TITLE:
Optimization and Sizing of a Stand-Alone Photovoltaic System and Assessment of Random Load Fluctuation on Power Supply
AUTHORS:
Leonard Akana Nguimdo, Clinton Kum
KEYWORDS:
Photovoltaic System, Optimization, Apparent Power, Tilt Angle, State of Charge, Random Numbers Generator
JOURNAL NAME:
Energy and Power Engineering,
Vol.12 No.1,
January
15,
2020
ABSTRACT: This study presents an optimization technique and design for a
stand-alone photovoltaic (PV) system to provide the required electricity for a
single residential household in remote areas. From the basic solar components analysis, the irradiance on tilted surface is derived and compared to that
on horizontal surface for Furu-Awa
locality to infer the appropriate tilt angle (β) that maximizes the collection of solar energy. Seven optimum
values of β applicable to the PV network were then derived depending of the period of the year and this simulation
resulted that the panels are to be adjusted seven times a year. The optimization
technique for load demand based on total apparent power of the household appliances produces an increase of 18% compared
to the simple case of the PV components design using active power but leads to
the optimum configuration that meets the real load demand of the household.
Following the sizing of the station, reliability tests simulations were
conducted for a one year corresponding
period to infer the sensitivity of power supply to initial state of charge, to
check the system autonomy and to evaluate the effect of random variation of the
load on the smooth functioning of the PV system using a pseudo random number generator. This analysis shows that the
minimum capacity of the battery for normal run of the Plan is 22.2% and that with random fluctuation of load, there will
be periods of the year where the system experiences power failure depending on
how important is the variation. The result of the study may imply a small
increase in the cost of the entire plant but improves the stability and
flexibility of such a station.