MODELLING OF PHOTOVOLTAIC ARRAY MONITORING SYSTEM

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.