摘要翻译：
直流微电网符合可再生能源的分布式控制，在保证电网电压稳定的前提下，实现了不同电源管理单元之间有效的瞬时功率共享和能量接入。本文描述了一种可扩展直流微电网的设计指标和性能评估，其中电源变换器的发电功率查找表符合一组两个家庭PMU之间的有效功率共享现象的分布。电源变换器与300 W光伏板相连，采用扰动和观测(P&O)方法执行最大功率点跟踪(MPPT)。boost平均DCDC变换器拓扑用于在传输前增强源变换器的电压电平。负载变换器由两个并联的PMU组成，每一个PMU都由基于高开关频率的全桥(FB)变换器构成，为集成储能系统(ESS)充电。本文在MATLAB/SIMULINK平台上，利用ESSs对整个系统进行了建模和仿真，将铅酸电池连接到FB变流器的负载侧，以支持边缘化的电力系统。该系统的行为测试在不同的太阳曝晒水平，以及几个电池充电水平12伏和36伏，以评估功率效率。在每个试验台上，效率都在93%以上，证明了该框架的可靠性，并生成了包含电网和负荷数量的查找表，用于有效控制电力传输。
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英文标题：
《Performance Analysis of a Scalable DC Microgrid Offering Solar Power
  Based Energy Access and Efficient Control for Domestic Loads》
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作者：
Abu Shahir Md. Khalid Hasan, Dhiman Chowdhury, Mohammad Ziaur Rahman
  Khan
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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：
  DC microgrids conform to distributed control of renewable energy sources which ratifies efficacious instantaneous power sharing and sustenance of energy access among different domestic Power Management Units (PMUs) along with maintaining stability of the grid voltage. In this paper design metrics and performance evaluation of a scalable DC microgrid are documented where a look-up table of generated power of a source converter complies with the distribution of efficient power sharing phenomenon among a set of two home PMUs. The source converter is connected with a Photovoltaic panel of 300 W and uses Perturb and Observation (P&O) method for executing Maximum Power Point Tracking (MPPT). A boost average DCDC converter topology is used to enhance the voltage level of the source converter before transmission. The load converter consists of two parallely connected PMUs each of which is constructed with high switching frequency based Full Bridge (FB) converter to charge an integrated Energy Storage System (ESS). In this paper the overall system is modeled and simulated on MATLAB/Simulink platform with ESSs in the form of Lead Acid batteries connected to the load side of the FB converter circuits and these batteries yield to support marginalized power utilities. The behaviour of the system is tested in different solar insolation levels along with several battery charging levels of 12 V and 36 V to assess the power efficiency. In each testbed the efficiency is found to be more than 93% which affirm the reliability of the framework and a look-up table is generated comprising the grid and load quantities for effective control of power transmission.
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PDF链接：
https://arxiv.org/pdf/1801.00907