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New ARMO-based MPPT Technique to minimise tracking time and fluctuation at output of PV systems under rapidly changing shading conditions

Partners: With support from University of Malaya.

The  presence  of  bypass  diodes  that  mitigate  the negative  effects  of  partial  shading  (PS)  conditions  produces multiple peak characteristics at the output of a photovoltaic (PV) array.  Conventional  maximum  power  point  tracking  (MPPT) methods develop errors under certain circumstances and detect the local maximum power point (LMPP) instead of the global maximum  power  point  (GMPP).  Several  artificial  intelligence (AI)-based methods have been used to modify the performance of conventional controllers. However, these methods have either not completely  solved  the  PS  problem  or  resulted  in  considerably complicated  and  unreliable  methodologies,  as  well  as  require further development to be used in high-speed applications. This study aims to design, develop, and verify a novel rapid, reliable, and  cost-effective  method  called  adaptive  radial  movement optimization (ARMO) to diminish the effect of the PS problem in the  MPP  detection  for  PV  systems  with  additional  dynamic applications. The main advantages of ARMO are its improved tracking speed and a significant reduction in output fluctuations during the tracking period. An extensive experimental verification has been conducted to provide a fair evaluation of the proposed method  compared  with  conventional  and  recently  developed methods under similar conditions while being applied to a unique PV system and DC/DC converter.

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