Investigating the Impact of Real-Time Thermal Ratings on Power Network Reliability

Greenwood, David; Taylor, Phil

doi:10.1109/tpwrs.2014.2305872

Cited by 54 publications

(27 citation statements)

References 26 publications

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“…These spans could be a result of specific conductor location and sheltering affects from trees or buildings. Since this paper is concerned with quantifying the benefits of RTTR, this effect is not considered; however, an investigation into the impact of the distance between the critical span and rating calculation accuracy is presented in [40].…”

Section: Conductor Rating Calculationsmentioning

confidence: 99%

Unlocking the benefits of real‐time thermal ratings through probabilistic power network planning

Greenwood¹,

Taylor²

2014

IET Generation, Transmission & Distribution

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Real-time thermal ratings (RTTRs) is an emerging technique used to calculate the rating of electrical conductors based on local, real-time weather conditions; this leads to an increased rating with respect to conventional approaches the majority of the time, and can be used to increase the energy yield of distributed generators, support the network during outages and defer network reinforcement. Unfortunately it is not presently recognised in network planning, design and security of supply standards. This represents a barrier to utilising RTTRs in power networks, and must be addressed. This study presents a new, probabilistic method for accounting for the variable ratings during network planning. This is coupled with an analysis of the risk of being unable to supply customers in a network adopting variable ratings, compared with the risk in the same network using conventional ratings; hence the method proposed in this study allows additional load to be connected to the network at a quantified level of risk. Finally, this method could be applied to other emerging network technologies and techniques such as demand side management or energy storage.

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Section: Conductor Rating Calculationsmentioning

confidence: 99%

Unlocking the benefits of real‐time thermal ratings through probabilistic power network planning

Greenwood¹,

Taylor²

2014

IET Generation, Transmission & Distribution

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“…The whole line uses preset seasonal meteorological conditions in [1,2]. The whole line uses real-time meteorological parameter values in [3,4]. They all use the uniform meteorological conditions along the line, regardless of the locations.…”

Section: Introductionmentioning

confidence: 99%

Transmission Line Model Considering Nonuniform Temperature Distribution at Different Locations

Wang¹,

Yang²,

Liang³

et al. 2017

PIER M

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Abstract-The temperature variation throughout overhead transmission lines has an important effect on the line operation. In order to describe the actual operation of transmission lines more accurately, this paper proposes a line segmentation method based on temperature distribution at different locations. Taking the actual transmission line of Shaanxi Province as a test case, the influence of the different temperature calculation methods on the maximum transmission power of lines is studied under the lumped parameter model and the distributed parameter model, respectively. It is shown that the transmission line model considering nonuniform temperature distribution at different locations is more accurate for studying the operating state of the system.

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“…Many reliability studies have considered the impact of smart grid technologies to improve the network reliability [3,5,6], however not much attention has been paid on the impact of these technologies on the power network reliability considering the failures of their ICTs [5]. Many studies consider the benefit of Time Varying Line Rating (TVLR) on Overhead Lines (OHLs) and Underground Cables (UGCs) on power system reliability [6,7].…”

Section: Introductionmentioning

confidence: 99%

“…Many studies consider the benefit of Time Varying Line Rating (TVLR) on Overhead Lines (OHLs) and Underground Cables (UGCs) on power system reliability [6,7]. However most of these studies do not consider the effects of failures and unreliability of their ICTs and their associated risk.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the impact of information and communication technologies on network reliability

Cruzat

Kopsidas

Liu

2016

2016 18th Mediterranean Electrotechnical Conference (MELECON)

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Abstract-Utilities' main drive is to provide economic, reliable and high quality electrical power to customers. At the same time, they also aim to enable the connection of continuously increasing renewable energy sources as efficiently as possible in order to assist the de-carbonization of the electricity sector. These challenges increase the power flows in a power network which requires further reinforcement and optimization. To address the increased power flow, smart grids are implemented utilizing more information and communication technologies (ICTs). This paper investigates the impact of such ICTs on the network via the inclusion of Time Varying Line Rating (TVLR) ICT. Thus, it introduces a holistic network-component design methodology, based on Sequential Monte Carlo, which allows investigating the impact of ICT failures on a network's reliability, with branches that employ TVLR. A study on the IEEE-RTS 96 network indicates that TVLR-ICT failures increase the interruption frequency of load reducing its overall quality of supply.

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Investigating the Impact of Real-Time Thermal Ratings on Power Network Reliability

Cited by 54 publications

References 26 publications

Unlocking the benefits of real‐time thermal ratings through probabilistic power network planning

Unlocking the benefits of real‐time thermal ratings through probabilistic power network planning

Transmission Line Model Considering Nonuniform Temperature Distribution at Different Locations

Evaluating the impact of information and communication technologies on network reliability

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