Quantification of gains and risks of static thermal rating based on typical meteorological year

Heckenbergerová, Jana; Musilek, Petr; Filimonenkov, Konstantin

doi:10.1016/j.ijepes.2012.07.005

Cited by 34 publications

(18 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To reduce the risks caused by overload, the further analysis of capacity improvement and acceptable risk tolerance levels are performed in this section. Both the static and dynamic way are expected to improve transmission capacity, and increased ampacity value is calculated using the line rating model in different rating schemes [12,13]. To quantify the risk level of the STR and DTR schemes in each rating scale, the risk tolerance level is calculated as in (17)…”

Section: Capacity Improvements and Risk Levelsmentioning

confidence: 99%

See 1 more Smart Citation

Analysis on Ampacity of Overhead Transmission Lines Being Operated

Yan¹,

Wang²,

Liang³

2017

J Inf Process Syst

View full text Add to dashboard Cite

Dynamic thermal rating (DTR) system is an effective method to improve the capacity of existing overhead line. According to the methodology based on CIGRE (International Council on Large Electric systems) standard, ampacity values under steady-state heating balance can be calculated from ambient environmental conditions. In this study, simulation analysis of relations between parameters and ampacity is described as functional dependence, which can provide an effective basis for the design and research of overhead transmission lines. The simulation of ampacity variation in different rating scales is described in this paper, which are determined from real-time meteorological data and conductor state parameters. To test the performance of DTR in different rating scales, capacity improvement and risk level are presented. And the experimental results show that the capacity of transmission line by using DTR has significant improvement, with low probability of risk. The information of this study has an important reference value to the operation management of power grid.

show abstract

Section: Capacity Improvements and Risk Levelsmentioning

confidence: 99%

“…Thus, the risk of thermal overload may be trigged by using seasonal rating. At this point, the aging of line, the increase of line sag and other security problems must be considered in the operation of transmission lines [13,14]. …”

Section: Analysis Of Strmentioning

confidence: 99%

Analysis on Ampacity of Overhead Transmission Lines Being Operated

Yan¹,

Wang²,

Liang³

2017

J Inf Process Syst

View full text Add to dashboard Cite

show abstract

“…At 80%, the number of overloading cases has been increased with a total of 192 for test 1 and 32 for test 2. It is in light of this point that line [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] was the first to be chosen to implement the DLR. This line has a base case ampacity of 0.5 kA with a resistance of 0.11 Ω/km.…”

Section: Determining Suitable Dlr Candidatesmentioning

confidence: 99%

“…The main issue with the DLR is quality of data [8][9]. The wind attack angle and the wind speed affecting a transmission line is not always a constant for long distance lines, hence current methods for calculation the DLR become unsuitable [8,10].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparative analysis of dynamic line rating models and feasibility to minimise energy losses in wind rich power networks

Simms

Meegahapola

2013

Energy Conversion and Management

View full text Add to dashboard Cite

Wind power generation has indicated an exponential increase during last two decades and existing transmission network infrastructure is increasingly becoming inadequate to transmit remotely generated wind power to load centres in the network. The dynamic line rating (DLR) is one of the viable solutions to improve the transmission line ampacity during high wind penetration without investing on an additional transmission network. The main objective of this study is to identify the basic differences between two main line rating standards, since transmission network service providers (TNSPs) heavily depend on these two standards when developing their line rating models. Therefore, a parameter level comparison between two line rating models is a timely requirement, in particular for high wind conditions. Study has shown that roughness factor causes a significant difference between both standards. In particular, the IEEE model indicates more conservative approach due to this parameter. In addition, solar heat-gain calculation has also resulted in significant difference in ampacity ratings between two standards. A case study was developed considering a wind rich network and it has shown that by implementing DLR in wind rich regions, it can effectively reduce line overloading incidents and accommodate wind power flows in the network without any curtailment. Moreover, ability of DLR to reduce network energy losses is also demonstrated and emphasised the importance of selecting suitable DLR candidates to minimise energy losses in the network. © 2013 Elsevier Ltd. All rights reserved. AbstractWind power generation has indicated an exponential increase during last two decades and existing transmission network infrastructure is increasingly becoming inadequate to transmit remotely generated wind power to load centres in the network. The dynamic line rating (DLR) is one of the viable solutions to improve the transmission line ampacity during high wind penetration without investing on an additional transmission network. The main objective of this study is to identify the basic differences between two main line rating standards, since transmission network service providers (TNSPs) heavily depend on these two standards when developing their line rating models. Therefore, a parameter level comparison between two line rating models is a timely requirement, in particular for high wind conditions. Study has shown that roughness factor causes a significant difference between both standards. In particular, the IEEE model indicates more conservative approach due to this parameter. In addition, solar heatgain calculation has also resulted in significant difference in ampacity ratings between two standards. A case study was developed considering a wind rich network and it has shown that by implementing DLR in wind rich regions, it can effectively reduce line overloading incidents and accommodate wind power flows in the network without any curtailment. Moreover, ability of DLR to reduce network energy losses is also demonstrated ...

show abstract