Artificial Neural Network Based Power Flow Analysis for Micro Grids
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.
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