English: Resilient state estimation and security control in power systems are crucial technologies for ensuring reliable grid operation, especially in complex scenarios such as extreme events, cyber attacks, or high penetration of renewable energy integration. State Estimation (SE) calculates real-time grid operating states (node voltage magnitudes and phase angles) from measurement data (e.g., voltage, power). Practical power systems may face: Data contamination: Malicious attacks (e.g., False Data Injection Attacks, FDIA), measurement equipment failures, or communication interruptions. Model uncertainty: Network topology changes or parameter errors. Non-Gaussian noise: Outliers caused by renewable energy output fluctuations. The core of resilient state estimation lies in robust algorithms and redundant design to ensure accurate state estimation results under abnormal conditions. The goal of security control is to prevent the grid from entering unsafe states (e.g., voltage collapse, frequency instability). Resilient security control must meet performance requirements such as prevention, adaptability, and self-healing.

中文: 电力系统中的弹性状态估计与安全控制是保障电网可靠运行的关键技术，尤其在面对极端事件、网络攻击或高比例可再生能源接入等复杂场景时，其重要性更为突出。状态估计（State Estimation, SE）通过量测数据（如电压、功率等）实时计算电网的运行状态（节点电压幅值与相角），在实际电力系统中可能面临：数据污染：恶意攻击（如虚假数据注入攻击，FDIA）、量测设备故障或通信中断。模型不确定性：网络拓扑变化或参数错误。非高斯噪声：可再生能源出力波动导致的异常值。弹性状态估计的核心是通过鲁棒算法和冗余设计，确保在异常情况下仍能输出准确的状态估计结果。安全控制的目标是防止电网进入不安全状态（如电压崩溃、频率失稳）。弹性安全控制需满足预防性、适应性和自愈性等性能。