The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Double Deep $Q$ -Learning-Based Distributed Operation of Battery Energy Storage System Considering Uncertainties
Abstract
Q-learning-based operation strategies are being recently applied for optimal operation of energy storage systems, where, a Q-table is used to store Q-values for all possible state-action pairs. However, Q-learning faces challenges when it comes to large state space problems, i.e., continuous state space problems or problems with environment uncertainties. In order to address the limitations of Q-learning, this paper proposes a distributed operation strategy using double deep Q-learning method. It is applied to managing the operation of a community battery energy storage system (CBESS) in a microgrid system. In contrast to Q-learning, the proposed operation strategy is capable of dealing with uncertainties in the system in both grid-connected and islanded modes. This is due to the utilization of a deep neural network as a function approximator to estimate the Q-values. Moreover, the proposed method can mitigate the overestimation that is the major drawback of the standard deep Q-learning. The proposed method trains the model faster by decoupling the selection and evaluation processes. Finally, the performance of the proposed double deep Q-learning-based operation method is evaluated by comparing its results with a centralized approach-based operation.
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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
Yang, Y., Bremner, S., Menictas, C., & Kay, M. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2022.112671 · Cited by 325
Wu, Z., Li, Y., Zhang, X., Zheng, S., & Zhao, J. (2025) · Applied Energy · doi:10.1016/j.apenergy.2024.124984 · Cited by 29
Voltage Regulation Strategies in Photovoltaic-Energy Storage System Distribution Network: A Review
Dong, Q., Song, X., Gong, C., Hu, C., Rui, J., Wang, T., Xia, Z., & Wang, Z. (2025) · Energies · doi:10.3390/en18112740 · Cited by 23
Metadata
- Authors
- Bui, Y.-H., Hussain, A., & Kim, H.-M.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2020-01
- Volume
- 11
- Issue
- 1
- Pages
- 457-469
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2949816299
- Cited by
- 282
- References
- 28
- FWCI
- 17.21
- Type
- journal article
- Language
- en
- Open access
- closed
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