Photovoltaic Module Parametric Identification
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | 2019 International Conference on Clean Electrical Power (ICCEP) |
| Publisher | IEEE |
| Pages | 302-305 |
| Number of pages | 4 |
| ISBN (Electronic) | 978-1-7281-1356-2 |
| ISBN (Print) | 978-1-7281-1357-9 |
| DOIs | |
| Publication status | Published - 4 Nov 2019 |
| Publication type | A4 Article in a conference publication |
| Event | International Conference on Clean Electrical Power - Duration: 1 Jan 1900 → … |
Publication series
| Name | International Conference on Clean Electrical Power |
|---|---|
| ISSN (Print) | 2471-6189 |
| ISSN (Electronic) | 2474-9664 |
Conference
| Conference | International Conference on Clean Electrical Power |
|---|---|
| Period | 1/01/00 → … |
Abstract
Photovoltaic modules parametric identification is often performed based on data available in the data sheet and referred to standard test conditions. On-line identification is trickier when irradiance and temperature sensors are not available. In this paper, an identification procedure is presented aiming to identify some module fault conditions that often occur during its lifetime. The proposed approach is applied to a large database of current vs voltage curves that are experimentally measured on a real photovoltaic plant.