Monitoring and analysis of low-voltage network with smart grid architecture model by developing use cases

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC International Journal on Smart Sensing and Intelligent Systems Pub Date : 2021-01-01 DOI:10.21307/IJSSIS-2021-004
H. Kumar, J. Kumar, J. Devi
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引用次数: 1

Abstract

Abstract The objective of this paper is to show the characteristics of smart meters enabling to monitor and analyze the low-voltage (LV) network. This is achieved by developing use cases, where power quality and outage data are transferred from smart meters through distribution network to the control center. To visualize the monitoring process of LV network, the use cases are mapped into smart grid architecture model. The paper proposes a solution to analyze the LV network interruption and power quality problems (over-voltage, under-voltage, voltage sags, and swells). Thus, this paper provides a smart platform for monitoring LV network.
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基于开发用例的智能电网架构模型对低压电网的监测与分析
摘要本文的目的是展示智能电表的特点,使其能够监测和分析低压网络。这是通过开发用例来实现的,其中电能质量和停电数据通过配电网从智能电表传输到控制中心。为了可视化LV网络的监控过程,将用例映射到智能电网架构模型中。本文提出了一种分析低压电网中断和电能质量问题(过电压、欠电压、电压骤降和浪涌)的解决方案。因此,本文为低压电网的监测提供了一个智能平台。
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来源期刊
CiteScore
2.70
自引率
8.30%
发文量
15
审稿时长
8 weeks
期刊介绍: nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity
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