DocumentCode
3220100
Title
Optimal distributed generation allocation in MV distribution networks
Author
Celli, G. ; Pilo, F.
Author_Institution
Dept. of Electr. & Electron. Eng., Cagliari Univ., Italy
fYear
2001
fDate
2001
Firstpage
81
Lastpage
86
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Industry Computer Applications, 2001. PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
0-7803-6681-6
Type
conf
DOI
10.1109/PICA.2001.932323
Filename
932323
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