The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Data-Driven Load Frequency Control for Stochastic Power Systems: A Deep Reinforcement Learning Method With Continuous Action Search
Abstract
This letter proposes a data-driven, model-free method for load frequency control (LFC) against renewable energy uncertainties based on deep reinforcement learning (DRL) in continuous action domain. The proposed method can nonlinearly derive control strategies to minimize frequency deviation with faster response speed and stronger adaptability for unmolded system dynamics. It consists of offline optimization of LFC strategies with DRL and continuous action search, and online control with policy network where features are extracted by stacked denoising auto-encoders. Numerical simulations verify the effectiveness and advantages of proposed method over existing approaches.
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Citations
Cites
Continuous control with deep reinforcement learning
Lillicrap, T. P., Hunt, J. J., Pritzel, A., Heess, N., Erez, T., Tassa, Y., Silver, D., & Wierstra, D. (2015) · arXiv · doi:10.48550/arxiv.1509.02971 · Cited by 10,782
Cited by
Machlev, R., Heistrene, L., Perl, M., Levy, K. Y., Belikov, J., Mannor, S., & Levron, Y. (2022) · Energy and AI · doi:10.1016/j.egyai.2022.100169 · Cited by 552
Reinforcement Learning and Its Applications in Modern Power and Energy Systems: A Review
Cao, D., Hu, W., Zhao, J., Zhang, G., Zhang, B., Liu, Z., Chen, Z., & Blaabjerg, F. (2020) · Journal of Modern Power Systems and Clean Energy · doi:10.35833/mpce.2020.000552 · Cited by 460
Yan, Z., & Xu, Y. (2020) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2020.2999890 · Cited by 398
Self-citationShi, Z., Yao, W., Li, Z., Zeng, L., Zhao, Y., Zhang, R., Tang, Y., & Wen, J. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115733 · Cited by 327
Deep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems
Zhang, Y., Wang, X., Wang, J., & Zhang, Y. (2021) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2020.3010130 · Cited by 299
Metadata
- Authors
- Yan, Z., & Xu, Y.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2019-03
- Volume
- 34
- Issue
- 2
- Pages
- 1653-1656
- ISSN
- 0885-8950 (ISSN-L)
- 1558-0679
- OpenAlex
- W2901621510
- Cited by
- 387
- References
- 1
- FWCI
- 11.95
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yan, Z., & Xu, Y. (2019). Data-Driven Load Frequency Control for Stochastic Power Systems: A Deep Reinforcement Learning Method With Continuous Action Search. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2018.2881359
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