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Research Article

Probabilistic Design of Distribution & Reticulation Systems juxtaposed with Traditional Design Software

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  • @INPROCEEDINGS{10.4108/eai.20-6-2017.2271003,
        author={Edward Chikuni and S Arendse and O Okoro and C Awah},
        title={Probabilistic Design of Distribution \& Reticulation Systems juxtaposed with Traditional Design Software},
        proceedings={EAI International Conference for Research, Innovation and Development for Africa},
        publisher={EAI},
        proceedings_a={ACRID},
        year={2018},
        month={4},
        keywords={low voltage; medium voltage design; herman-beta method; distribution system and residential development design system reliability},
        doi={10.4108/eai.20-6-2017.2271003}
    }
    
  • Edward Chikuni
    S Arendse
    O Okoro
    C Awah
    Year: 2018
    Probabilistic Design of Distribution & Reticulation Systems juxtaposed with Traditional Design Software
    ACRID
    EAI
    DOI: 10.4108/eai.20-6-2017.2271003
Edward Chikuni1,*, S Arendse2, O Okoro3, C Awah3
  • 1: University of Zimbabwe, Zimbabwe
  • 2: City of Cape Town, South Africa
  • 3: Michael Okpara University of Agriculture, Nigeria
*Contact email: chikuni@yahoo.com

Abstract

A residential development design using the Herman Beta method based on a widely used software package ReticMaster for low voltage and DIgSILENT for medium voltage (which is also used for more complex analysis and higher voltage design). The design was done to meet the requirement according to National Energy Regulator of South Africa (NERSA) standards. Cost comparisons were carried to determine materials best suited for the design. The Herman-Beta method is a departure from other probabilistic methods, in particular those based on Gaussian assumption. It applies to the South African distribution systems which have less customers per distribution point, typically less than 30 [2].

Keywords
low voltage; medium voltage design; herman-beta method; distribution system and residential development design system reliability
Published
2018-04-06
Publisher
EAI
http://dx.doi.org/10.4108/eai.20-6-2017.2271003
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