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Advisor(s)
Abstract(s)
Energy management in the microgrid system is generally formulated as an optimization problem. This paper focuses on the design of a distributed energy management system for the optimal operation of
the microgrid using linear and nonlinear optimization methods. Energy
management is defined as an optimal scheduling power flow problem.
Furthermore, a technical-economic and environmental study is adopted
to illustrate the impact of energy exchange between the microgrid and
the main grid by applying two management scenarios. Nevertheless, the
fluctuating effect of renewable resources especially wind, makes optimal
scheduling difficult. To increase the results reliability of the energy management system, a wind forecasting model based on the artificial intelligence of neural networks is proposed. The simulation results showed the
reliability of the forecasting model as well as the comparison between
the accuracy of optimization methods to choose the most appropriate
algorithm that ensures optimal scheduling of the microgrid generators
in the two proposed energy management scenarios allowing to prove the
interest of the bi-directionality between the microgrid and the main grid.
Description
Keywords
Microgrid Energy management system Optimization algorithms Set-points Wind forcasting Artificial neural network
Citation
Amoura, Yahia Pereira, Ana I. Lima, José (2021). Optimization methods for energy management in a microgrid system considering wind uncertainty data. In International Conference on Communication and Computational. p. 117 - 141