TY - EJOUR
AU - Shahgholiyan, Ghazanfar
AU - Heidari, MohamadAmin
AU - Mahdavi, Mehdi
PY - 2024
DA - February
TI - Optimum Distribution Generator Placement in Power Distribution System Using Ant Colony Algorithm
T2 - Majlesi Journal of Electrical Engineering
VL - 3
L1 - https://oiccpress.com/Majlesi-Journal-of-Electrical-Engineering/article/optimum-distribution-generator-placement-in-power-distribution-system-using-ant-colony-algorithm/
DO - 10.1234/mjee.v3i1.184
N2 - The recent development in renewable energy systems and the high demand for having clean and low cost energy sources encourage people to use distributed generator (DG) systems. Proper addition and placement of DG units can increase reliability and reduce the loss and production cost. In this paper using Ant Colony method, we developed an optimum placing scheme for DGs. The proposed method is tested on an IEEE 34-shinhe system. Results show that if DGs are able to generate active power, their effectiveness will increase.
IS - 1
PB - OICC Press
KW - Ant colony optimization, Power summation method, Loss reduction, Distributed generation allocation 
EN -