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228                                 Hybrid-Renewable Energy Systems in Microgrids

         Many  researchers have investigated the simplified simulation models, for example,
         power efficiency models [40–44], which can predict the time series or average per-
         formance of a PV array under various climatic conditions for different engineering
         applications.
           In their study, Kerr and Cuevas  [37] investigated a new methodology to deter-
         mine the current–voltage (I–V) characteristics of PV modules based on simultane-
         ously measuring the open-circuit voltage (V oc ) as a function of a slowly varying light
         intensity. They also detailed the theoretical analysis and interpretation of such quasi-
         steady-state V oc  measurements.
           Researchers Borowy and Salameh [41] presented a simplified model to calculate
         the maximum power output for one certain PV module after finding the solar radiation
         on the PV module and ambient temperature data.
           A novel simulation model for PV array performance predictions for engineering
         applications has been presented by Zhou et al. [42]. This model is based on the I–V
         curves of a PV module. Five parameters have been introduced to account for the com-
         plex dependence of PV module performance upon solar radiation intensities and PV
         module temperatures. According to the author, this simple simulation model is useful
         for engineers to calculate the actual performance of the PV modules under operating
         conditions, where limited data is provided by the PV module manufacturers.
           An efficiency model of PV module power output that is based on an adaptation of
         the established PV fill factor method, was presented by Jones and Underwood [44,45].
         They attempted to consider the solar radiation and temperature characteristics in the
         established theory to make a general PV power efficiency mode. The AC power output
         from a PV array was estimated using the product of a single PV module power output,
         the number of PV modules N m  in the array, and the inverter efficiency η inv  can be rep-
         resented as in (Eq. (12.1)) [44,45].

                                          In KG)
                                              1 (
             P Array  FF • =     I SCO  •  G    •    V OCO  •  In KG )  •  T 0     •  N •η inv  (12.1)
                                                            m
 PArray=FF⋅ ISCO⋅ GG  0       Go          1 (  0  T module 
 ⋅ VOCO⋅ InK GInK G ⋅ -
 0
 1
 1
                                        2
                                     6
 T Tmodule⋅Nm⋅ηinv  where: K 1  = Constant k1 = around 10  m /W, I sco  = the short circuit current (A), V oco  = the
 0
                                                                           2
         open circuit voltage (V), G = the solar irradiation on an inclined plane in (W/m ),
                                             2
         G 0  = solar irradiance reference (1000 W/m ), N = number of modules constituting
         the PV field, and FF = form factor.
           The developed simulation model has been validated using measured data from
         a 39.5 kW building-integrated PV array system. The PV module power output was
         calculated for two different sets of climatic conditions, for clear sky conditions and
         overcast sky conditions. The datasets were compiled from all periods of the year for
         this purpose.
         3.2  Modelling the wind energy system
         The mathematical modelling of wind energy conversion system includes wind turbine
         dynamics and generator modelling. An investigation of the available literature on the
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