Name
Abstract | ||
|---|---|---|
It is well known that in a photovoltaic (PV) plant, the modules are connected to switch-mode power converters to enhance the power output in every environmental condition. This task is performed by the maximum power point tracker (MPPT), which provides a current or voltage reference to the converter. Traditional perturb and observe or incremental conductance algorithms are not efficient in rapidly changing conditions, whereas a model-based (MB) MPPT offers a better dynamic performance. Because it is relatively easy to obtain an accurate model of a single PV panel, thus predicting the maximum power point voltage for given environmental conditions, MB MPPTs seemed to be attractive for employing in module integrated converters. Conventional MB MPPT algorithms, however, usually require an expensive pyranometer to properly operate. In this paper, starting from a new set of equations modeling a PV module, a novel MB MPPT technique, which does not require the direct measurement of the solar radiation, is proposed and experimentally validated. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TIM.2013.2277579 | Instrumentation and Measurement, IEEE Transactions |
Keywords | Field | DocType |
maximum power point trackers,photovoltaic power systems,power convertors,solar cells,environmental condition,incremental conductance algorithms,maximum power point tracker,module integrated converters,photovoltaic panels,photovoltaic plant,set of equations,solar radiation,switch-mode power converters,Energy efficiency,modeling,parameter estimation,photovoltaic (PV) cells,solar energy | Grid-connected photovoltaic power system,Nominal power (photovoltaic),Control theory,Voltage reference,Solar micro-inverter,Maximum power point tracking,Electronic engineering,Control engineering,Power module,Power optimizer,Photovoltaic system,Mathematics | Journal |
Volume | Issue | ISSN |
63 | 1 | 0018-9456 |
Citations | PageRank | References |
6 | 0.65 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Loredana Cristaldi | 1 | 45 | 14.08 |
| Marco Faifer | 2 | 70 | 19.71 |
| Marco Rossi | 3 | 15 | 3.32 |
| Sergio Toscani | 4 | 64 | 20.60 |