The photovoltaic (PV) system is one of the most widespread of the renewable energy generation systems that are
being used to meet the continuously increasing energy demand. A proposed analytical method is used to find the optimum
power factor of PV inverter (PVI) that leads to minimum aging, reduced energy losses cost of the transformer, lower payback
period of PV system, and lower green houses gases (GHG) emissions due to the transformer energy losses. In this study, the
thermal performance of a 630 kVA mineral oil-filled transformer is simulated in MATLAB programming language. For an
association, it is mandatory to connect a PV system to the grid to minimise the transformer loading. The PV output power is
used to study the long-term impact of the solar irradiance on the transformer thermal performance. Also, the long-term climatic
characteristics are considered. The ambient temperature surrounding the transformer is considered all day long. The load
current profile was measured all day long. The results show the aging and cost-effectiveness of the transformer and the
payback period of PV system and GHG emissions are a function of PVI power factor. |
