Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Modeling and Simulation of Distribution Networks with High Renewable Penetration in Open-Source Software: QGIS and OpenDSS

Version 1 : Received: 3 May 2024 / Approved: 7 May 2024 / Online: 7 May 2024 (08:17:46 CEST)

How to cite: De Jesús-Grullón, R.; Batista Jorge, R. O.; Espinal Serrata, A.; Bueno Díaz, J. E.; Pichardo Estévez, J. J.; Guerrero-Rodríguez, N. F. Modeling and Simulation of Distribution Networks with High Renewable Penetration in Open-Source Software: QGIS and OpenDSS. Preprints 2024, 2024050331. https://doi.org/10.20944/preprints202405.0331.v1 De Jesús-Grullón, R.; Batista Jorge, R. O.; Espinal Serrata, A.; Bueno Díaz, J. E.; Pichardo Estévez, J. J.; Guerrero-Rodríguez, N. F. Modeling and Simulation of Distribution Networks with High Renewable Penetration in Open-Source Software: QGIS and OpenDSS. Preprints 2024, 2024050331. https://doi.org/10.20944/preprints202405.0331.v1

Abstract

There are important challenges for modeling large electrical distribution circuits, even more with the presence of distributed renewable generation. Constructing simulations for assessing the effect of the penetration of distributed generation on electrical distribution networks has become of great importance for Distribution Network Operators (DNOs). This paper proposes a simulation strategy based on open-source platforms and the integration of scripting tools for the rapid modeling of large-scale electrical distribution circuits with distributed renewable generation. The implementation is based on the adaptation of a tool called QGIS2OpenDSS, which creates OpenDSS distribution network models directly from an open-source geographic information system, QGIS. The plugin’s capabilities are demonstrated using a real distribution feeder with more than 60% penetration of renewable generation based on photovoltaic systems. These simulations are carried out using real data from a circuit provided by a DNO in the Dominican Republic, which is used to demonstrate how this approach provides a more accessible and flexible way to simulate and assess the effect of Distributed Energy Resources (DERs) in Medium Voltage (MV) and Low Voltage (LV) networks, enabling utilities to evaluate system performance and identify potential issues.

Keywords

Distribution Network Modelling; Power Systems; Renewable Penetration; Distributed Generation; Geographic Information Systems; OpenDSS

Subject

Engineering, Electrical and Electronic Engineering

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