摘要翻译：
随着人们对气候变化认识的提高，人们已经向利用可再生能源的方向发生了巨大的转变。在这方面，智能电网技术已经提出，以促进更高的渗透的RES。微电网是智能电网的关键组成部分。微电网可以将各种分布式能源(DER)如分布式发电(DGs)和储能系统(ESS)集成到配电系统中，从而消除或推迟配电扩展的需要。公用事业的一个关键要求是确保系统的可靠性与包括微电网拓扑。因此，本文采用分析-仿真混合方法对含有优先负荷和分布RES的微电网的可靠性进行了评估。RES的随机性给可靠性评估带来了复杂性。该方法通过蒙特卡罗状态采样模拟，考虑了RES的变异性。结果表明，在微网拓扑结构的存在下，整个系统的可靠性得到了提高。特别是，优先级最高的负载对可靠性指标的改善幅度最大。此外，还对微网孤岛故障的影响进行了灵敏度分析，以了解上游电网发生故障时微网孤岛故障的影响。
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英文标题：
《Reliability assessment of microgrid with renewable generation and
  prioritized loads》
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作者：
O. A. Ansari, N. Safar, C. Y. Chung
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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：
  With the increase in awareness about the climate change, there has been a tremendous shift towards utilizing renewable energy sources (RES). In this regard, smart grid technologies have been presented to facilitate higher penetration of RES. Microgrids are the key components of the smart grids. Microgrids allow integration of various distributed energy resources (DER) such as the distributed generation (DGs) and energy storage systems (ESSs) into the distribution system and hence remove or delay the need for distribution expansion. One of the crucial requirements for utilities is to ensure that the system reliability is maintained with the inclusion of microgrid topology. Therefore, this paper evaluates the reliability of a microgrid containing prioritized loads and distributed RES through a hybrid analytical-simulation method. The stochasticity of RES introduces complexity to the reliability evaluation. The method takes into account the variability of RES through Monte- Carlo state sampling simulation. The results indicate the reliability enhancement of the overall system in the presence of the microgrid topology. In particular, the highest priority load has the largest improvement in the reliability indices. Furthermore, sensitivity analysis is performed to understand the effects of the failure of microgrid islanding in the case of a fault in the upstream network.
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PDF链接：
https://arxiv.org/pdf/1709.0797