Application of Improved Light Spectrum Optimizer in Photovoltaic MPPT
The operation of photovoltaic cells is easily affected by the environment.When the photovoltaic array is partially obscured by clouds or buildings,its output power and voltage waveform will show a multi peak state.The traditional Maximum Power Point Tracking (MPPT)method will have poor track-ing speed and accuracy,and it is easy to fall into local optima.Therefore,an improved Light Spectrum Optimizer (LSO)is proposed,and applied it for maximum power point tracking of photovoltaics.First-ly,logistic mapping was used to improve the initialization population quality of LSO,and an improved LSO algorithm was proposed.Then,the improved LSO algorithm was applied to photovoltaic MPPT.Fi-nally,the application effect of improved LSO on MPPT was tested in uniform lighting,local shading,and dynamic environment,and compared with particle swarm optimization (PSO ),cuckoo bird algorithm (CS),and LSO.According to experiments and simulations,it is found that the tracking speed and accura-cy of the spectral optimizer with Logistic mapping are improved compared to PSO,CS,and LSO,and it will not fall into local optima under local shading.
maximum power point trackingchaos mappingspectral optimizer