As a result of the renewed interest for the distributed power generation (DG); meanly because of
the constraints on the traditional power generation besides the great development in the DG
technologies, increasing amounts of DG are being used. To accommodate this new type of
generation, the existing network should be utilized and developed in an optimal manner. This
paper presents an optimal proposed approach to determine the optimal sitting and sizing of DG
with multi-system constraints to achieve a single or multi-objectives using genetic algorism (GA).
The Linear Programming (LP) is used not only to confirm the optimization results obtained by GA
but also to investigate the influences of varying ratings and locations of DG on the objective
functions. The methodology is implemented and tested on a real section of the West Delta sub‌transmission network, as a part of Egypt network. Results are presented, demonstrating that the
proper sitting and sizing of DG are important to improve the voltage profile, increase the spinning
reserve, reduce the power flow in critical lines and reduce the system power losses