Dynamic thermal rating of transmission lines: A review

Karimi, Soheila; Musílek, Petr; Knight, Andrew M.

doi:10.1016/j.rser.2018.04.001

Cited by 148 publications

(83 citation statements)

References 91 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…There are many approaches to implement the DLR such as: 1-Temperature focused approach, which monitors the conductor temperature directly, and then controls the line current so that it doesn't exceed the maximum allowable limit [10]. 2-Sag focused approach, in this approach the line rating is continuously set to prevent the sag of the overhead lines is kept under safe limits [7]. 3-Weather-based approach, which calculates the ampacity using loading and weather data, such as ambient temperature, wind speed, wind attack angle and solar radiation and line current [6].…”

Section: Dynamic Line Ratingmentioning

confidence: 99%

“…Authors in [5] showed that DLR could increase area-to-area transmission capacity thereby impacting electricity prices and benefiting electricity consumers. Authors in [6,7] illustrated an increase in the utilization of wind power owing to the increased load ability of a transmission line connected to a wind farm. In addition, [7] demonstrated that more wind power can be integrated into the grid with reduced load and intermittent renewable energy generation curtailments, also introduced other potential benefits of DLR including emergency control and congestion management are demonstrated.…”

Section: Introductionmentioning

confidence: 99%

“…Authors in [6,7] illustrated an increase in the utilization of wind power owing to the increased load ability of a transmission line connected to a wind farm. In addition, [7] demonstrated that more wind power can be integrated into the grid with reduced load and intermittent renewable energy generation curtailments, also introduced other potential benefits of DLR including emergency control and congestion management are demonstrated. The previous works on DLR focused mainly on wind intensive areas and considered DLR effect on accommodating more power from the wind.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Enhancing Power Flow with Dynamic Line Rating Effect Using Model Predictive Control

Sobhy¹,

Megahed²,

Abo‐Zahhad³

2024

RE&PQJ

View full text Add to dashboard Cite

Due to the high penetration of renewable energy "solar and wind", the overhead transmission line (OHTL) overloading problem arises, consequently the uncertainty increases. This makes it difficult to operate the energy system without violating the OHTL ampacity rating. To solve this problem, new transmission lines are created, which are costly and require considerable time. In the power system operation, the OHTL ampacity rating is maintained constant for all year, to ensure the safety and security of operation. However, OHTL is not used efficiently most of the time. Therefore, the dynamic line rating (DLR) is presented to ensure better utilization of available assets and to postpone the need to build new infrastructure. This paper introduces the power flow by considering the DLR characteristics of OHTL based on changes in the line ampacity due to the high penetration of intermittent sources. This paper provides a predictive control model to combine the effect of the expected DLR with the energy flow. The artificial neural network (ANN) is introduced for forecasting the DLR as a function of the conductor temperature, ambient temperature, wind speed, and solar radiation. Model predictive control (MPC) is used to control energy flow and DRL is used as a constraint in the control technique. The main features of MPC are the ability to reduce the disturbance and simple controls.

show abstract

Section: Dynamic Line Ratingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Enhancing Power Flow with Dynamic Line Rating Effect Using Model Predictive Control

Sobhy¹,

Megahed²,

Abo‐Zahhad³

2024

RE&PQJ

View full text Add to dashboard Cite

show abstract

“…Accordingly, transmission service providers are investigating alternative approaches that can efficiently utilize the transmission network. One of these approaches is the use of the DLR of transmission lines which depends on the real weather data to provide realistic loading conditions of the lines [5]. Therefore, this article will focus on the allocation problem of FACTS controllers while considering the DLR of transmission lines to improve the power system loadability in the presence of high penetration level of wind power.…”

Section: Introductionmentioning

confidence: 99%

Allocation of FACTS Devices Using a Probabilistic Multi-Objective Approach Incorporating Various Sources of Uncertainty and Dynamic Line Rating

et al. 2020

View full text Add to dashboard Cite

Flexible AC transmission system (FACTS) controller play an essential role in increasing the penetration level of renewable energy resources owing to their ability in continuously controlling the active and reactive power flow in the network. This paper presents a probabilistic multi-objective optimization approach to obtain the optimal sizes and locations of static var compensators (SVCs) and thyristor-controlled series capacitors (TCSCs) in a power transmission network with high penetration level of wind generation. The objective of the problem is to maximize the system loadability while minimizing the network power losses and the installation cost of the FACTS controllers. In this study, the uncertainties associated with wind power generation and the correlated load demand are considered. The uncertainties are handled in this work using the points estimation method. Moreover, the dynamic line ratings (DLRs) of the transmission lines are considered in this work. In this case, the maximum transmission capacity of transmission lines is estimated dynamically according to the weather conditions. Considering the DLRs or transmission lines is expected to avoid unrealistic congestion in the network, and hence, improve its loadability. The optimization problem is solved using the multi-objective teaching-learning based optimization (MO-TLBO) algorithm to find the best locations and ratings for the FACTS controllers. Additionally, a technique based on the fuzzy decisionmaking approach is employed to extract one of the Pareto optimal solutions as the best compromise. The proposed approach is applied on the modified IEEE 30-bus system. The numerical results demonstrate the effectiveness of the proposed approach and show that the maximum loadability limit of the study system increases when considering the DLR. This limit can be enhanced to 123.0% without FACTS controller and 137.0 % ,130 % and 132.0% by SVC, TCSC and (SVC-TCSC) respectively.

show abstract

“…DLR replaces the traditional static ratings by updating the ampacity values in real time based on weather conditions and cable temperature. In DLR, temperature acquisition over the cable is often combined with meteorological measurements, which allow for precise models of behavior of the line conductor and therefore optimal values of transmission line limits [3]. As recently reported [4], one of the environmental conditions that can considerably increase the temperature of the conductor in low wind speed conditions is solar radiation.…”

Section: Introductionmentioning

confidence: 99%

Fiber-based distributed bolometry

Magalhães¹,

García-Ruiz²,

Martins³

et al. 2019

Opt. Express

View full text Add to dashboard Cite

Optical fibers are inherently designed to allow no interaction between the guided light and the surrounding optical radiation. Thus, very few optical fiber-based technologies exist in the field of optical radiation sensing. Accomplishing fully-distributed optical radiation sensing appears then as even more challenging since, on top of the lack of sensitivity explained above, we should add the need of addressing thousands of measurement points in a single, continuous optical cable. Nevertheless, it is clear that there exist a number of applications which could benefit from such a distributed sensing scheme, particularly if the sensitivity was sufficiently high to be able to measure correctly variations in optical radiation levels compatible with the earth surface. Distributed optical radiation sensing over large distances could be employed in applications such as Dynamic Line Rating (DLR), where it is known that solar radiation can be an important limiting factor in energy transmission through overhead power cables, and also in other applications such as thermo-solar energy. In this work, we present the proof-of-concept of the first distributed bolometer based on optical fiber technology and capable of detecting absolute changes of irradiance. The core idea of the system is the use of a special fiber coating with high emissivity (e.g., carbon coating or black paint). The high absorption of these coatings translates into a temperature change that can be read with sufficiently high sensitivity using phase-sensitive reflectometry. To demonstrate the concept, we interrogate distinct black-coated optical fibers using a chirped-pulse ΦOTDR, and we readily demonstrate the detection of light with resolutions in the order of 1% of the reference solar irradiance, offering a high-potential technology for integration in the aforementioned applications.

show abstract

Dynamic thermal rating of transmission lines: A review

Cited by 148 publications

References 91 publications

Enhancing Power Flow with Dynamic Line Rating Effect Using Model Predictive Control

Enhancing Power Flow with Dynamic Line Rating Effect Using Model Predictive Control

Allocation of FACTS Devices Using a Probabilistic Multi-Objective Approach Incorporating Various Sources of Uncertainty and Dynamic Line Rating

Fiber-based distributed bolometry

Contact Info

Product

Resources

About