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Artificial Intelligence Based Security Constrained Economic Dispatch of Ethiopian Renewable Energy Systems: A Comparative Study

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Advances of Science and Technology (ICAST 2021)

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Abstract

In this study, a comparison of two artificial intelligence inspired solution methods employed to solve Security Constrained Economic Dispatch (SCED) of Ethiopian Renewable Energy Systems (ERES) is presented. The solution methods are Efficient & Parallel Genetic Algorithm (EPGA) and Hopfield Neural Network (HNN). This paper argues that employing intelligent SCED that considers power mismatch and intermittency of renewables can solve ERES’s recursive blackouts. A simulation was conducted on MATLAB. According to the results, both solution methods provide the best solutions for their respective purposes. For providing accurate forecast & predictive control of intermittent generation, it is imperative to employ HNN. When obtaining global maxima of multi-objective function is required, it is recommended to employ EPGA. Generally, employing intelligent SCED is a key planning step in adopting smarter grids as it reduces the production cost and the number of blackouts while increasing the security level of ERES.

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Author information

Authors and Affiliations

  1. Jimma University, 378, Jimma, Ethiopia

    Shewit Tsegaye

  2. University of Duisburg-Essen, 47057, Duisburg, Germany

    Fekadu Shewarega

  3. Addis Ababa University, 385, Addis Ababa, Ethiopia

    Getachew Bekele

Authors
  1. Shewit Tsegaye
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  2. Fekadu Shewarega
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  3. Getachew Bekele
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Editor information

Editors and Affiliations

  1. Bahir Dar Institute of Technology, Faculty of Civil and Water Resource Engineering, Bahir Dar University, Bahir Dar, Ethiopia

    Mulatu Liyew Berihun

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Tsegaye, S., Shewarega, F., Bekele, G. (2022). Artificial Intelligence Based Security Constrained Economic Dispatch of Ethiopian Renewable Energy Systems: A Comparative Study. In: Berihun, M.L. (eds) Advances of Science and Technology. ICAST 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 412. Springer, Cham. https://doi.org/10.1007/978-3-030-93712-6_35

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  • DOI: https://doi.org/10.1007/978-3-030-93712-6_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-93711-9

  • Online ISBN: 978-3-030-93712-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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