Study of the Monitoring Systems for Dynamic Line Rating

Morozovska, Kateryna; Hilber, Patrik

doi:10.1016/j.egypro.2017.03.735

Cited by 46 publications

(20 citation statements)

References 15 publications

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“…An accurate knowledge of the electric grid state is crucial for operating the line as efficiently as possible and one of the most important grid parameters to be measured and controlled is the temperature of the overhead conductors due to their relation with the maximum allowable sag of the line and its thermal limit [4]. This paper presents the results of real-time monitoring of an overhead power line using a distributed temperature sensing system (DTS) [5,6] and compares these results with spot temperature measurements in order to estimate the loss of accuracy of having less thermal information.…”

Section: Introductionmentioning

confidence: 99%

Distributed vs. spot temperature measurements in dynamic rating of overhead power lines

Martínez

Useros

Castro

et al. 2019

Electric Power Systems Research

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The increase of global energy demand and new ways of electricity production are two of the main challenges for the power sector. The electric market has to address the addition of new and renewable sources of energy to the energy mix and to be able to integrate them into the grid, while maintaining the principles of robustness, security and reliability [1]. All of these changes point to the creation of smart grids, in which advanced generation, information and communication technologies are needed.An accurate knowledge of the electric grid state is crucial for operating the line as efficiently as possible and one of the most important grid parameters to be measured and controlled is the temperature of the overhead conductors due to their relation with the maximum allowable sag of the line and its thermal limit (annealing).This paper presents the results of real-time monitoring of an overhead power line using a distributed temperature sensing system (DTS) and compares these results with spot temperature measurements in order to estimate the loss of accuracy of having less thermal information. This comparison has been carried out in a 30 km long distributed temperature sensing system with fiber optic inside a LA-455 conductor and 6 weather stations placed along the line. An area of influence is defined for each weather station corresponding to the orography of the surroundings. The spot temperatures are obtained from the DTS in the nearest point from the weather stations assuming these six locations to be the ones where the spot temperature measurement equipment would be located.The main conclusion is that, in the case of study, spot measurements are enough to obtain a good approximation of the average temperature of the line conductor.

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Section: Introductionmentioning

confidence: 99%

Distributed vs. spot temperature measurements in dynamic rating of overhead power lines

Martínez

Useros

Castro

et al. 2019

Electric Power Systems Research

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“…The data type used for the system evaluation heavily influences the DTCR quality. Hence, different companies use different devices for DTCR [3]. Dynamic rating is an approach used to ensure the whole power system operation in a more effectual form.…”

Section: Introductionmentioning

confidence: 99%

Calibration of Dynamic Line Rating Model for Phasor Measurement Unit Based Wide Area Measurement System in Smart Grid Application

Hasan*,

Ahmed,

Musa

et al. 2019

IJRTE

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The inefficiency of power transmission lines always becoming an issue in power system analysis. One of the most applicable methods Dynamic Thermal Current Rating (DTCR) to measure the thermal line ratings of existing transmission lines. This DTCR system operated through Phasor Measurement Units (PMUs) in Wide Area Measurement (WAM) system of the Sarawak Energy. To calculate the line rating based on measured or predicted weather conditions of the overhead transmission lines. However, the existing DTCR system of Sarawak Energy facing several accuracy issues. Therefore, this paper intended to perform an extended study on the sensitivity analysis of conductors in overhead transmission lines using the dynamic thermal rating model. The parameters (wind speed, the density of air, solar radiation) that influence the thermal line ratings considered in measuring, assessing the conductors’ thermal effects and then these parameters were considered for the line rating models that dynamically will adjust the weather information of the conductor in overhead transmission lines on WAM systems. The performance of this study carried out using Matlab based simulation. The result shows that the proposed model that uses the dynamic factors brings the expected outcome in measuring the accurate ratings of the overhead transmission lines.

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“…DLR is commonly used when renewable sources with variable production capacity (such as solar power stations, wind farms, tidal or wave power plants) have to be integrated into the grid [3,6,7]. The production of these sources is not constant and depends on environmental conditions, such as wind speed or solar radiation.…”

Section: Introductionmentioning

confidence: 99%

Stream Data Cleaning for Dynamic Line Rating Application

et al. 2018

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The maximum current that an overhead transmission line can continuously carry depends on external weather conditions, most commonly obtained from real-time streaming weather sensors. The accuracy of the sensor data is very important in order to avoid problems such as overheating. Furthermore, faulty sensor readings may cause operators to limit or even stop the energy production from renewable sources in radial networks. This paper presents a method for detecting and replacing sequences of consecutive faulty data originating from streaming weather sensors. The method is based on a combination of (a) a set of constraints obtained from derivatives in consecutive data, and (b) association rules that are automatically generated from historical data. In smart grids, a large amount of historical data from different weather stations are available but rarely used. In this work, we show that mining and analyzing this historical data provides valuable information that can be used for detecting and replacing faulty sensor readings. We compare the result of the proposed method against the exponentially weighted moving average and vector autoregression models. Experiments on data sets with real and synthetic errors demonstrate the good performance of the proposed method for monitoring weather sensors.

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Study of the Monitoring Systems for Dynamic Line Rating

Cited by 46 publications

References 15 publications

Distributed vs. spot temperature measurements in dynamic rating of overhead power lines

Distributed vs. spot temperature measurements in dynamic rating of overhead power lines

Calibration of Dynamic Line Rating Model for Phasor Measurement Unit Based Wide Area Measurement System in Smart Grid Application

Stream Data Cleaning for Dynamic Line Rating Application

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