Abstract
Economic emission dispatch (EED) in the power system is a non-linear constrained multi-objective optimization problem. In this paper, a new chaotic optimization algorithm for solving this complex problem is proposed. Two forms of logistic maps and marginal analysis for optimization are used in the proposed algorithm. The simulation results obtained by the proposed algorithm are compared with those of chaotic optimization algorithm and other approaches reported in recent literatures. The comparison results demonstrate the effectiveness of the proposed algorithm in solving the multi-objective EED problem.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Guo, C.X., Zhan, J.P., Wu, Q.H.: Dynamic economic emission dispatch based on group search optimizer with multiple producers. Electric Power Systems Research 86, 8–16 (2012)
Vahidinasab, V., Jadid, S.: Joint economic and emission dispatch in energy markets: A multiobjective mathematical programming approach. Energy 35(3), 1497–1504 (2010)
El-Sehiemy, R.A., El-Hosseini, M.A., Hassanien, A.E.: Multiobjective Real-Coded Genetic Algorithm for Economic/Environmental Dispatch Problem. Studies in Informatics and Control 22(2), 113–122 (2013)
Niknam, T., Doagou-Mojarrad, H.: Multiobjective economic/emission dispatch by multiobjective θ-particle swarm optimization. IET Generation, Transmission & Distribution 6(5), 363–377 (2012)
Lu, Y., Zhou, J., et al.: Environmental/economic dispatch problem of power system by using an enhanced multi-objective differential evolution algorithm. Energy Conversion and Management 52(2), 1175–1183 (2011)
Wang, Y., Zhou, J., Qin, H., Lu, Y.: Improved chaotic particle swarm optimization algorithm for dynamic economic dispatch problem with valve-point effects. Energy Conversion and Management 51(12), 2893–2900 (2010)
Cai, J., Ma, X., Li, Q., et al.: A multi-objective chaotic particle swarm optimization for environmental/economic dispatch. Energy Conversion and Management 50(5), 1318–1325 (2009)
Rusak, H.: The method of determining marginal costs of energy transmission in power network. International Journal of Electrical Power & Energy Systems 30(6-7), 428–433 (2008)
Mukherjee, A., Sarkar, S., Chakraborty, P.K.: Marginal analysis of water productivity function of tomato crop grown under different irrigation regimes and mulch managements. Agricultural Water Management 104, 121–127 (2012)
He, G.Y., He, G.W.: Synchronous chaos in the coupled system of two logistic maps. Chaos, Solitons and Fractals 23(3), 909–913 (2005)
Wang, L., Fu, X., Mao, Y., et al.: A novel modified binary differential evolution algorithm and its applications. Neurocomputing 98, 55–75 (2012)
Abido, M.A.: A niched Pareto genetic algorithm for multiobjective environmental/economic dispatch. International Journal of Electrical Power and Energy Systems 25(2), 97–105 (2003)
Rughooputh Harry, C.S., Ah King Robert, T.F.: Environmental/economic dispatch of thermal units using an elitist multiobjective evolutionary algorithm. In: Proceedings of the IEEE International Conference on Industrial Technology, vol. 1, pp. 48–53 (2003)
Shayeghi, H., Shayanfar, H.A., Jalilzadeh, S., Safari, A.: Multi-machine power system stabilizers design using chaotic optimization algorithm. Energy Conversion and Management 51(7), 1572–1580 (2010)
Dhillon, J.S., Parti, S.C., Khotari, D.P.: Stochastic economic emission load dispatch. Electric Power System Research 26, 179–186 (1993)
Song, H., Wang, G.S., Wang, P.Y., Johns, A.T.: Environmental/economic dispatch using fuzzy logic controller genetic algorithms. IEE Proceedings: Generation, Transmission and Distribution 144(4), 377–382 (1997)
Roy, P.K., Ghoshal, S.P., Thakur, S.S.: Combined Economic Emission dispatch biogeography based optimization. Electrical Engineering 92(4-5), 173–184 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Di, Y., Wang, L., Fei, M. (2014). A Multi-objective Chaotic Optimization Algorithm for Economic Emission Dispatch with Transmission Loss. In: Li, K., Xue, Y., Cui, S., Niu, Q. (eds) Intelligent Computing in Smart Grid and Electrical Vehicles. ICSEE LSMS 2014 2014. Communications in Computer and Information Science, vol 463. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45286-8_32
Download citation
DOI: https://doi.org/10.1007/978-3-662-45286-8_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45285-1
Online ISBN: 978-3-662-45286-8
eBook Packages: Computer ScienceComputer Science (R0)