DEE-26006 Post-Graduate Course in Power Engineering, 3-8 cr

Toteutuskerta DEE-26006 2018-03

Kuvaus

Photovoltaic (PV) systems modeling and control
Lectures in room S4 21.8.2018 at 10.15 - 17.00
- 22.8.2018 at 9.15 -17.00
- 23.8.2018 at 9.15 - 15.00

Content
1 Introduction to Photovoltaic Systems: Modeling
Introductory aspects on PV systems. The ideal and the real single diode model. The non-linear I-V and P-V equations, in implicit and explicit form. PV module parameters identification based on the data-sheet values. Parametric dependencies on irradiance and temperature. Two quadrants behavior of the PV cell: the Bishop model.
2 Photovoltaic Arrays in mismatched conditions: Modeling
Sources and effects of mismatching. Shadowing and hot spots. Modeling at string level and at cell level. I-V and P-V curves: simulation aspects. Relative and absolute maximum power points. Minimizing the effects of mismatching on the PV field power production.
3 Photovoltaic Arrays maximum power point tracking (MPPT)
Tracking the maximum power point of a PV array by means of a dc/dc switching converter. Perturb and Observe and Incremental Conductance algorithms. MPPT efficiency and optimization of the MPPT performance considering also disturbances.
4 Distributed maximum power point tracking and dynamical reconfiguration
MPPT for PV arrays working in mismatched conditions. Distributed MPPT architectures. Power optimizers. Micro inverters. Dynamical reconfiguration of the PV field. Determining the optimal configuration.
5 Photovoltaic plant power processing systems
General architectures of power processing systems. Stand-alone and grid connected architectures. Field, string and module inverters. Reliability issues.
6 Sizing and planning of grid connected photovoltaic systems
Real power production from a PV plant. Standard test conditions and real conditions. Theoretical planning vs real production over years.¿

Opetus

Arvosteluasteikko

Evaluation scale passed/failed will be used on the course

Suoritusvaatimukset

Presence at lectures is mandatory.
Language is English.
5 credits.
Examiner is Professor Seppo Valkealahti.
Sign in by email to seppo.valkealahti@tut.fi