Dynamic line rating forecastability for conservative day-ahead line rating values

Uski, Sanna

doi:10.1109/iecon.2015.7392683

Cited by 4 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is due, at least in part, to the resolution of mesoscale models, which are not enough to account for the local effects of wind [17]. To avoid this issue, > REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 3 in [29], a conservative ampacity prediction is made that takes air temperature forecasts into account but uses static values for wind and solar radiation. Thus, a reduced risk is achieved, but in return, only a minor portion of the thermal capacity of overhead lines is made available when small convective cooling is considered.…”

Section: B Nwp-based Ampacity Predictionmentioning

confidence: 99%

Overhead Line Ampacity Forecasting With a Focus on Safety

Alberdi

Albizu

Fernández

et al. 2022

IEEE Trans. Power Delivery

View full text Add to dashboard Cite

Predictions of the ampacity of overhead lines can be framed in a general context that aims to make electric grids highly efficient and reliable. In this paper, a methodology is presented that provides ampacity forecasts, which are valid for both the very short term, such as a few minutes or hours, and longer terms, up to 24 hours ahead. The former can be useful for grid operations, while the latter may be valuable in electricity markets. A time series methodology and mesoscale weather forecasts have been combined in machine learning algorithms for producing reliable ampacity forecasts for a span located in complex terrain. In a prior step, the developed algorithms made point forecasts, but finally, a computationally inexpensive algorithm produces probabilistic forecasts. These probabilistic forecasts are nonparametric, as they are not based on predefined probability distributions, and they demonstrate how a low risk in overhead lines is closely related to the reliability of ampacity forecasts.

show abstract

Section: B Nwp-based Ampacity Predictionmentioning

confidence: 99%

Overhead Line Ampacity Forecasting With a Focus on Safety

Alberdi

Albizu

Fernández

et al. 2022

IEEE Trans. Power Delivery

View full text Add to dashboard Cite

show abstract

“…DLR systems can also be utilized for several different applications such as security constrained unit commitment, optimal power flow, line rating forecasting, and need-based maintenance of lines instead of the traditional time-based maintenance [9,10,11].…”

Section: A Motivationmentioning

confidence: 99%