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Interactive Compromise Approach with Particle Swarm Optimization for Environmental/Economic Power Dispatch
Abstract:In this paper, an Interactive Compromise Approach with Particle Swarm Optimization(ICA-PSO) is presented to solve the Economic Emission Dispatch(EED) problem. The cost function and emission function are modeled as the nonsmooth functions, respectively. The bi-objective including both the minimization of cost and emission is formulated in this paper. ICA-PSO is proposed to solve EED problem for finding a better compromise solution. The solution methodology can offer a global or near-global solution for decision-making requirements. The effectiveness and efficiency of ICA-PSO are demonstrated by a sample test system. Test results can be shown that the proposed method provide a practical and flexible framework for power dispatch.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1057841Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1136
 I.N. Silva, L. Nepomuceno, and T.M. Bastos, "An efficient hopfield network to solve economic dispatch problems with transmission system representation-, The International Journal of Electrical Power and Energy Systems, Vol. 26, pp.733-738, 2004.
 T.A.A.Victoire and A.E. Jeyakumar, "Hybrid PSO-SQP for economic dispatch with valve-point effect,"Electric Power Systems Research, Vol.71, pp.51-59, 2004.
 J. Nanda, B. Narayanan and P.B. Narayanan,"Application of Genetic Algorithm for economic load dispatch with lineflow constraints,"The International Journal of Electrical Power and Energy Systems Vol. 24, pp.723-729, 2002.
 D.-K.He, F.-L.Wang, and Z.-Z. Mao,"A hybrid genetic algorithm approach based on differential evolution for economic dispatch with valve-point effect,"The International Journal of Electrical Power and Energy Systems, Vol. 30, pp.31-38, 2008.
 T. Jayabarathi, K. Jayaprakash, D.N. Jeyakumar, and T. Raghunathan,"Evolutionary programming techniques for different kinds of economic dispatch problems,"Electrical Power Systems Research, Vol.73, pp.169-176, 2005.
 J.B. Park, K.S. Lee, J.R. Shin, and K.Y. Lee,"A Particle swarm optimization for economic dispatch with nonsmooth cost functions,"IEEE Transactions on Power Systems, Vol.20, No.1, pp.34-42, February 2005.
 A.A. Elkeib, H.Ma, and J.L. Hart,"Economic dispatch in view of the clean air act of 1990,"IEEE Trans on PWRS, Vol.9, No.2, pp.972-978, May 1994.
 M Basu, "A Simulated annealing-based goal-attainment method for economic emission load dispatch of fixed head hydrothermal power systems,"The International Journal of Electrical Power and Energy Systems Vol. 27, pp.147-153, 2005.
 Kit Po Wong, and Jason Yuryevich,"Evolutionary programming based algorithm for environmentally constrained economic dispatch,"IEEE Trans. on Power Systems, Vol.13, No.2, pp.301-306, May 1998.
 Ming-Tong Tsay, Whei-Min Lin, and Jhi-Li Lee, "Application of evolutionary programming for economic dispatch of cogeneration systems under emission constraints"International Journal of Electrical Energy & Energy Systems, Vol.23, Issuse 8, pp.805-812, December 2001.
 S.R. Huang and Y.W. Lin, "Effectiveness optimum stratified sampling in monte carlo chronological CO2 emission pollutants of generation system modeling,"IEEE trans. on Power Systems, Vol.11, No.2, 1083-1089, May 1996.
 D. Srinivasan and A.G.B. Tettamanzi, "An evolutionary algorithm for evaluation of emission compliance options in view of the clean air act amendments,"IEEE Trans. on Power Systems, Vol.12, No.1, pp.336-341, February 1997.
 R. Gnanadass, Narayana Prasad Padhy,; K. Manivannan, "Assessment of available transfer capability for practical power systems with combined economic emission dispatch,"Electric Power Systems Research Volume: 69, Issue: 2-3, pp. 267-276, May, 2004.
 Mesut Muslu,"Economic dispatch with environmental considerations: tradeoff curves and emission reduction rates,"Electric Power Systems Research Volume: 71, Issue: 2, pp. 153-158, October, 2004.
 Lingfeng Wang and Chanan Singh, "Environmental/economic power dispatch using a fuzzified multi-objective particle swarm optimization algorithm,"Electric Power Systems Research Volume: 77, Issue: 12, pp. 1654-1664, October 2007.
 J. Kennedy and R. C. Eberhart, "Particle swarm optimization," Proceedings of the IEEE International Conference on Neural Networks, Vol.4, pp.1942-1948, 1995.
 C.C. Kuo and H.C. Chang,"Solving the bi-objective scheduling of switched capacitors using an interactive best-compromise approach,"Electric Power System Research 46, pp.133-140, 1998.
 M. Basu, "Dynamic economic emission dispatch using nondominated sorting genetic algorithm-II," International Journal of Electrical Energy & Energy Systems, Vol.30, pp.140-149, 2008.