摘要翻译：
利用少数几台机组对电力系统进行稳定性分析，对暂态稳定评估有很大的应用前景。本文提出了一种完全基于部分能量函数思想的混合直接时域方法。在故障后阶段，将转子转速差较大的一对电机定义为耦合电机，将系统的稳定性分析转化为多对耦合电机的稳定性分析。该方法基于故障清除后采样窗口内耦合机功角曲线的预测，避免了惯性中心(COI)的定义，并可根据预测的功角曲线评估系统的稳定裕度。仿真结果表明了该方法在暂态稳定评估中的有效性。
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英文标题：
《Power System Transient Stability Assessment Using Couple Machines Method》
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作者：
Songyan Wang, Jilai Yu, Wei Zhang
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最新提交年份：
2017
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
  Analyzing the stability of the power system by using a few machines is promising for transient stability assessment. A hybrid direct-time-domain method that is fully based on the thinking of partial energy function is proposed in this paper. During post-fault period, a pair of machines with high rotor speed difference is defined as couple machines, and the stability analysis of the system is transformed into that of several pairs of couple machines. Based on the prediction of power-angle curve of couple machines within a sampling window after fault clearing, the proposed method avoids the definition of Center of Inertia (COI) and it can also evaluate the stability margin of the system by using the predicted power-angle curve. Simulation results demonstrate its effectiveness in transient stability assessment.
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PDF链接：
https://arxiv.org/pdf/1711.04256