PHOTOVOLTAIC POWER PLANT INSPECTION AND DIAGNOSTIC

Performance evaluation of first Iranian large scale photovoltaic power plant

In recent years, due to the fact that non-renewable energies come to an end, renewable energy is expected to provide a significant part of the future needs of Iran. Among these energies, solar energy is a suitable option for a wide range of the country, due to availability, proper radiation intensity, and high sunshine times during the year (about 300 sunny days per year). The purpose of this p...

Photovoltaic power plant power output prediction using fuzzy rules

Photovoltaic Power Plants (PVPP) are classified as a power energy sources with non-stabile supply of electric energy. It is necessary to back up power energy from PVPP for stabile electric network operation. We can set an optimal value of back up power energy with using variety of prediction models and methods for PVPP Power output prediction. Fuzzy classifiers and fuzzy rules can be informally...

Power Optimization, Diagnostic Monitoring, and Modeling of Photovoltaic System

Supervised Learning of Photovoltaic Power Plant Output Prediction Models

This article presents an application of evolutionary fuzzy rules to the modeling and prediction of power output of a real-world Photovoltaic Power Plant (PVPP). The method is compared to artificial neural networks and support vector regression that were also used to build predictors in order to analyse a time-series like data describing the production of the PVPP. The models of the PVPP are cre...

MagneBike: toward multi climbing robots for power plant inspection

An ever-growing infrastructure, including existing and newly built power plants, as well as a rising environmental awareness in society call for inspection and maintenance systems of high efficiency. A solution can be found in the development of mobile agents to provide assistive inspection tools with improved autonomy. In collaboration with industry the MagneBike robot for power plant inspecti...