TY - GEN
T1 - Distributed Generation Insertion in Electrical Networks
T2 - 20th Workshop on Information Processing and Control, RPIC 2023
AU - Mazzoletti, Manuel A.
AU - Toledo, Eduardo J.
AU - Aguirre, Yonatan G.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This work presents a methodology applied to electrical distribution systems considering the Distributed Generation (DG) insertion in Misiones, Argentina. The proposed study aims to determine the maximum penetration level of DG in several distribution networks, without exceeding the technical quality limits specified by current regulations. First, the 13.2 kV distribution networks were modeled in the PowerFactory power system analysis software. Based on the radial standard network operation, different procedures and criteria for the location and sizing of the DG in all electrical nodes were proposed. The results show that for long feeders, the maximum insertion power levels of 1.44 MW and 0.73 MW were obtained for maximum and minimum power demand conditions, respectively. On the other hand, the insertion power increases up to 2.0 MW in short feeders of both maximum and minimum power demand conditions.
AB - This work presents a methodology applied to electrical distribution systems considering the Distributed Generation (DG) insertion in Misiones, Argentina. The proposed study aims to determine the maximum penetration level of DG in several distribution networks, without exceeding the technical quality limits specified by current regulations. First, the 13.2 kV distribution networks were modeled in the PowerFactory power system analysis software. Based on the radial standard network operation, different procedures and criteria for the location and sizing of the DG in all electrical nodes were proposed. The results show that for long feeders, the maximum insertion power levels of 1.44 MW and 0.73 MW were obtained for maximum and minimum power demand conditions, respectively. On the other hand, the insertion power increases up to 2.0 MW in short feeders of both maximum and minimum power demand conditions.
KW - Distributed generation
KW - electrical networks
KW - network models
UR - http://www.scopus.com/inward/record.url?scp=85194838158&partnerID=8YFLogxK
U2 - 10.1109/RPIC59053.2023.10530737
DO - 10.1109/RPIC59053.2023.10530737
M3 - Conference contribution
AN - SCOPUS:85194838158
T3 - 2023 20th Workshop on Information Processing and Control, RPIC 2023
BT - 2023 20th Workshop on Information Processing and Control, RPIC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 1 November 2023 through 3 November 2023
ER -