Dynamic Line Rating systems: Research and policy evaluation

Gentle, Jake P.; Myers, Kurt S.; Bush, Jason W.; Carnohan, Shane A.; West, Michael R.

doi:10.1109/pesgm.2014.6939880

Cited by 13 publications

(10 citation statements)

References 7 publications

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“…Threemodels of overhead line calculations that have been widely used are the IEEE, CIGRE and International Electrochemical Commission (IEC) [13]. Authors in [14] had explained the detail Equation of each heating type in the Equations (3), (4), (5).…”

Section: Current Rating Based On Ieee and Cigre Standardmentioning

confidence: 99%

“…where q c1 used for less wind speed which is less than 3mph, q c2 is for higher speeds, p f and (air density), µ f is the dynamic viscosity, K f is the thermal conductivity, K angle is the wind direction factor, Tc is the conductor temperature and T a is the ambient temperature. Figure 2 shows heat balance in a conductor [14]. For non-steady state heat balance condition, the algorithm used is explained in Eqn.…”

Section: Current Rating Based On Ieee and Cigre Standardmentioning

confidence: 99%

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Calibration of Dynamic Line Rating Model for Phasor Measurement Unit Based Wide Area Measurement System in Smart Grid Application

Hasan*,

Ahmed,

Musa

et al. 2019

IJRTE

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The inefficiency of power transmission lines always becoming an issue in power system analysis. One of the most applicable methods Dynamic Thermal Current Rating (DTCR) to measure the thermal line ratings of existing transmission lines. This DTCR system operated through Phasor Measurement Units (PMUs) in Wide Area Measurement (WAM) system of the Sarawak Energy. To calculate the line rating based on measured or predicted weather conditions of the overhead transmission lines. However, the existing DTCR system of Sarawak Energy facing several accuracy issues. Therefore, this paper intended to perform an extended study on the sensitivity analysis of conductors in overhead transmission lines using the dynamic thermal rating model. The parameters (wind speed, the density of air, solar radiation) that influence the thermal line ratings considered in measuring, assessing the conductors’ thermal effects and then these parameters were considered for the line rating models that dynamically will adjust the weather information of the conductor in overhead transmission lines on WAM systems. The performance of this study carried out using Matlab based simulation. The result shows that the proposed model that uses the dynamic factors brings the expected outcome in measuring the accurate ratings of the overhead transmission lines.

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Section: Current Rating Based On Ieee and Cigre Standardmentioning

confidence: 99%

Section: Current Rating Based On Ieee and Cigre Standardmentioning

confidence: 99%

Calibration of Dynamic Line Rating Model for Phasor Measurement Unit Based Wide Area Measurement System in Smart Grid Application

Hasan*,

Ahmed,

Musa

et al. 2019

IJRTE

View full text Add to dashboard Cite

show abstract

“…RTTR schemes have been demonstrated through a variety of research projects, both in the UK and internationally [20][21][22]. RTTR is relatively inexpensive and quick to deploy, but the rating of the line cannot be controlled, meaning the additional capacity will not always be available when it is required.…”

Section: Real-time Thermal Ratings and Security Of Supplymentioning

confidence: 99%

A Probabilistic Method Combining Electrical Energy Storage and Real-Time Thermal Ratings to Defer Network Reinforcement

Greenwood

Wade

Taylor

et al. 2017

IEEE Trans. Sustain. Energy

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When a primary substation reaches its capacity limit, the standard solution is to reinforce the network with additional circuits. Under the right conditions, the required additional peak capacity can be provided by energy storage systems (ESS), real-time thermal ratings (RTTR) or a combination of the two. We present a probabilistic method for calculating the size of an electrical energy storage system for a demand peak shaving application. The impact of both power and energy capacity are considered, along with the reliability of the energy storage and the existing overhead lines. We also consider the combination of energy storage and RTTRtaking advantage of the inherent variability in power line rating as a result of changing weather conditionsfor enhancing reliability, deferring conventional reinforcement and increasing the availability of energy storage to participate in commercial service markets. The method is demonstrated in a case study on a network with an ongoing 6 MW/10 MWh ESS innovation project.

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“…In many cases this leads to an increased rating (typically 50-100%), with respect to conventional approaches, the majority of the time. RTTR, using weather measurements to estimate line ratings and temperatures has been demonstrated internationally in multiple projects [2][3][4].…”

Section: Index Terms-overhead Power Lines Computational Fluid Dynamimentioning

confidence: 99%

Applying Wind Simulations for Planning and Operation of Real-Time Thermal Ratings

Greenwood

Ingram

Taylor

2015

IEEE Trans. Smart Grid

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Real-Time Thermal Ratings (RTTR) is an emerging technology that allows the rating of electrical conductors to be estimated using real-time, local weather observations. In many cases this leads to a very significant (typically 50-100%) increase in rating with respect to conventional approaches. Conductor rating is heavily influenced by wind speed and direction. Consequently in this paper computational wind simulations, commonly employed by the wind energy industry, have been applied to inform rating estimation during network planning and operation. This provides an exciting opportunity to allow the identification of determining conductor spans, to inform network designers of the rating potential of different conductor routes, to estimate the additional wind energy that could be accommodated through the enhanced line rating and to allow intelligent placement of the monitoring equipment required to implement RTTR. The wind simulation data were also used to allow more accurate estimation of conductor ratings during operation. Two case studies taken from actual trial sites in the United Kingdom are presented to demonstrate that these techniques can provide a real world benefit.

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Dynamic Line Rating systems: Research and policy evaluation

Cited by 13 publications

References 7 publications

Calibration of Dynamic Line Rating Model for Phasor Measurement Unit Based Wide Area Measurement System in Smart Grid Application

Calibration of Dynamic Line Rating Model for Phasor Measurement Unit Based Wide Area Measurement System in Smart Grid Application

A Probabilistic Method Combining Electrical Energy Storage and Real-Time Thermal Ratings to Defer Network Reinforcement

Applying Wind Simulations for Planning and Operation of Real-Time Thermal Ratings

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