Cross Layer Optimized ZigBee-based Data Collection and Monitoring of Grid Systems
Cross Layer Optimized ZigBee-based Data Collection and Monitoring of Grid Systems
批准号:
514126-2017
负责人:
Anpalagan, Alagan
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31
中文摘要
将信息和通信技术引入网格系统为设备的远程和实时监控提供了先进的能力。在智能电网系统中,无线继电器用于故障检测和电能质量分析的数据采集。当无线基站距离高压输电线路较近时,来自基站的信号以脉冲噪声的形式影响线路的监测。随着主要在城市地区的蜂窝基站数量的增加,这种脉冲噪声成为无线传输时导致数据完整性损失的问题。在这个项目中,我们将研究这个问题,以量化数据的丢失,并确定在这种嘈杂的环境中保持相同的数据质量所需的额外中继的数量。这将有助于优化继电器系统的操作(继电器的数量和位置)时,过度的噪声检测到的电力线。特别是,一个混合的网络架构组成的无线传感器网络和蜂窝网络将被认为是监测高压输电线路在城市和郊区。电晕噪声是这类线路的电磁干扰源之一。我们将首先描述蜂窝基站附近具有脉冲电晕噪声的无线信道;然后制定并解决基于Zigbee的线性和非线性无线传感器网络中的最佳中继/传感器数量问题。目标是开发一个矩阵,其中包含预期的额外继电器数量及其位置,这些继电器需要在不同强度的噪声水平下保持相同的数据质量。物理和MAC层参数对监测性能的影响也将被量化,并包括在矩阵中,用作中继系统的操作指南。
英文摘要
Incorporating information and communication technologies into grid systems provides advanced capabilitiesfor remote, and real-time monitoring and control of devices. In smart grid systems, wireless relays are used inthe data collection for fault detection and power quality analysis. When wireless base stations are closer to highvoltage transmission lines, the signals from the base stations impact the monitoring of the lines as impulsivenoise. With the growing number of cellular base stations mainly in urban areas, this impulsive noise becomes aproblem causing the loss of data integrity when wirelessly transmitted. In this project, we will study thisproblem to quantify the loss of data and to determine the number of additional relays required to maintain thesame data quality in this noisy environment. This will help optimize the relay system operations (number ofrelays and locations) when excessive noise is detected in power lines.In particular, a hybrid network architecture comprised of wireless sensor networks and cellular network will beconsidered to monitor the high voltage transmission lines in the urban and suburban areas. Corona noise is oneof the sources of electromagnetic interference in such lines. We will first characterize the wireless channel withimpulsive Corona noise near cellular base stations; then formulate and solve the problem of finding theoptimum number of relays/sensors in a Zigbee-based linear and non-linear wireless sensor networks. Goal is todevelop a matrix with the expected number of additional relays and their locations needed to maintain the samedata quality for various intensity of noise level. The effects of physical and MAC layer parameters on themonitoring performance will also be quantified and included in the matrix to be used as operational guidelinesin the relay system.
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