Estimation of Impulsive Noise in an Electricity Substation

Shan, Qingshan; Glover, Ian; Atkinson, Robert; Bhatti, Shahzad Ahmed; Portugues, I.E.; Moore, P.J.; Rutherford, R. B.; Vieira, Maria de Fátima Q.; Lima, A.M.N.; Souza, Benemar Alencar de

doi:10.1109/temc.2010.2092782

Cited by 36 publications

(11 citation statements)

References 16 publications

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“…For measuring the electromagnetic pulses radiated by partial discharges, several experiments have been conducted with antennas [ 30 , 31 , 32 ]. For example, in [ 33 ], Shan et al presented a procedure for measuring impulsive noise in electricity substations with three antennas covering the range 100 MHz–6 GHz. However, since the measurement in power lines is not always possible due to several constraints such as the climatic conditions and the availability of qualified personnel, another alternative has been designed to evaluate the partial discharges.…”

Section: Impulsive Noise Measurementsmentioning

confidence: 99%

Analysis and Experimental Validation of Efficient Coded OFDM for an Impulsive Noise Environment

Sarr

Agba

Gagnon

et al. 2018

Sensors

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The importance of synergy with industry lies in the possibility of experimental validation of the work research results. With Software-Defined Radio (SDR) platforms, it is possible to implement a physical layer and to have tests with hardware in a real environment. In this paper, we investigate the validation of an impulsive noise resistant physical layer based on Orthogonal Frequency Division Multiplexing (OFDM) and an interesting concatenation of forward error correcting codes: Rank metric Code (RC) and Convolutional Code (CC). We fully design and implement a new block namely RC Encoder + WiFi Mapper in GNU Radio, which acts as a forward error correcting code to mitigate impulsive noise occurring in substations. After showing by simulations that using this coding scheme is very efficient in mitigating the bursty nature of impulsive noise, we then confirm that the same performance is maintained even with various impulsive voltages and experimental scenarios, which confirms the high performance of the proposed approach.

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Section: Impulsive Noise Measurementsmentioning

confidence: 99%

Analysis and Experimental Validation of Efficient Coded OFDM for an Impulsive Noise Environment

Sarr

Agba

Gagnon

et al. 2018

Sensors

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“…Various other experiments for the estimation of impulsive noise in different frequency bands have also been conducted. According to the measurement set up in [6], four types of antennas are used for monitoring the partial discharge. Two quasi-TEM half horns, designed to capture signals in frequency bands 0.716 -1.98 GHz and 1.92 -5 GHz, a high band (HB) horn, that covers the range 2 -6 GHz and a low band (LB) horn to cover the range 0.7 -2 GHz.…”

Section: Impulsive Noise Environment In Electrical Substationmentioning

confidence: 99%

Comparative study of Wireless Sensor Network standards for application in Electrical Substations

Labeau

Agarwal

Agba

2015

2015 International Conference on Computing, Communication and Security (ICCCS)

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Power utilities around the world are modernizing their grid by adding layers of communication capabilities to allow for more advanced control, monitoring and preventive maintenance. Wireless Sensor Networks (WSNs), due to their ease of deployment, low cost and flexibility, are considered as a solution to provide diagnostics information about the health of the connected devices and equipment in the electrical grid. However, in specific environments such as high voltage substations, the equipment in the grid produces a strong and specific radio noise, which is impulsive in nature. The robustness of off-the-shelf equipment to this type of noise is not guaranteed; it is therefore important to analyze the characteristics of devices, algorithms and protocols to understand whether they are suited to such harsh environments. In this paper, we review several WSN standards: 6LoWPAN, Zigbee, WirelessHART, ISA100.11a and OCARI. Physical layer specifications (IEEE 802.15.4) are similar for all standards, with considerable architectural differences present in the higher layers. The purpose of this paper is to determine the appropriate WSN standard that could support reliable communication in the impulsive noise environment, in electrical substations. Our review concludes that the WirelessHART sensor network is one of the most suitable to be implemented in a harsh impulsive noise environment.

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“…The HV substation generates strong radio frequency noise capable of disrupting the operation of communication networks. In particular, noise caused by partial discharge (PD) has attracted more attention in HV substation [17], and are due to breakdown in dielectric ultimately resulting into impulsive component of current. In order to design communication in such environment, the HV substation environment has to be characterized to accurately estimate communication performances.…”

Section: A Awgn and Impulsive Noisementioning

confidence: 99%

Cooperative closed-loop MIMO selective transmissions in a HV environment

Oyedapo

Vrigneau

Vauzelle

2014

2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)

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Integrated communications with sensing and measurements are relevant technologies identified to provide automation for the smart grid (SG) applications. Incorporating intelligence into the electrical grid necessitates the gathering of relevant information in in realtime from variety of electrical utility sources located either at the bulk generation, transmission, distribution or customer domain. The deployment of wireless sensor network (WSN) is an attractive solution for such task, due to certain merits. In this paper, we show how large WSN cluster could benefit from distributed max-dmin MIMO precoder with a proposed node selection technique offering a realistic implementation. We exploit spatial diversity of the nodes to make the channel state information (CSI) available at transmitting nodes organized into a cluster. Performance evaluation of the nodes selection technique shows substantial amount of energy can be saved in high voltage (HV) power substation channel environment that is corrupted by Additive White Gaussian Noise (AWGN), impulsive noise, and node synchronization errors.

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Estimation of Impulsive Noise in an Electricity Substation

Cited by 36 publications

References 16 publications

Analysis and Experimental Validation of Efficient Coded OFDM for an Impulsive Noise Environment

Analysis and Experimental Validation of Efficient Coded OFDM for an Impulsive Noise Environment

Comparative study of Wireless Sensor Network standards for application in Electrical Substations

Cooperative closed-loop MIMO selective transmissions in a HV environment

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