Distributed Intelligence for Online Situational Awareness in Power Grids
Distributed Intelligence for Online Situational Awareness in Power Grids
复制标题
电网在线态势感知的分布式智能
DOI：
10.1109/tpwrs.2021.3128951
复制
发表时间：
2022
影响因子：
6.6
通讯作者：
Dehghanian, Payman
中科院分区：
文献类型：
--
作者：
Wang, Shiyuan;Li, Li;Dehghanian, Payman
本文提出了一套分析方法，建议嵌入电网的下一代智能传感器中。所提出的分析以电信号作为输入，并释放信号处理和机器学习的全部潜力，以实现实时事件检测和分类。同时，所提出的传感器技术中包含强大的同步相量估计机制，该机制将在检测到事件后触发，并始终指导自适应选择最适合（最准确）的同步相量估计算法。所提出的分布式智能解决方案技术将此类分析嵌入传感器内并靠近捕获波形的位置，从而减轻了通信故障和延迟以及恶意网络威胁的潜在风险。我们的实验表明，引入的方案提高了测量质量，具有良好的事件检测和分类精度，共同增强了现代电网的在线态势感知能力。
This paper presents a suite of analytics that are proposed to be embedded in next-generation smart sensors in electric power grids. The proposed analytics take the electrical signals as the input and unlock the full potential in signal processing and machine learning for real-time event detection and classification. Meanwhile, a robust synchrophasor estimation mechanism is housed within the proposed sensor technology that will be triggered following a detected event and guides on the adaptive selection of the best-fit (most accurate) synchrophasor estimation algorithms at all times. Embedding such analytics within the sensor and closer to where the waveforms are captured, the proposed distributed intelligence solution technology mitigates the potential risks to communication failures and latencies as well as malicious cyber threats. Our experiments demonstrate that the introduced scheme achieves improved quality of measurements with a promising event detection and classification accuracy, collectively resulting in enhanced online situational awareness in modern power grids.