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| Design of a Supervisor of Electric Power Generation Units by a Multivariable Neural System |
G. Ramanantena, Yvon. D. Andrianaharison
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Abstract:
: In the recent years, fuzzy logic supervisor has been used widely for hybrid electric power generation units connected to the power systems or isolated. In this paper, we create a supervision based on the artificial neural networks. This supervisor coordinates the operation of the electric power generation units connected to the interconnected power system. These units consist of a Diesel power plants and three hydroelectric power plants. In real-time, this supervisor provides the reference powers to the electric power generation units connected to the interconnected power system. The results obtained, using the simulation, show us that the artificial neural network supervisor's performance are satisfactory.
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