Abstract:
This dissertation comprises the process of monitoring the performance of solar panel with the
application of MPPT under different meteorological conditions, buck boost converter and a nonideal
condition of partial shading of PV panel. It describes the elementary information of the
simulation of solar panel taking Irradiance and temperature as input to work at different operating
point. It includes two methods for applying MPPT technique i.e. Perturb and Observe and
Incremental Conductance. These techniques are incorporated with a standalone PV system
which comprises DC-DC Buck boost converter and PWM based Inverter, to track the
maximum power of the PV panel.
The rest part of this work describes the functioning of monitoring system by collecting the
data in different meteorological conditions. Analysis works are done for a chosen PV panel with
specified Voltage, current and power rating. P-V and I-V characteristics of the panel are obtained
at varying irradiance with constant temperature and vice versa. The partial shading condition
which is not responded by perturb and observe, is addressed using incremental conductance
algorithm. The simulation results show the output voltage, current and power at input and output
side of DC-DC converter at different values of irradiance and temperature. Simulation results are
needed to be analyzed to provide some meaningful information extracted by some statistical
approach. There are statistical tools like Monte Carlo simulation, regression analysis, curve
fitting etc. are available to fetch reliable information from the available set of data.
All these methods are meant to tell the health of the system at any point of time in online
condition. And such monitoring is named in this dissertation as condition monitoring of the
photovoltaic system.
