Execution of Real-time Wide Area Monitoring System with Big Data Functions and Practices

R. Chintakindi, A. Mitra
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引用次数: 8

Abstract

Wide Area Monitoring and Smart Automation (WAMSA), is today’s innovative research area under smart grid execution to overcome real-time protection difficulties. Modern communications and information processing technologies offer outstanding real-time benefits. The development of big data applications and satellite uplinks are rapidly changing. Several new measurement devices are being incorporated into an advanced smart grid metering infrastructure. In this process, PMUs can sense, converting signals from voltage and current into digital form under real-time wide-area monitoring systems. In modern power systems real-time applications point of view, big data analytics are playing a vital role with a rising technological concept that contains smart electricity facilities, for instance, smart power control, energy utilization, and management. Initially, it emphasized that smart grids, modern data analytics, massive-scale information control, and reliable monitoring methods with the extreme size of data. This paper summarizes the PMU setup and installation overview in the Unified Real-time Dynamic State Measurement project (URTDSM) with the Synchrophasor based wide-area monitoring system in India. The novelty of this paper is to focus on big data potential functions and practices like fault detection, transient stability, load forecasting, and power quality monitoring into real-time wide-area monitoring.
具有大数据功能的实时广域监控系统的实施与实践
广域监控与智能自动化(WAMSA),是当今智能电网实施下克服实时保护难题的创新研究领域。现代通信和信息处理技术提供了突出的实时性优势。大数据应用和卫星上行链路发展日新月异。一些新的测量设备正在被整合到先进的智能电网计量基础设施中。在此过程中,pmu可以在实时广域监控系统中感知并将电压和电流信号转换为数字形式。从现代电力系统实时应用的角度来看,大数据分析正在发挥着至关重要的作用,其中包含智能电力设施,例如智能电力控制,智能能源利用和管理。最初,它强调智能电网,现代数据分析,大规模信息控制和可靠的监测方法与极端数据量。本文综述了印度基于同步相量的广域监测系统统一实时动态测量项目(URTDSM)中PMU的设置和安装概况。本文的新颖之处在于将故障检测、暂态稳定、负荷预测、电能质量监测等大数据潜在功能和实践纳入实时广域监测。
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