摘要翻译：
提出了一种将现有的无源和有源方法相结合来获得更好性能的新方法。该算法利用谐波检测、电压平均变化率和变换发电量在适当的时间对孤岛进行检测。该方法的谐波检测缩短了处理时间，并区分了孤岛和其他电力系统事件。对于谐波检测，采用了扩展卡尔曼滤波。此外，利用电压的平均变化率提高了方法的可靠性。该方法采用一种减少非检测区域的策略。在该策略中，定义了电压极限的最小和最大平均变化率，以提高系统的安全性。因此，一个合适的方法的三个主要指标，可靠性，安全性和过程的时间，通过这些被动和主动的方法的结合可以实现。通过在不同功率条件下应用不同的电力系统事件，在Simulink软件中进行了验证。
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英文标题：
《A Novel Hybrid Islanding Detection Method for Inverter-based DG》
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作者：
Maziar Isapour Chehardeh, Ehsan M Siavashi
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最新提交年份：
2018
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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：
  A novel method for achieving a better performance using the combination of the available passive and active methods has been proposed. The algorithm detects the islanding in proper time by using harmonic detection, the average rate of change of voltage and shifting power generation. Harmonic detection in this method decreases process time and also differentiates between islanding and other power systems events. For harmonic detection, extended Kalman filter has been used. Besides, the reliability of the method increases using the average rate of change of the voltage. The proposed method uses a strategy for decreasing the non-detection zone. In this strategy, minimum and maximum average rates of change of voltage limits are defined to improve the security of the system. Therefore, three main specifications of a proper method, reliability, security and time of process are achievable by the combination of these passive and active methods. By applying different power system events under different power conditions, the proposed method has been verified in Simulink software.
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PDF链接：
https://arxiv.org/pdf/1802.07313