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Advances of Science and Technology. 9th EAI International Conference, ICAST 2021, Hybrid Event, Bahir Dar, Ethiopia, August 27–29, 2021, Proceedings, Part II

Research Article

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

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  • @INPROCEEDINGS{10.1007/978-3-030-93712-6_35,
        author={Shewit Tsegaye and Fekadu Shewarega and Getachew Bekele},
        title={Artificial Intelligence Based Security Constrained Economic Dispatch of Ethiopian Renewable Energy Systems: A Comparative Study},
        proceedings={Advances of Science and Technology. 9th EAI International Conference, ICAST 2021, Hybrid Event, Bahir Dar, Ethiopia, August 27--29, 2021, Proceedings, Part II},
        proceedings_a={ICAST PART 2},
        year={2022},
        month={1},
        keywords={Hopfield neural networks Genetic algorithms Security constraints Economic dispatch Renewable energy systems Ethiopian power grid},
        doi={10.1007/978-3-030-93712-6_35}
    }
    
  • Shewit Tsegaye
    Fekadu Shewarega
    Getachew Bekele
    Year: 2022
    Artificial Intelligence Based Security Constrained Economic Dispatch of Ethiopian Renewable Energy Systems: A Comparative Study
    ICAST PART 2
    Springer
    DOI: 10.1007/978-3-030-93712-6_35
Shewit Tsegaye1, Fekadu Shewarega2, Getachew Bekele3
  • 1: Jimma University
  • 2: University of Duisburg-Essen
  • 3: Addis Ababa University

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.

Keywords
Hopfield neural networks Genetic algorithms Security constraints Economic dispatch Renewable energy systems Ethiopian power grid
Published
2022-01-01
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-93712-6_35
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