Research on the MPPT of Photovoltaic Power Generation Based on the CSA-INC Algorithm

The existing Maximum Power Point Tracking (MPPT) method has low tracking efficiency and poor stability. It is easy to fall into the Local (LMPP) in Partial Shading Condition (PSC), resulting degradation of output power quality efficiency. was found that various bio-inspired MPPT based optimization algorithms employ different mechanisms, their performance Global (GMPP) varies. Thus, a Cuckoo search algorithm (CSA) combined with Incremental conductance Algorithm (INC) proposed (CSA-INC) put forward for photovoltaic generation. can improve speed by more than 52% compared traditional Search (CSA), results study using this are popular Particle Swarm Optimization (PSO) Gravitational (GSA). CSA-INC an average 99.99% time 0.19 s when GMPP, which improves PV generation’s quality.