- Bitlis Eren University Journal of Science and Technology
- Vol: 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 Cebeci
Pages : 42-47
Doi:10.17678/beujst.75539
View : 11 | Download : 5
Publication Date : 2015-06-22
Article Type : Other
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 studyKeywords : Artificial neural networks, micro grid, power flow analysis, renewable energy sources