TY - JOUR
T1 - Optimal Integration of Distributed Generation in Long Medium-Voltage Electrical Networks
AU - Ortega Romero, Isaac
AU - Serrano Guerrero, Xavier
AU - Barragán Escandón, Antonio
AU - Ochoa Malhaber, Chistopher
N1 - Publisher Copyright:
© 2023 The Author(s)
PY - 2023/11
Y1 - 2023/11
N2 - The integration of small-scale renewable energy has demonstrated a considerable impact on distribution systems, mitigating power losses and enhancing system reliability. This article proposes a methodology for identifying the optimal locations of distributed generation units along a long medium- voltage electrical network, in order to, minimize energy losses, improve voltage levels, and facilitate the planning of the electrical distribution system. Utilizing existing distribution system data in ArcGIS, load flow analysis was conducted using the unbalanced Newton-Raphson method within the CYME simulation software. Through the Power Loss Index method and the Flower Pollination Algorithm, this study identified the optimal locations and power levels for distributed generation units within the feeder. The results of various study scenarios indicate that placing one or multiple distributed generation units along the long feeder reduces total power losses and improves voltage level. In particular, the incorporation of distributed generation units led to a 39.62% reduction in active energy losses and a 41.88% reduction in reactive energy losses. Furthermore, the voltage profile was improved compared to the base case.
AB - The integration of small-scale renewable energy has demonstrated a considerable impact on distribution systems, mitigating power losses and enhancing system reliability. This article proposes a methodology for identifying the optimal locations of distributed generation units along a long medium- voltage electrical network, in order to, minimize energy losses, improve voltage levels, and facilitate the planning of the electrical distribution system. Utilizing existing distribution system data in ArcGIS, load flow analysis was conducted using the unbalanced Newton-Raphson method within the CYME simulation software. Through the Power Loss Index method and the Flower Pollination Algorithm, this study identified the optimal locations and power levels for distributed generation units within the feeder. The results of various study scenarios indicate that placing one or multiple distributed generation units along the long feeder reduces total power losses and improves voltage level. In particular, the incorporation of distributed generation units led to a 39.62% reduction in active energy losses and a 41.88% reduction in reactive energy losses. Furthermore, the voltage profile was improved compared to the base case.
KW - Distributed generation
KW - Electrical distribution systems
KW - Long medium voltage
UR - http://www.scopus.com/inward/record.url?scp=85173009769&partnerID=8YFLogxK
U2 - 10.1016/j.egyr.2023.09.057
DO - 10.1016/j.egyr.2023.09.057
M3 - Review article
AN - SCOPUS:85173009769
SN - 2352-4847
VL - 10
SP - 2865
EP - 2879
JO - Energy Reports
JF - Energy Reports
ER -