期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：8
页码：1-14
出版社：Science and Information Society (SAI)
摘要：In this paper, a Modified Farmland Fertility
Optimization algorithm (MFFA) has been presented for optimal
sizing of a grid connected hybrid system including photovoltaic
(PV), wind turbines and fuel cell (FC). The system is optimal
designed for providing a clean, reliable and affordable energy by
adopting hybrid power systems. This system is very important
for countries looking to achieve their sustainable development
goals. MFFA is proposed in order to reduce the processing
implementation time. The optimization method depends on the
high reliability of the hybrid power supply, small fluctuation in
the injected energy to the grid and high utilization of the wind
and solar complementary characteristics. Moreover, MFFA is
applied to minimize the cost of energy while satisfying the
operational constraints. A real case study of a hybrid power
system for Ataka region in Egypt is introduced to evaluate the
performance of the proposed optimization method. Moreover, a
comprehensive comparison between the proposed MFFA
optimization technique and the conventional Farmland Fertility
Algorithm (FFA) has been presented to validate the proposed
MFFA.
