An Intelligent Faults Diagnosis and Detection Method Based an Artificial Neural Networks for Photovoltaic Array

摘要: At present, renewable energy has many sources, most important of which are PV systems. It is therefore necessary to contribute the diagnosis state photovoltaic system and detection malfunction. And identify resolve failures in systems as quickly possible, so that will operate at expected levels performance reliability, thereby ensuring return on investment. This article proposes modeling, classification faults by Artificial neural network: ANN using measured values voltage (v) current (I). The method allows into several possible situations: normal operation some different faults, modeling or simulations MatLab. proved be able detect array accurately efficiently.