.” Electr Power Syst Res; volume: 79(7): 2009 pp.1105–13.
    14. D. Karaboga, B. Basturk, On The Performance Of Artificial Bee Colony (ABC) Algorithm, Applied Soft Computing, volume 8, Issue 1, January 2008, pp- 687-697 .
    15. D. Karaboga, B. Basturk, “A Powerful and efficient algorithm for numerical function optimization : Artifi cial Bee Colony (ABC) Algorithm, journal of Global optimization ,volume 39, Issue 3, 2007, pp- 459-471 .
    16. Dervis Karaboga, Bahriye Akay, “A comparative study of artificial bee colony algorithm” App. Mathematics and computation, Elsevier, 2009 pp.108-132.
    17. C.M. Huang,Y.C. Huang,Anovel “Approach to realtime economic emission power dispatch”, IEEE Trans. Power Systems , volume-18,no. 1 (2003) pp.288–294.
    18. M. Muslu, “Economic dispatch with environmental considerations: trade off curves and emission reduction rates”,Electric Power Syst. Res. 71 no. 2,2004,pp 153–158.

Recent Article