On-line assessment of transmission line thermal rating using PMU data

Mousavi-Seyedi, Seyed Sina; Aminifar, Farrokh; Azimi, Sina; Garoosi, Zahra

doi:10.1109/sgc.2014.7090880

Cited by 12 publications

(2 citation statements)

References 8 publications

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“…This system optimizes grid capacity when wind speeds are high during cooler weather and night while maintaining an appropriate risk level [66]. Studies indicate that wind speed significantly impacts DLR, with higher wind speeds resulting in a considerable increase in DLR [66], [78], [86], [87]. DLR can be divided into two types, which are Ambient-Adjusted (DLR-AA) and Real Time Monitoring (DLR-RTM).…”

Section: Overview Of Dynamic Line Rating Systemmentioning

confidence: 99%

Optimizing Grid With Dynamic Line Rating of Conductors: A Comprehensive Review

Abas,

Ab Kadir,

Azis

et al. 2024

IEEE Access

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As the world is pledged towards net zero carbon by 2050, the need for clean and efficient energy transitions is more critical than ever. Optimizing the power grid transfer capacity is crucial for maintaining grid stability and reliability. Ageing infrastructure, population growth, and revolutionary technological developments increase the demand for grid modernization and resilience investments. Climate change and natural disasters highlight the need for adaptive load-shedding schemes. The two possible ways to optimize the grid are an ampacity increase or a voltage increase. While increasing voltage provides the most significant rise in rating, it comes with high investment costs. Out of all the options available, dynamic line rating (DLR) is the most efficient and cost-effective solution. This paper provides a comprehensive review of the optimization of the grid transfer capacity using DLR. The review critically examines different line rating methods, the DLR system, factors that need to be considered before DLR implementation, and its advantages and disadvantages. Also, the review presents the real-world applications and case studies, standards and regulations involved, and current approaches and challenges for implementing DLR in Malaysia. Additionally, we highlight the most commonly used standards to calculate the conductor's ampacity for the steady-state and dynamic state. Moreover, this review work presents how DLR can advance the grid's flexibility, considering its significance for cleaner energy production in the future, challenges related to wind energy power generation, and their mitigations. This work provides a shortcut path for researchers and utilities to understand DLR and as a reference for future research to advance clean energy in response to changing energy needs and climate conditions.

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Section: Overview Of Dynamic Line Rating Systemmentioning

confidence: 99%

Optimizing Grid With Dynamic Line Rating of Conductors: A Comprehensive Review

Abas,

Ab Kadir,

Azis

et al. 2024

IEEE Access

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“…The heat transfer coefficient α c can be determined with numerical criteria of similarity theory [18]. The equations for determining the coefficient with forced and natural convections can be calculated with equations (10) and (11)…”

Section: Temperature Determination On Outer Surface Of Conductor'smentioning

confidence: 99%

Influence of Insulation on Thermal Behavior of Overhead Line Conductors

Кузнецов¹,

Goryunov²,

Girshin³

et al. 2018

IJMERR

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To provide the accurate thermal rating of overhead power lines is required to consider the conductor temperature depending on a variety of weather factors. New types of conductors, such as overhead insulation-covered conductors are widely used in electrical networks. Wellknown IEEE 738 and CIGRE standards calculate the bare overhead conductors only and are not applicable for thermal rating of overhead insulation-covered conductors. Numerical methods are able to calculate the insulated conductors, but have many drawbacks, such as the difficulty of modeling and low computation speed. The authors propose an analytical mathematical model to determine the thermal rating both overhead insulation-covered and bare conductors. Results of temperature calculation and active power losses calculation for overhead insulation-covered and bare conductors with the same cross section at selected weather conditions and changes in load current have been presented. Neglect of insulation can lead to errors in calculating of temperature up to 30%.  Index Terms-insulation-covered conductors; bare conductors; overhead lines; conductor temperature; thermal rating; active power losses; weather conditions Vladimir N. Goryunov received the D.Sc. degree in electrical engineering from Moscow Power Engineering Institute, Moscow, Russia in 1992. Currently, he is a Professor and Head of

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