Research On MPPT Control Strategy Based On Improved CS Algorithm

Nowadays,with the gradual consumption of fossil energy on earth and the increasing destruction of human living environment,solar energy as a clean energy gradually plays an increasingly important role in human life and production,and its corresponding solar power generation technology has become an important means for countries to get rid of the energy crisis.Maximum Power Point Tracking(MPPT)is an important part of solar Power generation technology.When the photovoltaic array in the system is affected by the external environment,such as different illumination intensity and different ambient temperature,its output Power will be unstable.In some bad environmental conditions,such as outside dust,leaves,bird droppings block the surface of the solar cell to produce "hot spot effect",will seriously affect the stability and safety of the whole system,what’s more,will cause harm to the local power grid.Therefore,it is an urgent problem to ensure the stable output maximum power of photovoltaic array under local shadow occlusion.In view of the above problems,this paper first collected a large number of literature,introduced the research background and significance of the topic,described the development status of solar power generation technology,classified the ways to effectively improve the photoelectric conversion rate of photovoltaic array,and finally confirmed the research direction of MPPT control strategy.Then,the working principle and characteristics of the solar cell are summarized,and the mathematical model of the solar cell is established.A photovoltaic array model based on Matlab/Simulink platform was constructed,and its output power characteristic curves under different light intensity and different temperature were analyzed,and its effectiveness was verified by simulation.Then,a variety of commonly used MPPT algorithms are introduced,and the advantages and disadvantages of these algorithms are compared through modeling and simulation,so as to provide analysis value for the later improved algorithms.Then,this paper proposes an improved cuckoo algorithm,which adds "fixed value" in single peak value optimization and "adaptive factor" in multi-peak value optimization to ensure that the improved algorithm will not fall into the local maximum value in the whole search process,which ensures the accuracy of the algorithm and reduces the power loss.Finally,this paper built a simulation platform for algorithm comparison based on Matlab/Simulink.By simulating the external environment with local shadow occlusion and without local shadow occlusion,a variety of algorithms were simulated and compared.It can be seen from the simulation results that,The improved algorithm has obvious advantages in convergence time,waveform oscillation and power loss,and it also shows that the algorithm can meet the maximum power tracking of photovoltaic array in uniform and non-uniform environment at the same time.