MPPT study of PV system based on improved PSO optimized BP neural network algorithm

Shu-Heng Yang

doi:10.1117/12.2637089

15 June 2022 MPPT study of PV system based on improved PSO optimized BP neural network algorithm

Shu-Heng Yang

Proceedings Volume 12285, International Conference on Advanced Algorithms and Neural Networks (AANN 2022); 122850K (2022) https://doi.org/10.1117/12.2637089
Event: International Conference on Advanced Algorithms and Neural Networks (AANN 2022), 2022, Zhuhai, China

Abstract

To address the problem that the MPPT strategy of PV system based on BP neural network has large errors when the light intensity changes suddenly, an improved particle swarm optimization is proposed for the optimization of weights and thresholds of BP neural network, and a simulation model of MPPT control of PV system based on PSO-BP neural network algorithm is established. The test and simulation results show that the optimized BP neural network converges faster and the prediction accuracy is improved.

Citation Download Citation

Shu-Heng Yang "MPPT study of PV system based on improved PSO optimized BP neural network algorithm", Proc. SPIE 12285, International Conference on Advanced Algorithms and Neural Networks (AANN 2022), 122850K (15 June 2022); https://doi.org/10.1117/12.2637089

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