Maximal optimal benefits of distributed generation using genetic algorithms

Recently, the distributed power generation (DG) takes more attention, because of the constraints on the traditional power generation besides the great development in the DG technologies. To accommodate this new type of generation, the existing network should be utilized and developed in an optimal m...

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Bibliographic Details
Published in:Electric power systems research 2010-07, Vol.80 (7), p.869-877
Main Authors: Abou El-Ela, A.A., Allam, S.M., Shatla, M.M.
Format: Article
Language:English
Subjects:
Applied sciences
DG definition
Distributed power generation
Electric power plants
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Genetic algorithm
Issues and benefits
Line flow reduction
Line-loss reduction
Linear programming
Miscellaneous
Operation. Load control. Reliability
Power networks and lines
Spinning reserve increasing
Voltage profile improvement
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Summary:Recently, the distributed power generation (DG) takes more attention, because of the constraints on the traditional power generation besides the great development in the DG technologies. 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 (OPA) to determine the optimal sitting and sizing of DG with multi-system constraints to achieve a single or multi-objectives using genetic algorithm (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. A real section of the West Delta sub-transmission network, as a part of Egypt network, is used to test the capability of the OPA. The results demonstrate that the proper sitting and sizing of DG are important to improve the voltage profile, increase the spinning reserve, reduce the power flows in critical lines and reduce the system power losses.
ISSN:0378-7796
1873-2046
DOI:10.1016/j.epsr.2009.12.021