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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Nadakuditi, G., Mohan Rao, U., Bathina, V., & Pandi, S. (2018). Economic load dispatch in microgrids using real-coded genetic algorithm. In Advances in Intelligent Systems and Computing (Vol. 758, pp. 377–386). Springer Verlag. https://doi.org/10.1007/978-981-13-0514-6_38

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