Artificial Neural Network Based Power Flow Analysis for Micro Grids

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Bitlis Eren University Journal of Science and Technology
Volume:5 Issue:1
Artificial Neural Network Based Power Flow Analysis for Micro Grids

Artificial Neural Network Based Power Flow Analysis for Micro Grids

Authors : Serhat Berat EFE, Mehmet CEBECİ

Pages : 42-47

Doi:10.17678/beujst.75539

View : 21 | Download : 15

Publication Date : 2015-06-22

Article Type : Research Paper

Abstract :This paper proposes a neural network based power flow analysis method that applied on a grid connected and ring-shaped micro grid. As the use of micro grids increasing rapidly, it becomes necessary to analyze them for different operating and loading conditions as large power systems. At the outset, a MG is designed and simulated under MATLAB / Simulink platform. Normal operation data collected and stored. Then, different loading scenarios performed, operational data collected and stored to use for proposed method. Intelligent systems are used to process these data and also for training. After training a fully different scenario is created and the effectiveness of the proposed method is verified through simulation study
Keywords : Artificial neural networks, micro grid, power flow analysis, renewable energy sources

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