A new method for real-time monitoring of high-voltage transmission-line conductor sag

Olsen, R.G.; Edwards, K.S.

doi:10.1109/tpwrd.2002.804015

Cited by 62 publications

(18 citation statements)

References 8 publications

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“…Currently, devices are increasingly used to estimate RTLR. For example, several devices to monitor conductor ampacity have been developed [5], [6], along with systems to estimate RTLR over large network areas using weather data. In order to fully exploit the advantages provided by DLR, circuit ampacity forecasts are often required, as most grid operation decisions are taken at least one day ahead.…”

Section: Fig 1 Evolution Of Static Line Rating and Real Line Ratingmentioning

confidence: 99%

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Overhead lines Dynamic Line rating based on probabilistic day-ahead forecasting and risk assessment

Dupin

Kariniotakis

Michiorri

2019

International Journal of Electrical Power & Energy Systems

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Dynamic Line Rating is a technology devised to modify an overhead line's current-carrying capacity based on weather observation. The benefits of this modification may include reduced congestion costs, an increased renewable energy penetration rate, and improved network reliability. DLR is already well developed, but few papers in the literature investigate DLR day-ahead forecasting. The latter is central to DLR development since many of the decisions related to grid management are taken at least on a day-ahead basis. In this paper, two problems related to DLR forecasts are dealt with: how to achieve precise, reliable calculations of day-ahead forecasts of overhead line ampacity and how to define a methodology to calculate safe rating values using these forecasts. On the first point, four machine-learning algorithms were evaluated, identifying the best approach for this problem and quantifying the potential performance. On the second point, the developed methodology was tested and compared to the current static line rating approach.

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Section: Fig 1 Evolution Of Static Line Rating and Real Line Ratingmentioning

confidence: 99%

“…Values of the forecast variable Y are calculated for each quantile  a function ̂ as shown in (5). Then the function ̂ is set as a linear function of the input , with its parameters defined to minimize (4) and can be calculated as in (6) where and .…”

Section: Quantile Linear Regression Model (Qlr)mentioning

confidence: 99%

Overhead lines Dynamic Line rating based on probabilistic day-ahead forecasting and risk assessment

Dupin

Kariniotakis

Michiorri

2019

International Journal of Electrical Power & Energy Systems

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“…The other model, without measuring the wind speed, is also established based on the conductor sag (i.e., Temperature-Sag model) [28,29]. Instead of measuring directly by sensors, the conductor temperature is calculated by the sag-temperature behavior [30].…”

Section: Introductionmentioning

confidence: 99%

An Equivalent Heat Transfer Model Instead of Wind Speed Measuring for Dynamic Thermal Rating of Transmission Lines

et al. 2020

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With the increase in electricity demand, the ampacity calculation based on the dynamic thermal rating (DTR) technology is increasingly significant for assessing and improving the power transfer capacity of the existing overhead conductors. However, the DTR models now available present some inadequacies in measurement techniques related to wind speed. Therefore, it is essential to propose a new model instead of wind speed measuring in DTR technology. In this paper, the influence analysis of various weather parameters on the conductor ampacity is carried out by using the real weather data. Based on the analysis, it is confirmed that the impact of wind speed is significant, especially in the case of the low wind speed. Moreover, an equivalent heat transfer (EHT) model for DTR technology is proposed instead of wind speed measuring. For this EHT model, the calculation of conductor ampacity is realized through investigating the correlation of heat losses between the heating aluminum (Al) ball and conductor. Finally, combined with the finite element method (FEM), the EHT model proposed in this paper is verified by the Institute of Electrical and Electronic Engineers (IEEE) standard. The results indicate that the error of the EHT model is less than 6% when employing the steady thermal behavior of the Al ball to calculate the ampacity. The EHT model is useful in the real-time thermal rating of overhead conductors. It can increase the utilization of overhead conductors while also avoiding the limitation of the existing measurement techniques related to wind speed.

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“…There are systems based on measuring the sag or tension of the conductor or weather-related magnitudes assuming that the right parameters of the lines are known, see e.g. Albizu et al (2013), Olsen and Edwards (2002) and the references therein. On the contrary, the approach proposed in this paper will determine the state of the line from the synchronized voltage and current phasor measurements measured by the phasor measurement units (PMU) from the both ends of the line and ambient weather conditions.…”

Section: Introductionmentioning

confidence: 99%

On-line Ampacity Monitoring from Phasor Measurements

Hering

Janeček

2014

IFAC Proceedings Volumes

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A new method for real-time monitoring of high-voltage transmission-line conductor sag

Cited by 62 publications

References 8 publications

Overhead lines Dynamic Line rating based on probabilistic day-ahead forecasting and risk assessment

Overhead lines Dynamic Line rating based on probabilistic day-ahead forecasting and risk assessment

An Equivalent Heat Transfer Model Instead of Wind Speed Measuring for Dynamic Thermal Rating of Transmission Lines

On-line Ampacity Monitoring from Phasor Measurements

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