Prediction of Dynamic Line Rating Based on Assessment Risk by Time Series Weather Model

Kim, Dong-Min; Cho, Jong-Man; Lee, Hyo-Sang; Jung, Hunsang; Kim, Jin-O

doi:10.1109/pmaps.2006.360329

Cited by 21 publications

(11 citation statements)

References 6 publications

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“…Hence, it limits the actual capability of transmitting electric power [18]. If the real-time weather-based information is used in place of fixed assumptions, then actual capacity of overhead lines can be obtained.…”

Section: A Weather Based Dynamic Ratingmentioning

confidence: 99%

“…If the real-time weather-based information is used in place of fixed assumptions, then actual capacity of overhead lines can be obtained. This study is developed on the basis of equations provided in IEEE-738-2006 standard (see section II) [14] and the real-time weather data [18].…”

Section: A Weather Based Dynamic Ratingmentioning

confidence: 99%

“…Mainly, DLR is used for two purposes: first, to increase the capacity of overhead conductor in terms of transmitting the maximum electric current and second, to help in the transfer of electricity during peak load and emergency states [18]. To gain an overall picture of the changes in conductor (VL3) ampacity based on SLR assumptions, see Table I.…”

Section: A Weather Based Dynamic Ratingmentioning

confidence: 99%

See 2 more Smart Citations

Implementation of Dynamic Line Rating technique in a 130 kV regional network

Talpur

Wallnerström

Hilber

et al. 2014

17th IEEE International Multi Topic Conference 2014

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Abstract-This paper investigates the possibility of using Dynamic Line Rating (DLR) to increase the existing power transmission capacity of overhead lines. The main contribution is to combine theoretical calculations and modeling with real application to conclude benefits of DLR. Both introduction of relevant theory and a case study on a power distribution system in Sweden are included. The concept of DLR implies that the capacity of a component dynamically varies as a function of external parameters, such as weather conditions and loading history. Traditionally, the rating is statically set from simulations of worst-case scenarios. Based on conventional static line rating (SLR) methods, the actual current carrying capability of overhead conductors is underestimated. When an increase in the line current capacity is needed, overhead lines may be rated based on a method that allows system operators to run the lines closer to their actual real-time capacity.Furthermore, the paper addresses the problems of observing safe ground clearance requirements. Knowing the conductor temperature, when it transmits the required electricity is an important factor to be taken into consideration. Therefore, based on real-time ambient conditions with actual line loading and with the help of IEEE-738-2006 standard, the conductor temperature is also calculated in this paper. Finally, an economic analysis is performed to evaluate the financial advantages of applying the dynamic line ratings approach compared to traditional static line ratings technique for a specific overhead conductor (VL3).

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Section: A Weather Based Dynamic Ratingmentioning

confidence: 99%

Section: A Weather Based Dynamic Ratingmentioning

confidence: 99%

Section: A Weather Based Dynamic Ratingmentioning

confidence: 99%

See 1 more Smart Citation

Implementation of Dynamic Line Rating technique in a 130 kV regional network

Talpur

Wallnerström

Hilber

et al. 2014

17th IEEE International Multi Topic Conference 2014

View full text Add to dashboard Cite

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“…Weather-based DLR forecasting techniques which use weather condition predictions are being developed widely for different forecast horizons in operational planning and near real-time system operation so as to forecast the electricity transmission congestion and to plan grid operation and the energy market [3], [7]- [9]. Reliable and accurate weather forecasting is a prerequisite for the system operator having confidence in the provided DLR predictions to dispatch power flows.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic weather forecasting for dynamic line rating studies

Fan

Bell

Infield

2016

2016 Power Systems Computation Conference (PSCC)

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Abstract-This paper aims to describe methods to determine short term probabilistic forecasts of weather conditions experienced at overhead lines (OHLs) in order to predict percentiles of dynamic line ratings of OHLs which can be used by a system operator within a chosen risk policy with respect to probability of a rating being exceeded. Predictive probability distributions of air temperature, wind speed and direction are assumed to be normal, truncated normal and von Mises respectively. Predictive centres are estimated as a sum of residuals predicted by a univariate auto-regressive model or a vector auto-regressive model and temporal trends fitted by a Fourier series. Conditional heteroscedasticity of the predictive distribution is modelled as a linear function of recent changes in residuals within one hour for air temperature and wind speed or concentration of recent wind direction observations within two hours. Parameters of the probabilistic models are determined to minimize the average value of continuous ranked probability score which is a summary indicator to assess performance of probabilistic models. The conditionally heteroscedastic models are shown to have appropriate sharpness and better calibration than the respective homoscedastic models.

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“…They can be briefly classified in 1) DLR forecast from power systems load and weather prediction [2], [3], 2) DLR estimation from indirect measurements [4], and 3) real-time DLR evaluation using integrated meteorological data [5].…”

Section: Introductionmentioning

confidence: 99%

Security constrained unit commitment with dynamic thermal line rating

2016

2016 IEEE Power and Energy Society General Meeting (PESGM)

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Abstract-The integration of the dynamic line rating (DLR) of overhead transmission lines (OTLs) in power systems security constrained unit commitment (SCUC) potentially enhances the overall system security as well as its technical/economic performances. This paper proposes a scalable and computationally efficient approach aimed at integrating the DLR in SCUC problem. The paper analyzes the case of the SCUC with AC load flow constraints. The AC-optimal power flow (AC-OPF) is linearized and incorporated into the problem. The proposed multi-period formulation takes into account a realistic model to represent the different terms appearing in the Heat-Balance Equation (HBE) of the OTL conductors. In order to include the HBE in the OPF, a relaxation is proposed for the heat gain associated to resistive losses while the inclusion of linear approximations are investigated for both convection and radiation heat losses. A decomposition process relying on the Benders decomposition is used in order to breakdown the problem and incorporate a set of contingencies representing both generators and line outages. The effects of different linearization, as well as time step discretization of HBE, are investigated. The scalability of the proposed method is verified using IEEE 118-bus test system.

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Prediction of Dynamic Line Rating Based on Assessment Risk by Time Series Weather Model

Cited by 21 publications

References 6 publications

Implementation of Dynamic Line Rating technique in a 130 kV regional network

Implementation of Dynamic Line Rating technique in a 130 kV regional network

Probabilistic weather forecasting for dynamic line rating studies

Security constrained unit commitment with dynamic thermal line rating

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