Abstract
The distribution network have a very weakly meshed reconfiguration, with loops between different source stations, but the operation is carried out via a tree-based reconfiguration. This reconfiguration is determined by the opening and closing of switches in order to minimize the total power losses taking account the technical, security and topological distribution network constraints. In this paper, a Genetic Algorithm (GA) method based on graphs theory is proposed to design an optimal reconfiguration in presence of a photovoltaic based Distributed Generation source. The proposed method is tested on IEEE distribution network (69 bus) and validated on Algerian distribution network (116 bus). The proposed method was developed under MATLAB software. Certain results are better then others papers viewpoint active losses.
M. Mosbah—Engineer Operating in Company of Algerian Distribution of Electricity and Gas.
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Mosbah, M., Arif, S., Mohammedi, R.D., Oudjana, S.H. (2019). A Genetic Algorithm Method for Optimal Distribution Reconfiguration Considering Photovoltaic Based DG Source in Smart Grid. In: Hatti, M. (eds) Renewable Energy for Smart and Sustainable Cities. ICAIRES 2018. Lecture Notes in Networks and Systems, vol 62. Springer, Cham. https://doi.org/10.1007/978-3-030-04789-4_18
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DOI: https://doi.org/10.1007/978-3-030-04789-4_18
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