Partial shading conditions for photovoltaic system using artificial neural networks technique

Partial shading condition in solar photovoltaic (PV) systems is an inevitable problem due to the behavior of high nonlinear and unpredictable characteristics different states. However, several scientific works research aimed find approximate expressive models this using modern methods techniques allow researchers effective solutions these critical situations. This paper aims obtain appropriate model for partial cases artificial intelligence through machine learning neural network technology, based on experimental data PV cases. allows diagnosing state faults systems. Moreover, it development algorithms order maintain, perform, prevent complete shutdown All results situations process confirm effectiveness adopted technique after comparing with real a very acceptable margin error.