Improved Zebra Optimization Algorithm-hybridized Method for Photovoltaic MPPT
Photovoltaic arrays are susceptible to external influences and local shading,and the power output shows multi-peak characteristic.The conventional photovoltaic maximum power tracking(MPPT)algorithms have some problems such as low efficiency,large output fluctuation,and ease of local optimum.To address these defects,a photovoltaic MPPT control strategy based on the hybridization of improved zebra optimization algorithm(IZOA)and incremental con-ductance increment(INC)was proposed.In the initial stage of the algorithm,Tent chaotic mapping was introduced to promote the uniform distribution of zebra population in the optimization space,and the advantage of IZOA was used to quickly search the global maximum power point.Later,when the maximum power point was near,INC was used to im-prove search efficiency and achieve fast and stable output.The proposed IZOA-INC method was verified by MATLAB/Simulink modeling to achieve tracking utility superior to those of simulative particle swarm optimization algorithm(PSO),cuckoo optimization algorithm(CS),and zebra optimization algorithm(ZOA)under the same parameter conditions.
NETL
NSTL
万方数据
