| Autor: |
Yani Ouyang, Wei Zhao, Haifeng Wang |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Energy Reports, Vol 9, Iss , Pp 792-801 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2352-4847 |
| DOI: |
10.1016/j.egyr.2023.04.301 |
| Popis: |
This paper presents a maximum power point tracking (MPPT) control algorithm based on an intelligent reinforcement learning. The proposed model-free Q-learning algorithm realizes the online learning of the control algorithm of the tidal power generation system by updating the action values stored in the Q-table. By learning the optimal rotor speed-output power curve, the algorithm fits the optimal generator curve and applies the optimal Pe−ωrcurve to the optimal control method of the tidal power generation systems. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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