检测与消除由柔性资源引起的振荡现象的去中心化方法
Decentralized Approach to Detect and Eliminate Flapping Phenomena due to Flexible Resources
AI总结：
本文提出一种去中心化方法，通过滑动窗口自相关和概率性缓解策略，使离散与连续设备能自主检测并消除电力系统中的振荡现象。
摘要：
本文提出了一种去中心化方法，用于检测和缓解电力系统中主要由离散设备运行引起的振荡现象。该方法对局部测量应用滑动窗口自相关，使每个设备能够自主识别持续振荡。检测到振荡后，执行概率性且特定于设备的缓解策略。利用柔性需求资源（DFRs）、带载分接开关（ULTCs）和自动电压调节器（AVRs）来说明该方法在离散和连续运行设备上的性能。结果表明，该方法具有鲁棒性，能正确区分阻尼振荡和持续振荡，使设备能够独立识别有问题的运行场景并相应地实施纠正措施。
英文摘要：
This paper presents a decentralized methodology for detecting and mitigating flapping phenomena in power systems, primarily caused by the operation of discrete devices. The proposed approach applies moving-window autocorrelation to local measurements, enabling each device to autonomously identify sustained oscillations. Upon detection, a probabilistic, device-specific mitigation strategy is executed. Flexible demand resources (DFRs), under-load tap changers (ULTCs), and automatic voltage regulators (AVRs) are utilised to illustrate the performance of the proposed approach to both discrete and continuous-operation devices. Results show that the proposed method is robust and properly distinguishes damped oscillations from persistent flapping, allowing devices to independently recognize problematic operating scenarios and implement corrective actions accordingly.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
