Smart Grids Simulation Tools: Overview and Recommendations

Sigurðsson, Grétar Áss; Abdel-Fattah, Mohamed F.

doi:10.1109/rtucon53541.2021.9711583

Cited by 2 publications

(2 citation statements)

References 26 publications

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“…2 However, simulation result with these tools highly depend on the quality and availability of network data (location and capacity of distribution transformers, capacitors and DERs, as well as type, material, size, and length of conductors, etc.) [13], and the necessary work to translate (clean, fix, aggregate or remove incorrect, corrupted, incorrectly formatted, duplicated, or incomplete) data within the GIS network to the respective power flow simulation tools is not only arduous, but often requires third party commercial software packages [14] that needs licensing, and that do not allow access to the source code to change or add any functionalities and new algorithms from users.…”

Section: Introductionmentioning

confidence: 99%

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

De Jesús-Grullón,

Batista Jorge,

Espinal Serrata

et al. 2024

Preprint

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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.

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Section: Introductionmentioning

confidence: 99%

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

De Jesús-Grullón,

Batista Jorge,

Espinal Serrata

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…[13], and the necessary work to translate (clean, fix, aggregate or remove incorrect, corrupted, incorrectly formatted, duplicated, or incomplete) data within the GIS network to the respective power flow. Simulation tool use is not only arduous, but often requires third party commercial software packages [14] that need licensing, and that do not allow access to the source code to change or add any functionalities and new algorithms from users.…”

Section: Introductionmentioning

confidence: 99%

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

De-Jesús-Grullón,

Batista Jorge,

Espinal Serrata

et al. 2024

Energies

View full text Add to dashboard Cite

There are important challenges in modeling large electrical distribution circuits, especially with the presence of distributed renewable generation. Constructing simulations to assess 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. The integration of this open-source tool within the DNO software stack enables users to apply it according to specific project needs, enhancing their capability to analyze and manage high DER penetration levels, aiding in better planning, operation, and decision-making processes related to renewable energy projects.

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Smart Grids Simulation Tools: Overview and Recommendations

Cited by 2 publications

References 26 publications

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

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

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

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