AN APPLICATION OF ENVIRONMENTAL ECONOMIC DISPATCH USING GENETIC ALGORITHM

AN APPLICATION OF ENVIRONMENTAL ECONOMIC DISPATCH USING GENETIC ALGORITHM

In the economic load dispatch, power plants are operated at minimum cost, but environmental pollution caused by fossil-fueled electric power plants is not considered. Therefore, new solution suggestions have come up due to the growing environmental problemsin recent years. One of these suggestions is environmental economic load dispatch which aims to both operations of plants at minimum cost and trying to minimize the amount of emissions. In this study, 6-generator system with three load demands 500, 700 and 900 MW is tested to solve environmental economic load dispatch problem. Genetic algorithm from heuristic optimization methods is preferred for this problem. The results which transmission losses are considered are compared with the other studies in the literature. These results show the effectiveness and superiority of the method over economy and reduction of the emission

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  • Bhattacharya A. & Chattopadhyay P.K . (2011). Solving economic emission load dispatch problems using hybrid differential evolution. (pp.2526-2537). Applied Soft Computing 11.
  • Güvenç U., Sönmez Y., Duman S., & Yörükeren N. . (2012). Combined economic and emission dispatch solution gravitational search algorithm (pp.1754-1762). Scientia Irenica, Transactions D: Computer Science & Engineering and Electrical Engineering 19(6).
  • Kulkarni P.S., Kothari A.G., & Kothari D.P. (2000). Combined economic and emission dispatch using improved backpropagation neural network (pp.31-44). Electr. Power Compon. Sys. 28.
  • Pandit M., Srivastava L., & Sharma M. (2015). Environmental economic dispatch in multi-area power system employing improved differential evolution with fuzzy selection. (pp.498-510). Applied Soft Computing 28.
  • Roy P.K., Ghoshal S.P., & Thakur S.S (2010). Combined economic and emission dispatch problems using biogeography-based optimization. (pp. 173-184). Electr. Eng 92.
  • Rughooputh H.C.S., & Ah King R.T.F. (2003). Environmental/economic dispatch of thermal units using an elitist multiobjective evolutionary algorithm (pp. 48-53). ICIT Maribor, Slovenia, IEEE conference.
  • Sivasubramani S. & Swarup K.S. (2011). Environmental/economic dispatch using multi-objective harmony search algorithm (pp. 1778-1785). Electric Power Systems Research 81.
  • Song Y.H., Wang G.S., Wang P.Y., & Johns A.T. (1997). Environmental/economic dispatch using fuzzy logic controlled genetic algorithms (pp. 377-382). IEE Proc. Gener. Transm. Distrib. 144(4)