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Hybrid PV–wind renewable energy sources for microgrid application: an overview 11
Table 1.2 Summary of the optimization practices in hybrid system
(cont.)
Application Control Choice of Modes of Paper
schemes algorithm energy source microgrid references
To Minimize the A linear pro- Wind, PV, bat- Standalone [33]
average elec- gramming tery, diesel
tricity genera- techniques
tion cost and
meeting the
load require-
ments
To meet annual An iterative Wind, PV, bat- Grid connected [34]
load demand algorithm tery, diesel
and reduce total
annual cost
To maximize A hybrid Wind, PV, Standalone [35]
the system Flower battery
reliability and Pollination
reduce the Algorithm
system costs (FPA) and
Simulated
Annealing
(SA) algo-
rithm
To reduce the A mixed Wind, PV, Grid connected [36]
MG opera- integer linear battery
tion cost and program-
support self- ming (MILP)
consumption
Day ahead opera- General Alge- Wind, PV, bat- Standalone [37]
tional planning braic Model- tery, diesel
to minimize ing System
the daily op- (GAMS)/
eration costs CPLEX 12
To determine the HOMER Wind, PV, Standalone [38]
viability of the battery
system and
life-cycle cost
5 Energy storage system in MG
Renewable energy resources based MG may function in two different modes; grid-
connected and off-grid (standalone) modes [39]. Standalone MG mode is common in
remote locations, while connecting to the main power grid is expensive or limited by