EFFICIENCY OPTIMIZATION METHOD FOR PHOTOVOLTAIC POWER GENERATION SYSTEM BASED ON REINFORCEMENT LEARNING AND ADAPTIVE MODEL PREDICTIVE CONTROL, 1-10.

Zhichao Zhang, Qihang Liu, Chuyuan Wang, and Yujie Zong

References

  1. [1] D. Zhao, X. Yang, and H. Wang, Recent advances in perovskitesolar cells with high efficiency and stability, IEEE Journal ofPhotovoltaics, 14(1), 2024. 309–326.
  2. [2] Y. Li, X. Zhang, and L. Wang, Interface engineeringin perovskite solar cells for improved performance, IEEETransactions on Electron Devices, 70(10), 2023, 4451–4460.
  3. [3] Q. Wang, X. Liu, and X. Li, Understanding the degradationmechanisms of perovskite solar cells, IEEE Journal ofPhotovoltaics, 13(5), 2023, 1245–1254.
  4. [4] S .H. Abdallah and S. Tounsi, Optimal design and controlof ac-dc-dc wind energy system for electric vehicle batteriesrecharging stations, International Journal of Power and EnergySystems, 44(396), 2024, 1–9.
  5. [5] X. Yang, W. Zhang, and W. Zou, Design of power trackingmodel for photovoltaic power generation based on improvedquantum swarm algorithm and conductance incrementalapproach, International Journal of Power and Energy Systems,44(532), 2024, 1–10.
  6. [6] Y. Zhao, X Sun, and X. Li, Optimization of the rear surface fieldin silicon solar cells, IEEE Transactions on Electron Devices,70(8), 2023, 3345–3352.
  7. [7] X. Huang, Y. Wang, and J. Zhang, A novel maximumpower point tracking algorithm for photovoltaic systems, IEEETransactions on Power Electronics, 39(2), 2024, 1567–1576.
  8. [8] H. Li, C. Wang, and Y. Liu, Performance analysis and opti-mization of photovoltaic arrays under non-uniform irradiation,IEEE Journal of Photovoltaics, 13(6), 2023, 1512–1520.
  9. [9] L. Zhang, Q. Zhao, and H. Yang, Hybrid photovoltaic/thermalsystems for enhanced energy conversion efficiency, IEEETransactions on Energy Conversion, 38(3), 2023, 1205–1213.
  10. [10] X. Wang, Y. Zhang, and M. Li, Reliability analysis ofphotovoltaic modules under harsh environmental conditions,IEEE Transactions on Device and Materials Reliability, 24(1),2024, 34–43.
  11. [11] W. Liu, Z. Chen, and J. Wang, Degradation mechanisms andlifetime prediction of photovoltaic systems, IEEE Journal ofPhotovoltaics, 13(3), 2023, 750–759.
  12. [12] J. Zhao, W. Sun, and Q. Li, Fault diagnosis and tolerantcontrol for photovoltaic systems, IEEE Transactions on PowerElectronics, 38(11), 2023, 11057–11066.
  13. [13] X. Li, Y. Wang, and Q. Zhang, Optimal design andcontrol of photovoltaic-energy storage systems for gridintegration, IEEE Transactions on Smart Grid, 15(1), 2024,456–465.
  14. [14] L. Yang, X. Liu, and H. Wang, A novel energy managementstrategy for photovoltaic-battery systems, IEEE Journal ofPhotovoltaics, 13(2), 2023, 502–510.
  15. [15] Z. Wang, X. Zhang, and J. Li, Modeling andexperimental of photovoltaic-energy storage hybrid systems,IEEE Transactions on Power Systems, 38(4), 2023,3015–3024.
  16. [16] M. Chen, X. Li, and X. Wang, Novel materials for high-efficiency photovoltaic devices, IEEE Journal of Photovoltaics,14(2), 2024, 501–512.
  17. [17] Y. Zhang, Y. Liu, and Y. Wang, Characterization andoptimization of photovoltaic materials, IEEE Transactions onElectron Devices, 70(9), 2023, 3785–3794.
  18. [18] J. Wang, X. Zhao, and X. Li, Research progress inorganic photovoltaic materials and devices, IEEE Journal ofPhotovoltaics, 13(1), 2023, 201–210.
  19. [19] Y. Huang, X. Wang, and L. Zhang, Intelligent monitoringsystem for photovoltaic power plants based on big data andmachine learning, IEEE Transactions on Industry Applications,50(1), 2024, 321–330.
  20. [20] M. Li, C. Wang, and W. Liu, Model predictive control ofphotovoltaic systems for maximum power point tracking,IEEE Transactions on Power Electronics, 38(9), 2023,9567–9576.

Important Links:

Go Back