Abstract :
The necessity for flexible electric systems, changing regulatory and economic scenarios, energy savings and environmental impact are providing impetus to the development of distributed generation (DG), which is predicted to play an increasing role in the electric power system of the future. With so much new distributed generation being installed, it is critical that the power system impacts be assessed accurately so that DG can be applied in a manner that avoids causing degradation of power quality, reliability and control of the utility system. For these reasons, the paper proposes a new software procedure, based on a genetic algorithm, capable of establishing the optimal distributed generation allocation on an existing MV distribution network, considering all the technical constraints, like feeder capacity limits, feeder voltage profile and three-phase short circuit current in the network nodes
Keywords :
genetic algorithms; power distribution planning; power generation scheduling; short-circuit currents; MV distribution networks; economic scenarios; energy savings; environmental impact; feeder capacity limits; feeder voltage profile; flexible electric systems; genetic algorithm; network planning; optimal distributed generation allocation; power quality; three-phase short circuit current; utility system control; Degradation; Distributed control; Economic forecasting; Environmental economics; Power generation economics; Power quality; Power system control; Power system economics; Power system reliability; Power systems;