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AN APPLICATION OF ENVIRONMENTAL ECONOMIC DISPATCH USING GENETIC ALGORITHM

Year 2016, Volume: 6 Issue: 1, 1 - 4, 23.07.2016

Abstract

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

References

  • 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)
Year 2016, Volume: 6 Issue: 1, 1 - 4, 23.07.2016

Abstract

References

  • 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)
There are 8 citations in total.

Details

Other ID JA56CD64NG
Journal Section Articles
Authors

Özge Pınar Arslan This is me

Yağmur Arıkan This is me

Ertuğrul Çam This is me

İbrahim Eke This is me

Publication Date July 23, 2016
Published in Issue Year 2016 Volume: 6 Issue: 1

Cite

APA Arslan, Ö. P., Arıkan, Y., Çam, E., Eke, İ. (2016). AN APPLICATION OF ENVIRONMENTAL ECONOMIC DISPATCH USING GENETIC ALGORITHM. TOJSAT, 6(1), 1-4.
AMA Arslan ÖP, Arıkan Y, Çam E, Eke İ. AN APPLICATION OF ENVIRONMENTAL ECONOMIC DISPATCH USING GENETIC ALGORITHM. TOJSAT. July 2016;6(1):1-4.
Chicago Arslan, Özge Pınar, Yağmur Arıkan, Ertuğrul Çam, and İbrahim Eke. “AN APPLICATION OF ENVIRONMENTAL ECONOMIC DISPATCH USING GENETIC ALGORITHM”. TOJSAT 6, no. 1 (July 2016): 1-4.
EndNote Arslan ÖP, Arıkan Y, Çam E, Eke İ (July 1, 2016) AN APPLICATION OF ENVIRONMENTAL ECONOMIC DISPATCH USING GENETIC ALGORITHM. TOJSAT 6 1 1–4.
IEEE Ö. P. Arslan, Y. Arıkan, E. Çam, and İ. Eke, “AN APPLICATION OF ENVIRONMENTAL ECONOMIC DISPATCH USING GENETIC ALGORITHM”, TOJSAT, vol. 6, no. 1, pp. 1–4, 2016.
ISNAD Arslan, Özge Pınar et al. “AN APPLICATION OF ENVIRONMENTAL ECONOMIC DISPATCH USING GENETIC ALGORITHM”. TOJSAT 6/1 (July 2016), 1-4.
JAMA Arslan ÖP, Arıkan Y, Çam E, Eke İ. AN APPLICATION OF ENVIRONMENTAL ECONOMIC DISPATCH USING GENETIC ALGORITHM. TOJSAT. 2016;6:1–4.
MLA Arslan, Özge Pınar et al. “AN APPLICATION OF ENVIRONMENTAL ECONOMIC DISPATCH USING GENETIC ALGORITHM”. TOJSAT, vol. 6, no. 1, 2016, pp. 1-4.
Vancouver Arslan ÖP, Arıkan Y, Çam E, Eke İ. AN APPLICATION OF ENVIRONMENTAL ECONOMIC DISPATCH USING GENETIC ALGORITHM. TOJSAT. 2016;6(1):1-4.