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332  Decision Making Applications in Modern Power Systems


            generation. However, all the techniques for this purpose were searched for a
            solution that requires less investment to run, which is ED with minimal
            emissions.
               A new methodology was developed to evaluate the environmental pollu-
            tion caused by a TPP. This method, unlike the other ones in the literature,
            does not assign a cost value to emissions but use a general index that consid-
            ers not only the cost but also the impacts on the environment caused by the
            production. To make comparisons among different engines and fuels,
            the concept of specific emission index was developed, which is simply the
            emission index divided by the power generated by each engine.
               The results of the current study, considering the emission index and using
            the NSGA-II optimization procedure, were significant and can be applied to any
            TPP that makes the use of the new approach possible to give support to profes-
            sionals in the field to reduce the cost and emission involved in generation.


            References
             [1] A.I.S. Kumar, K. Dhanushkodi, J.J. Kumar, C.K.C. Paul, Particle swarm optimization
                solution to emission and economic dispatch problem, in: Paper Presented at the IEEE
                Conference Tencon, 2003.
             [2] A. Vourc’h, M. Jimenez, Enhancing environmentally sustainable growth in Finland, in:
                OECD Economics Department Working Papers, No. 229, 2000, OECD Economics
                Department Working Papers, Finland, 2000.
             [3] L. Albright, Albright’s Chemical Engineering Handbook, CRC Press, 2008.
             [4] P.R. Are ´valo, Optimizacio ´n del disen ˜o y redisen ˜o de procesos qu´ ımicos complejos bajo
                 incertidumbre mediante cooperacio ´nde te ´cnicas de programacio ´n matem´ atica y meta-
                 heur´ ısticas, Universidad Polite ´cnica de Madrid, 2005.
             [5] N. Aversano, T. Temperini, El Calentamiento Global: Bonos de Carbono, una alternativa.
                 Modelizacio ´n y Simulacio ´n de Sistemas Econo ´micos, 2006. Available from: ,https://
                www.ingenieriaquimica.org/articulos/bonos_de_carbono..
             [6] A.K. Awopone, A.F. Zobaa, W. Banuenumah, Techno-economic and environmental anal-
                ysis of power generation expansion plan of Ghana, Energy Policy 104 (2017) 13 22.
                Available from: https://doi.org/10.1016/j.enpol.2017.01.034.
             [7] J.F. Bard, Short-term scheduling of thermal-electric generators using Lagrangian relaxa-
                tion, Oper. Res. 36 (5) (1988) 756 766.
             [8] M. Basu, A simulated annealing-based goal-attainment method for economic emission
                load dispatch of fixed head hydrothermal power systems, Int. J. Electr. Power Energy
                Syst. 27 (2) (2005) 147 153.
             [9] M. Basu, Dynamic economic emission dispatch using nondominated sorting genetic
                algorithm-II, Int. J. Electr. Power Energy Syst. 30 (2) (2008) 140 149.
            [10] M. Basu, Economic environmental dispatch using multi-objective differential evolution,
                Appl. Soft Comput. 11 (2) (2011) 2845 2853. Available from: https://dx.doi.org/10.1016/
                j.asoc.2010.11.014.
            [11] M. Basu, Fuel constrained economic emission dispatch using nondominated sorting
                genetic algorithm-II, Energy 78 (0) (2014) 649 664. Available from: https://dx.doi.org/
                10.1016/j.energy.2014.10.052.
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