Synthetic Models of Distribution Networks Based on Open Data and Georeferenced Information

Giuditta Pisano, Nayeem Chowdhury, Massimiliano Coppo, Nicola Natale, Giacomo Petretto, Gian Giuseppe Soma, Roberto Turri and Fabrizio Pilo
Additional contact information
Giuditta Pisano: Department of Electrical and Electronic Engineering, University of Cagliari, 09100 Cagliari, Italy
Nayeem Chowdhury: Department of Electrical and Electronic Engineering, University of Cagliari, 09100 Cagliari, Italy
Massimiliano Coppo: Department of Industrial Engineering, University of Padova, 35131 Padova, Italy
Nicola Natale: Department of Electrical and Electronic Engineering, University of Cagliari, 09100 Cagliari, Italy
Giacomo Petretto: Enel Produzione Società per Azioni (S.p.A), 56122 Pisa, Italy
Gian Giuseppe Soma: Department of Electrical and Electronic Engineering, University of Cagliari, 09100 Cagliari, Italy
Roberto Turri: Department of Industrial Engineering, University of Padova, 35131 Padova, Italy
Fabrizio Pilo: Department of Electrical and Electronic Engineering, University of Cagliari, 09100 Cagliari, Italy

Energies, 2019, vol. 12, issue 23, 1-24

Abstract: Many planning and operation studies that aim at fully assessing and optimizing the performance of the distribution grids, in response to the current trends, cannot ignore grid limitations. Modelling the distribution system, by including the electrical characteristics of the network (e.g., topology) and end user behaviors, has become complex, but essential, for all conventional and emerging actors/players of power systems (i.e., system and market operators, regulators, new market parties as service providers, aggregators, researchers, etc.). This paper deals with a methodology that, starting from publicly available open data on the energy consumption of a region or wider area, is capable to obtain reasonable load and generation profiles for the network supplied by each primary substation in the region/area. Furthermore, by combining these profiles with territorial and socio-economic information, the proposed methodology is able to model the network in terms of lines, conductors, loads and generators. The results of this procedure are the synthetic networks of the real distribution networks, that do not correspond exactly to the actual networks, but can characterize them in a realistic way. Such models can be used for all the kind of optimization studies that need to check the grid limitations. Results derived from Italian test cases are presented and discussed.

Keywords: modelling; synthetic networks; distribution networks; distributed generation; renewable energy sources; representative distribution networks; open data (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 (4)

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