A review of maximum power point tracking algorithms for wind energy systems
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Prior work has attempted to maximize electricity production by controlling solar panels or wind turbine blades using RL or Bayesian optimization.
“Prior work has attempted to maximize electricity production by controlling solar panels [1,3,678] or wind turbine blades [2,833] using RL or Bayesian optimization.”
From Tackling climate change with machine learning (2023) · cites this paper as [2]
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A practical guide to multi-objective reinforcement learning and planning
Hayes, C. F., Rădulescu, R., Bargiacchi, E., Källström, J., Macfarlane, M., Reymond, M., Verstraeten, T., Zintgraf, L. M., Dazeley, R., Heintz, F., et al. (2022) · Autonomous Agents and Multi-Agent Systems · doi:10.1007/s10458-022-09552-y · Cited by 400 · see citing works
“Single-turbine control and design has been well-explored in the literature [3, 99].”
BackgroundMethodTackling climate change with machine learning
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336 · see citing works
Wei, C., Zhang, Z., Qiao, W., & Qu, L. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2015.2420792 · Cited by 178 · see citing works
- Authors
- Abdullah, M. A., Yatim, A. H. M., Tan, C. W., & Saidur, R.
- Affiliations
- University of Technology Malaysia (MY)
- University of Malaya (MY)
- Corresponding author
- Abdullah, M.A.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2012-06
- Volume
- 16
- Issue
- 5
- Pages
- 3220-3227
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2107191190
- Cited by
- 770
- References
- 69
- Citations by year
- 2026: 14 · 2025: 41 · 2024: 52 · 2023: 57 · 2022: 71 · 2021: 68 · 2020: 68 · 2019: 68 · 2018: 85 · 2017: 66 · 2016: 58 · 2015: 59 · 2014: 34 · 2013: 16 · 2012: 9
- FWCI
- 24.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Renewable and Sustainable Energy Reviews (publishedVersion)
- The University of Malaya Research Repository (University of Malaya) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Wind Turbine Control Systems
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Photovoltaic System Optimization Techniques
- Physical Sciences › Engineering › Aerospace Engineering › Wind Energy Research and Development
- Keywords
- maximum power point tracking, wind energy systems, wind turbine generator, sensorless MPPT, perturb and observe, optimal torque control, wind speed variation, energy yield, MPPT algorithm comparison
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