Abstract:
Economical, efficient and reliable hybrid
renewable energy system (HRES) provides a clean and
distributed energy when compared to individual renewable
energy system. In the present scenario, importance of
HRES is getting increased as it adapts to the climatic
changes. In this paper, the considered HRES comprises of
solar PV, wind and micro-hydro along with diesel generator
and battery banks to serve the demand. Minimization of
total cost and total dumped power are the objective
functions considered for this problem. In addition, the
geographical constraints is also considered in this paper to
minimize the total cost of the system. Grey Wolf Algorithm
(GWO) is arguably one of the simple, efficient and most
powerful stochastic real-parameter optimization algorithm
which operates through simple computational steps. The
optimal combination of HRES problem for different
objective function are determined using GWO. As a case
study, a realistic data which has been used in this paper to
find the acceptable combinations belong to a typical
farming village of Western Ghats in Kerala, India. The
simulation results of the considered problem shows that the
GWO algorithm is able to provide better solution quality in
terms of cost, convergence and robustness for the
considered HRES problem.
