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隐私保护下跨域电池储能系统智能均衡控制策略
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Abstract:
基于通信信道的跨域电池储能系统(BESSs)技术在现代智能电网的运行中发挥着重要作用，每个参与的BESS互动过程中存在泄露敏感消息的高风险问题，攻击者利用所窃取的重要信息更容易引发电网崩溃、BESS热失控等严重后果。因此，为解决多源直流微电网中区域互联多储能系统的安全控制问题，本文提出了一种新型的均衡管理策略，采用改进的分布式共识算法模型，通过满足荷电状态(SOC)相对变化率的约束以实现BESS间的一致性，在满足总体功率需求的同时优化各BESS的能量负载。此外，在各BESS通讯过程中引入差分隐私保护机制，避免窃听者获取准确的系统信息，进一步地提出了一种多级隐私保护框架，适应BESSs不同阶段的充放电场景。最后，本文使用Matlab软件进行了仿真实验，结果表明可以使BESS能量利用时间延长66.98%，并且在保证均衡效果的前提下也具有一定隐私保护效果。
Battery Energy Storage Systems (BESSs) based on communication channel technology play a pivotal role in the operation of modern smart grids. However, the interaction among participating BESSs presents a high risk of sensitive information leakage, which can lead to severe consequences such as grid failure and thermal runaway of BESSs if attackers exploit the stolen information. To address the security control issues in interconnected multi-energy storage systems within multi-source direct current microgrids, this paper proposes a novel equilibrium management strategy. It employs an improved distributed consensus algorithm model that ensures consistency among BESSs by adhering to constraints on the relative rate of change of the state of charge (SOC), while optimizing the energy load of each BESS to meet the overall power demand. Furthermore, a differential privacy protection mechanism is introduced during the communication process between BESSs to prevent eavesdroppers from obtaining accurate system information. A multi-level privacy protection framework is also proposed to accommodate different charging and discharging scenarios of BESSs. Finally, simulation experiments conducted using Matlab software indicate that the proposed strategy can extend the energy utilization time of BESSs by 66.98% and also provide a certain level of privacy protection while ensuring balancing effects.
| [1] | Lawder, M.T., Suthar, B., Northrop, P.W., et al. (2014) Battery Energy Storage System (BESS) and Battery Management System (BMS) for Grid-Scale Applications. Proceedings of the IEEE, 102, 1014-1030. https://doi.org/10.1109/JPROC.2014.2317451 |
| [2] | Sufyan, M., Rahim, N.A., Aman, M.M., et al. (2019) Sizing and Applications of Battery Energy Storage Technologies in Smart Grid System: A Review. Journal of Renewable and Sustainable Energy, 11, Article ID: 014105. https://doi.org/10.1063/1.5063866 |
| [3] | Zhang, Q., Zeng, Y., Liu, Y., et al. (2021) An Improved Distributed Cooperative Control Strategy for Multiple Energy Storages Parallel in Islanded DC Microgrid. IEEE Journal of Emerging and Selected Topics in Power Electronics, 10, 455-468. https://doi.org/10.1109/JESTPE.2021.3072701 |
| [4] | Zhang, R., Savkin, A.V. and Hredzak, B. (2021) Centralized Nonlinear Switching Control Strategy for Distributed Energy Storage Systems Communicating via a Network with Large Time Delays. Journal of Energy Storage, 41, Article ID: 102834. https://doi.org/10.1016/j.est.2021.102834 |
| [5] | Zeng, Y., Zhang, Q., Liu, Y., et al. (2021) State-of-Charge Dynamic Balancing Strategy for Distributed Energy Storage System in DC Shipboard Microgrid. International Journal of Electrical Power & Energy Systems, 133, Article ID: 107094. https://doi.org/10.1016/j.ijepes.2021.107094 |
| [6] | Oliveira, T.R., Silva, W.W.A.G. and Donoso-Garcia, P.F. (2016) Distributed Secondary Level Control for Energy Storage Management in DC Microgrids. IEEE Transactions on Smart Grid, 8, 2597-2607. https://doi.org/10.1109/TSG.2016.2531503 |
| [7] | Shi, G., Han, H., Sun, Y., Liu, Z., et al. (2020) A Decentralized SOC Balancing Method for Cascaded-Type Energy Storage Systems. IEEE Transactions on Industrial Electronics, 68, 2321-2333. https://doi.org/10.1109/TIE.2020.2973889 |
| [8] | Xing, L., Mishra, Y., Tian, Y.C., Ledwich, G., et al. (2019) Distributed State-of-Charge Balance Control with Event-Triggered Signal Transmissions for Multiple Energy Storage Systems in Smart Grid. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49, 1601-1611. https://doi.org/10.1109/TSMC.2019.2916152 |
| [9] | Hoang, K.D. and Lee, H.H. (2018) Accurate Power Sharing with Balanced Battery State of Charge in Distributed DC Microgrid. IEEE Transactions on Industrial Electronics, 66, 1883-1893. https://doi.org/10.1109/TIE.2018.2838107 |
| [10] | Liang, G., Rodriguez, E., Farivar, G.G., et al. (2022) A Constrained Intersubmodule State-of-Charge Balancing Method for Battery Energy Storage Systems Based on the Cascaded H-Bridge Converter. IEEE Transactions on Power Electronics, 37, 12669-12678. https://doi.org/10.1109/TPEL.2022.3170062 |
| [11] | Zhou, Q., Shahidehpour, M., Alabdulwahab, A., et al. (2020) Privacy-Preserving Distributed Control Strategy for Optimal Economic Operation in Islanded Reconfigurable Microgrids. IEEE Transactions on Power Systems, 35, 3847-3856. https://doi.org/10.1109/TPWRS.2020.2985995 |
| [12] | Wang, A., Liu, W., Dong, T., et al. (2020) DisEHPPC: Enabling Heterogeneous Privacy-Preserving Consensus-Based Scheme for Economic Dispatch in Smart Grids. IEEE Transactions on Cybernetics, 52, 5124-5135. https://doi.org/10.1109/TCYB.2020.3027572 |
| [13] | Zhao, C., Chen, J., He, J., et al. (2018) Privacy-Preserving Consensus-Based Energy Management in Smart Grids. IEEE Transactions on Signal Processing, 66, 6162-6176. https://doi.org/10.1109/TSP.2018.2872817 |
| [14] | 王秀茹, 刘刚, 黄华峰, 等. 考虑分布式电源的配电网无功调度和储能优化方法[J]. 电力科学与技术学报, 2022, 37(4): 134-142 208. |
| [15] | Meng, T., Lin, Z. and Shamash, Y.A. (2021) Distributed Cooperative Control of Battery Energy Storage Systems in DC Microgrids. IEEE/CAA Journal of Automatica Sinica, 8, 606-616. https://doi.org/10.1109/JAS.2021.1003874 |
| [16] | 邓超, 唐旗, 郭方洪, 等. FDI攻击下有源配电网储能系统安全控制[J]. 控制与决策, 2023, 38(8): 2346-2354. |
| [17] | Chen, P., Liu, S., Chen, B., et al. (2022) Multi-Agent Reinforcement Learning for Decentralized Resilient Secondary Control of Energy Storage Systems against DoS Attacks. IEEE Transactions on Smart Grid, 13, 1739-1750. https://doi.org/10.1109/TSG.2022.3142087 |
| [18] | Olfati-Saber, R., Fax, J.A. and Murray, R.M. (2007) Consensus and Cooperation in Networked Multi-Agent Systems. Proceedings of the IEEE, 95, 215-233. https://doi.org/10.1109/JPROC.2006.887293 |
| [19] | Yang, Y.D., Hu, K.Y. and Tsai, C.H. (2019) Digital Battery Management Design for Point-of-Load Applications with Cell Balancing. IEEE Transactions on Industrial Electronics, 67, 6365-6375. https://doi.org/10.1109/TIE.2019.2940001 |
| [20] | 施锐, 张新燕, 刘莎莎, 等. 基于SOC均衡的分布式电池储能系统协同控制策略[J]. 太阳能学报, 2023, 44(9): 546-552. |
| [21] | Mo, Y. and Murray, R.M. (2019) Privacy Preserving Average Consensus. IEEE Transactions on Automatic Control, 62, 753-765. https://doi.org/10.1109/TAC.2016.2564339 |
