An Online Dynamic Cable Rating System for an Industrial Power Plant in the Restructured Electric Market

Huang, Shun-Hsien; Lee, Wei-Jen; Kuo, Ming-Tse

doi:10.1109/tia.2007.908206

Cited by 17 publications

(8 citation statements)

References 8 publications

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“…Equivalent to transformer TEE models, ∆θS in (8) is found using a similar equation. Some publications [73]- [74] claim improved performance and accuracy by combining the differential models for a cable's internal parameterization and Fourier models for external. According to [75], machine learning and genetic algorithms are also suitable for the differential approach.…”

Section: )mentioning

confidence: 99%

Thermoelectric Modelling and Optimization of Offshore Windfarm Export Systems - State of the Art

Kazmi

Holbøll

Olesen

et al. 2019

2019 1st Global Power, Energy and Communication Conference (GPECOM)

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With recent developments and cost reduction, offshore windfarms are set to lead the energy markets of the west by 2030. This development can further be accelerated if the wind intensive periods can be utilized efficiently by optimizing the limited network capacity and if the energy output is increased during contingency outages. Therefore, dynamic rating operation of components that are primary system bottlenecks becomes crucial. This paper identifies potential bottlenecks in offshore windfarm export systems and provides an extensive state-of-the-art review of dynamic thermoelectric models which are applicable for real-time loadability assessment of the identified components. The loadability of these components is directly dependent on their thermal state, which is evaluated based on analytical solutions of the dynamic thermoelectric model, including the complicated heat transfer and temperature development phenomena in the identified components. Moreover, potential risks of using these models for offshore windfarm applications are also identified.

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Section: )mentioning

confidence: 99%

Thermoelectric Modelling and Optimization of Offshore Windfarm Export Systems - State of the Art

Kazmi

Holbøll

Olesen

et al. 2019

2019 1st Global Power, Energy and Communication Conference (GPECOM)

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“…Finally, the estimation and predictive modules are capable of computing the soil properties and the ambient temperature in transient conditions to produce rating calculations when no fibre measurements are available. Since extensive literature is available in the three first modules [10,11], this paper presents mostly the relevant improvements made here to the estimation of soil parameters and predictive calculations.…”

Section: Technical Approachmentioning

confidence: 99%

“…To produce accurate emergency calculations and maximise the utilisation of cable systems, abundant research efforts have been made to enhance RTTR capabilities [7,[9][10][11][12][13][14][15][16][17]. The majority of published work on RTTR modelling successfully estimates the cable state (temperature of all its layers) when the temperature at an external layer of the cable is provided.…”

Section: Introductionmentioning

confidence: 99%

Adaptive soil model for real‐time thermal rating of underground power cables

Diaz‐Aguiló¹,

León²

2015

IET Science, Measurement & Technology

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This study presents a validated adaptive method intended for real-time thermal rating (RTTR) of underground power cables. The accuracy of the RTTR algorithm, when producing emergency ratings or predictive calculations, strongly depends on the following parameters (which have large uncertainties): correct soil modelling, the proper determination of the soil properties and the accurate estimation of the ambient temperature. To remove the uncertainties, this study uses a novel approach to the modelling of the soil that allows the implementation of an extended Kalman filter to estimate robustly the properties of the soil and the ambient temperature in real-time with the data obtained from cable temperature sensors. These estimation techniques have been validated for several cable installations and the accuracy of emergency current calculations has been assessed by comparing the calculated results with finite element method simulations. In the context of smart grid applications, the possibility of adapting the estimation models in real time with the new obtained measurements is a key aspect to assure robustness and accuracy of the power system operation and control.

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“…This similar equation has been used in [7] to study the dynamic cable ratings in transmission systems with restructured electricity market in ERCOT.…”

Section: B Dynamic Thermal Model Of Cablementioning

confidence: 99%

“…When the thermal inertia is considered, the conductor current can exceed the rated current for certain amount of time before the conductor temperature reaches the normal loading temperature. The dynamic rating of a feeder component is the maximum current the component can carry at any given time without exceeding the maximum allowed temperature [7]. Dynamic ratings can be calculated using the thermal models, the real-time conductor RMS current, and the ambient temperature.…”

Section: Cable Dynamic Ratingmentioning

confidence: 99%

A framework for intelligent feeder overloading

Feng

Mousavi

2014

2014 IEEE PES T&D Conference and Exposition

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Component ampacity in conventional feeder design and engineering is based on worst-case scenarios that, by virtue of necessity, disregards the inherent thermal inertia and realtime or anticipated ambient temperatures. From operations point of view, reliance on these static figures leads to underutilization and limited options to re-route power flow during normal and emergency conditions. The framework proposed in this article formalizes the engineering practice of overloading that helps optimize feeder utilization based on dynamic ratings as -preferably-an integral function of a substation-based thermal overload monitoring and prediction system. Such a system leverages real-time data from intelligent electronic devices (IEDs) and sensors in the age of anticipated data deluge. The ultimate goal is to empower operators with tools and intelligence that allows them to take advantage of capacity margins in a calculated manner in the midst of everincreasing dynamics and variability in generation and consumption.

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An Online Dynamic Cable Rating System for an Industrial Power Plant in the Restructured Electric Market

Cited by 17 publications

References 8 publications

Thermoelectric Modelling and Optimization of Offshore Windfarm Export Systems - State of the Art

Thermoelectric Modelling and Optimization of Offshore Windfarm Export Systems - State of the Art

Adaptive soil model for real‐time thermal rating of underground power cables

A framework for intelligent feeder overloading

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