Application of Improved Particle Swarm Optimization Algorithm in Optical Storage System MPPT
The control strategy of MPPT in photovoltaic system is one of the main factors affecting the voltage fluctuation of bus side of optical storage system.The traditional MPPT control strategy will have some problems such as low control accuracy and slow tracking speed under the change of external environment,while the MPPT based on artificial intelligence algorithm has some problems such as complex control process and falling into local optimal solution.In this paper,an improved particle swarm optimiza-tion(MPPT)control algorithm is proposed.In this algorithm,Levy flight is used to improve the particle motion mode and expand the particle search range and sensitivity.The improved algorithm can effectively improve the accuracy and speed of the traditional al-gorithm,and maintain the voltage stability of the DC bus effectively while tracking the maximum power of the PV side.The circuit construction and algorithm optimization are carried out on Matlab/Simulink software.The experimental results show that the im-proved algorithm can track the maximum power point faster than the traditional algorithm and ensure the stability of the output pow-er,which has good practicability.
optical storage systemDC bus voltageMPPTPSOLevy flight
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