Planning of a Resilient Underground Distribution Network Using Georeferenced Data

Alex Valenzuela, Esteban Inga and Silvio Simani
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Alex Valenzuela: Electrical Engineering, Universidad Poliécnica Salesiana, Quito EC170146, Ecuador
Esteban Inga: Electrical Engineering, Universidad Poliécnica Salesiana, Quito EC170146, Ecuador
Silvio Simani: Department of Engineering, University of Ferrara, 44121 Ferrara, Italy

Energies, 2019, vol. 12, issue 4, 1-20

Abstract: This study describes a practical methodology for a resilient planning and routing of power distribution networks considering real scenarios based on georeferenced data. Customers’ demand and their location are the basis for distribution transformer allocation considering the minimal construction costs and reduction of utility’s budget. MST (Minimum Spanning Tree) techniques are implemented to determine the optimal location of distribution transformers and Medium voltage network routing. Additionally, the allocation of tie points is determined to minimise the total load shedding when unusual and extreme events are faced by the distribution grid, improving reliability and resilience reducing downtime during those events. The proposed methodology provides a coverage of 100%, supplying electricity to the totality of customers within statutory limits during normal and unusual conditions.

Keywords: distribution network planning; RMU allocation; resilience; routing; MST techniques (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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