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面向指数无界虚假数据注入攻击的隐私保护、安全感知与抗攻击分布式协同控制
Privacy-Preserving, Safety-Aware, and Attack-Resilient Distributed Cooperative Control in AC Microgrids Against Exponentially Unbounded FDI Attacks
| 作者 | Mohamadamin Rajabinezhad · Nesa Shams · Yichao Wang · Shan Zuo |
| 期刊 | IEEE Transactions on Industry Applications |
| 出版日期 | 2025年10月 |
| 卷/期 | 第 62 卷 第 2 期 |
| 技术分类 | 控制与算法 |
| 技术标签 | 微电网 下垂控制 模型预测控制MPC 虚拟同步机VSG |
| 相关度评分 | ★★★★ 4.0 / 5.0 |
| 关键词 |
语言:
中文摘要
本文提出一种全分布式、隐私保护且安全感知的抗攻击(P2SA2R)控制框架,用于孤岛型逆变器主导交流微电网。通过融合控制屏障函数(CBF)与控制李雅普诺夫函数(CLF),在遭受强虚假数据注入攻击下仍保障频率/电压安全边界与功率共享,并集成动态输出掩码机制防止通信窃听。
English Abstract
This paper proposes a fully distributed, privacy-preserving, and safety-aware attack-resilient (P2SA2R) control framework for islanded inverter-based AC microgrids. The method ensures frequency regulation, voltage containment, and power sharing while withstanding a broad class of cyberattacks, including exponentially unbounded false data injection (EU-FDI) attacks on control inputs. Unlike prior work that addresses either transient safety or steady-state resilience in isolation, the proposed framework guarantees both, maintaining system states ultimately within safety bounds throughout the attacks. This is particularly critical for low-inertia inverter-based microgrids, which are highly susceptible to large overshoots and severe fluctuations during transients caused by disturbances or cyber threats. To address the vulnerability of information leakage due to eavesdropping in communication networks, a dynamic attack-aware output masking mechanism is integrated into the secondary control layer. This approach preserves privacy during information exchange with immediate neighbors in distributed control, without compromising consensus accuracy. Leveraging the privacy-preserved, an intelligent and fully distributed attack-resilient control framework is developed. A quadratic program (QP) is formulated to achieve the multiple objectives of the proposed P2SA2R strategy. By unifying Control Barrier Functions (CBFs) and Control Lyapunov Functions (CLFs), a rigorous theoretical analysis guarantees both ultimate safety and uniformly ultimately bounded (UUB) resilience under adversarial conditions. Simulation results on a modified IEEE 34-bus system confirm the framework’s effectiveness in achieving safety, privacy, and resilience under severe cyber threats.
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SunView 深度解读
该研究对阳光电源ST系列PCS、PowerTitan及iSolarCloud智能微网平台的网络安全与鲁棒控制具有直接参考价值。其CBF+CLF联合QP优化框架可增强构网型PCS在弱电网或攻击场景下的暂态安全裕度;动态掩码机制有助于提升多机协同控制中通信隐私性,建议在PowerTitan集群调度和iSolarCloud边缘侧协同控制模块中开展验证性集成,强化光储柴氢混合微网的主动防御能力。