Gri Kurt Optimizasyonu Algoritmasına Dayalı Bir Rüzgar / Fotovoltaik / Yakıt Hücreli Hibrid Sisteminin Optimal Büyüklükteki Tasarımı
Özet
This study developed a hybrid system composed of wind turbines, PV cells, and fuel cells to
supply a specific (deterministic) load model. The purpose of this design was to minimize the
cost of energy generation over a period of 20-year while satisfying a set of system reliability
constraints. In this paper, the data pertaining to load demand, sunlight and wind speed were
considered to be known and deterministic. This design considered the failure of three main
system components, namely, wind turbines, PV cells and AC/DC converter, and
incorporated a number of cost factors such as initial investment, operating and maintenance
expenses, and value of lost load (VoLL). The wind and solar data used in this study pertained
to northwestern regions of Iran. This paper used gray wolf optimization algorithm (GWO) to
optimize the system and compared the results with the results of particle swarm PSO.
The stated objective of this paper was to determine the optimal value of system components,
i.e. the number of wind turbines, the number and angle of PV arrays, and the size of
electrolyzer, hydrogen tanks, fuel cells, and DC/AC converters. The costs incorporated into
this design included net present value (NPV) of investment, costs of equipment, replacement
and maintenance, and the costs arising from power supply interruption (VoLL), all for a
period of 20 years considered as the system lifetime.
