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Overview of PV Maximum Power Point Tracking Techniques                      113


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              The next search interval is decided by comparing the PV output power at c 1  and c 2  as follows:
                                                                   +
                                  +
                                                         +
                                            +
                                                         i 1
                                                                        i
                                                                   i 1
                                      i
                                           i 1
                                                i
                                 i 1
                                                             i
                  i
                          i
            if P pv() < () , then c 3 =  and c 4 = c 4 , or else c 3 =  and c 4 =  c 2 . This search process is
                 c 1
                                                             c 3
                     P pv
                                     c 1
                         c 2
                                                                                         i
                                                                              i
                                                                                i
            continued until the variable n of F n  is reduced to zero or the distances between c 3 , c 4  and P pv() ,
                                                                                        c 3
                i
            P pv() , respectively, drop below predefined thresholds. The MPPT algorithm based on the Fibonacci
               c 4
            sequence does not guarantee convergence to the global MPP.
            5.4.4  Stochastic and Chaos-Based MPPT Algorithms
            Random search method has been applied in [72] for deriving the global MPP of a PV array with par-
            tial shading. Using this approach, the duty cycle of a DC/DC power converter is iteratively modified
            using random numbers, such that it progressively moves toward values that operate the PV source at
            points providing a higher output power.
              The chaotic-search global MPPT process presented in [73] is based on two recursive functions
            (i.e., dual carrier) in order to perform iterative fragmentations of the PV array power– voltage char-
            acteristic. For that purpose, sequences of numbers are generated through the use of appropriate func-
            tions, which correspond to alternative operating points on the power–voltage  characteristic of the
            PV array. By measuring the power generated by the PV array at these  positions, the global MPP is
            detected. In [74], the global MPP tracking process for flexible PV  modules, which also exhibit local
            MPPs on their power–voltage curves, is performed using a combination of the dual-carrier (i.e.,
            using two recursive functions) chaotic-search and PSO optimization algorithms.
              Due to their operational complexity, a microcontroller- or DSP-based control unit is required for
            executing these global MPPT algorithms.
            5.4.5  Distributed MPPT
            In the case that the PV source, which is connected to the power converter of the PV energy  production
            system shown in Figure 5.1, comprises strings of series-connected PV modules, then a bypass diode
            is connected in antiparallel with each PV module in order to conduct the string current in cases of
            partial shading conditions. In contrast to this design approach, in the distributed MPPT (DMPPT)
            architectures, a separate DC/DC power converter is connected at the output of each PV module of
            the PV array.
              In the current equalization DMPPT topology, the DC/DC converter connected at the output
            of each PV module is power supplied by the DC bus of the PV string. A diagram of this topol-
            ogy based on the architecture proposed in [75] is depicted in Figure 5.15. Under partial  shading
              conditions, the nth PV module produces a current equal to I pv n,  and the corresponding DC/DC
              converter is controlled to supply an additional current, which is equal to I s −  I pvn, , such that the
            total string current is equal to I s . At the same time, the output voltage of each PV module is
              regulated such that operation at its MPP is ensured [76]. The position of MPP is different for each
            PV  module, depending on the geometry of the shading pattern on the PV array. Each DC/DC con-
            verter is required to supply only the equalization current, thus operating at a low power level with
            relatively low power losses.
              In order to enable multiple strings, each employing the current equalization topology described
            previously, to be connected in parallel without forcing their PV modules to operate away from their
            MPPs, the current equalization topology presented earlier has been extended to the shunt-series
            compensation topology. A diagram of this topology based on the architecture proposed in [77] is
            shown in Figure 5.16. In this architecture, a current-compensating DC/DC converter with MPPT
            controller is connected in parallel with each PV module and a voltage-compensating DC/DC con-
            verter is connected in series with each PV string, which balances the deviation of the total voltage
            produced by parallel-connected strings, thus enabling the individual PV modules to operate at their
            own MPPs.
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