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Economic Load Dispatch in Microgrids Using Real-Coded Genetic Algorithm

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Abstract

This paper proposes a simple and heuristic-based solution method for solving economic load dispatch (ELD) in an islanded mode of microgrid. The economic dispatch for different combination of conventional and nonconventional sources is performed by using real-valued genetic algorithm (GA). This paper compares the total power generation cost for different combination of sources. Further, it considers the solar renewable energy credits (REC), provided by the government to encourage the usage of renewable energy sources in order to reduce the emission pollutants and to overcome the fuel availability problems. Thus, results show the integration of renewable sources and simultaneous consideration of solar credits gives more profit to the microgrid.

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References

  1. Gouthamkumar, N., Sharma, V., Naresh, R.: Disruption based gravitational search algorithm for short term hydrothermal scheduling. Exp. Syst. Appl. 42, 7000–7011 (2015)

    Article  Google Scholar 

  2. Ahn, S.J., Moon, S.I.: Economic scheduling of distributed generators in a microgrid considering various constraints. In: IEEE Power and Energy Society General Meeting, Calgary, AB, July 2009

    Google Scholar 

  3. Gouthamkumar, N., Sharma, V., Naresh, R.: Application of nondominated sorting gravitational search algorithm with disruption operator for stochastic multiobjective short term hydrothermal scheduling. IET Gener. Transm. Distrib. 10, 862–872 (2016)

    Article  Google Scholar 

  4. Tong, W.: Wind Power Generation and Wind Turbine Design. WIT press, Hand book (2010)

    Google Scholar 

  5. Noel, A., Sindhu, S., Prajakta, M., Kashif, S.: Economic dispatch for a microgrid considering renewable energy cost functions. In: IEEE PES Innovative Smart Grid Technologies (ISGT), Washington, DC, Jan 2012

    Google Scholar 

  6. Norberto, F., Yosune, S., Morcos, R., Carlos, M., Cesar, D.: The use cost-generation curves for the analysis of wind electricity costs in Spain. Appl. Energy 88, 733–740 (2011)

    Article  Google Scholar 

  7. Kaur, A., Singh, H.P., Bharadwaj, A.: Analysis of economic load dispatch using genetic algorithm. Int. J. Appl. Innov. Eng. Manag. 3, 240–246 (2014)

    Google Scholar 

  8. Venkateswarao, B., Nageshkumar, G.V.: A comparative study of bat and firefly algorithms for optimal placement and sizing of static var compensator for enhancement of voltage stability. Int. Energy Optim. Engine. 4, 68–84 (2015)

    Google Scholar 

  9. Chen, P.H., Chang, H.C.: Large scale economic dispatch by genetic algorithm. IEEE Trans. Power Syst. 10, 1919–1926 (1995)

    Article  Google Scholar 

  10. Venkateswarao, B., Nageshkumar, G.V.: Optimal location of thyristor controlled series capacitor to enhance power transfer capability using firefly algorithm. Elec. Power Comp. Syst. 42, 1541–1552 (2014)

    Article  Google Scholar 

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Correspondence to U. Mohan Rao .

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Nadakuditi, G., Mohan Rao, U., Bathina, V., Pandi, S. (2019). Economic Load Dispatch in Microgrids Using Real-Coded Genetic Algorithm. In: Nayak, J., Abraham, A., Krishna, B., Chandra Sekhar, G., Das, A. (eds) Soft Computing in Data Analytics . Advances in Intelligent Systems and Computing, vol 758. Springer, Singapore. https://doi.org/10.1007/978-981-13-0514-6_38

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