Design Of Photovoltaic Power Optimizer Based On The Improved Salp Swarm Algorithm

Problems such as shadow shading and surface contamination have caused the voltage and current of some components in the PV array to drop,resulting in a significant drop in the output power of the PV array.Maximum power tracking(MPPT)technology is used in the power optimizer to maximize the output power of the PV array and improve the power generation efficiency.Under local shadow condition,the P-U curve of the PV array presents the multipeak feature,and the traditional control algorithms will get into local peaks.This paper aims to improve the optimization capacity of the MPPT algorithm under local shadow conditions and the performance of the power optimizer.On this basis,the improved salp swarm algorithm(SSA)is studied,and a power optimizer using H-bridge Buck-Boost circuit based on SM72295 is designed.The SSA and PSO algorithm based on artificial intelligence can realize the multi-peak MPPT under local shadow,but they have the problems of convergence speed and optimization accuracy.On this basis,the SSA is improved,and the weight of follower position update,the adaptive leader number update operator,and the out-of-bounds position adjustment strategy are added to speed up the algorithm convergence speed,increase the population complexity.Aiming at the power sudden change problem caused by sudden light change,the initial parameters,algorithm termination conditions and restart conditions of power optimizer are designed to reduce the tracking iteration time and adapt to the rapid light change.The standard test function is used to test the performance of SSA and improved SSA on the MATLAB platform.An MPPT simulation model of the improved SSA and PSO algorithms is built in Simulink to verify the superiority of the improved SSA.Complete the hardware design of the power optimizer in modules and use the H-bridge Buck-Boost circuit to broaden its output range.The integrated SM72295 chip is selected to simplify the hardware structure of the drive and current sampling circuit.Use modular design method for software design and function debugging,then adjust component parameters.The half-physical simulation test of DC power supply series resistance and photovoltaic cell MPPT are carried out respectively to realize the prototype test.Combine MATLAB and the control board of power optimizer to carry on the improved SSA performance test.Simulation results show that the improved SSA has higher optimization accuracy and better stability than the basic SSA andfewer iterations than the PSO and can find the maximum power point faster.The prototype test results prove that the power optimizer can quickly achieve maximum power tracking under the light intensity at different times of the day.