The growth in the system load accompanied by an increase of power loss in
the distribution system. Distributed generation (DG) is an important identity in the electric
power sector that substantially overcomes power loss and voltage drop problems when it
is coordinated with a location and size properly. In this study, the DG integration into
the network is optimally distributed by considering the load conditions in different load
models used to surmount the impact of load growth. There are five load models tested
namely constant, residential, industrial, commercial and mixed loads. The growth of the
electrical load is modeled for the base year up to the fifth year as a short-term plan.
Minimization of system power loss is taken as the main objective function considering
voltage limits. Determination of the location and size of DG is optimally done by using
the breeder genetic algorithm (BGA). The proposed studies were applied to the IEEE 30
radial distribution system with single and multiple placement DG scenarios. The results
indicated that installing an optimal location and size DG could have a strong potential to
reduce power loss and to secure future energy demand of load models. Also, commercial
load requires the largest DG active injection power to maintain the voltage value within
tolerable limits up to five years.
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