IEEE Transactions on Energy Conversion, Vol.25, No.2, 484-493, 2010
A Biological Swarm Chasing Algorithm for Tracking the PV Maximum Power Point
In this paper, a novel photovoltaic (PV) maximum power point tracking (MPPT) based on biological swarm chasing behavior is proposed to increase the MPPT performance for a module-integrated PV power system. Each PV module is viewed as a particle, and as a result, the maximum power point is viewed as the moving target. Thus, every PV module can chase the maximum power point (MPP) automatically. A 525 W prototype constructed by three parallel-connected 175 W PV modules is implemented to assess the MPPT performance. Comparing with a typical perturb and observe (P&O) MPPT method, the MPPT efficiency eta(MPPT) is improved about 12.19% in transient state by the proposed MPPT as theoretical prediction.
Keywords:Maximum power point tracking (MPPT);particle swarm optimization;photovoltaic (PV);swarm intelligence