TY - GEN
T1 - A Computational Platform to Assess the Integration of Renewable Distributed Generation in Chile
AU - Pérez, Ignacio
AU - Severino, Bernardo
AU - Gutierrez-Lagos, Luis
AU - Olivares, Daniel
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Chile enjoys one of the largest solar irradiance levels globally. Although large-scale photovoltaic (PV) plants have flourished, the integration of medium-scale PV plants in medium-voltage (MV) distribution networks, only account for a quarter of Chile's installed PV capacity. One of the main barriers for its deployment is the sluggish connection assessment process. To breach the gap, this paper presents a computational platform, VisionDERRED, that leverages the capabilities of open-source software Julia and OpenDSS, for the connection assessment of distributed generation (DG) projects to MV networks, following specific regulations from Chile. This contributes not only to automating the connection assessment process, but also by enabling finding the theoretical maximum admissible DG size per MV node. This allows building a nodal hosting capacity map, useful for project developers and policy makers. The capabilities of the platform are demonstrated in a real MV feeder case study in Osorno, Chile.
AB - Chile enjoys one of the largest solar irradiance levels globally. Although large-scale photovoltaic (PV) plants have flourished, the integration of medium-scale PV plants in medium-voltage (MV) distribution networks, only account for a quarter of Chile's installed PV capacity. One of the main barriers for its deployment is the sluggish connection assessment process. To breach the gap, this paper presents a computational platform, VisionDERRED, that leverages the capabilities of open-source software Julia and OpenDSS, for the connection assessment of distributed generation (DG) projects to MV networks, following specific regulations from Chile. This contributes not only to automating the connection assessment process, but also by enabling finding the theoretical maximum admissible DG size per MV node. This allows building a nodal hosting capacity map, useful for project developers and policy makers. The capabilities of the platform are demonstrated in a real MV feeder case study in Osorno, Chile.
KW - Computational Platform
KW - Connection Assessment
KW - Distributed Generation
KW - Distribution Networks
KW - Hosting Capacity
UR - http://www.scopus.com/inward/record.url?scp=86000018794&partnerID=8YFLogxK
U2 - 10.1109/ISGTEUROPE62998.2024.10863501
DO - 10.1109/ISGTEUROPE62998.2024.10863501
M3 - Conference contribution
AN - SCOPUS:86000018794
T3 - IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024
BT - IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024
A2 - Holjevac, Ninoslav
A2 - Baskarad, Tomislav
A2 - Zidar, Matija
A2 - Kuzle, Igor
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024
Y2 - 14 October 2024 through 17 October 2024
ER -