A review of the enabling methodologies for PMUs-based dynamic thermal rating of power transmission lines

Coletta, Guido; Vaccaro, Alfredo; Villacci, D.

doi:10.1016/j.epsr.2017.07.016

Cited by 30 publications

(14 citation statements)

References 14 publications

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“…Recently, thanks to the large-scale deployment of Phasor Measurement Units (PMUs), new computing paradigms based on time-synchronized signal processing for DTR have been proposed in the literature 5,3 . These approaches aim at processing the time-synchronized phasors acquired by PMUs for estimating the electrical component parameters, and empirically inferring the corresponding component temperature 29 .…”

Section: Direct Methodsmentioning

confidence: 99%

“…The benefits deriving by the application of DTR techniques in existing power systems have been assessed in several papers, which proposed different solution methodologies, including those based on first order components thermal models, or integrating distributed sensors for the direct measurement of the conductor temperature 5 . These techniques, if integrated in advanced optimization frameworks, known as Weather Condition-based Optimal Power Flow (W-OPF) or Electro-Thermal OPF (ET-OPF), could reliably improve the components loadability, enhancing the congestion management flexibility, and maximizing the RPGs' exploitation 6,7,8 .…”

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confidence: 99%

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Affine arithmetic for efficient and reliable resolution of weather-based uncertainties in optimal power flow problems

Coletta

Vaccaro

Villacci

et al. 2019

International Journal of Electrical Power & Energy Systems

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The massive diffusion of renewable power generators in existing power grids introduces large uncertainties in power system operation, hindering their hosting capacity, and introducing several critical issues in network management. To address these challenging issues, weather-based optimal power flow has been recognized as one of the most promising enabling methodology for increasing the system flexibility by exploiting the real power components loadability. Anyway, the deployment of this technique in a real operation scenario could be seriously compromised due to the effects of data uncertainty, which could sensibly affect both the generated/demanded power profiles, and the components thermal modeling. In this context, the research for reliable techniques aimed at representing and managing these uncertainties represents one of the most relevant problem to solve. Armed with such a vision, this paper advocates the role of Affine Arithmetic in reliable solving weather-based OPF problems in the presence of multiple and correlated uncertainties. Experimental results obtained on a real case study, which is based on a congested portion of a transmission system characterized by a massive pervasion of wind generators, will be presented and discussed in order to assess the benefits deriving by the application of the proposed method.

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Section: Direct Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Affine arithmetic for efficient and reliable resolution of weather-based uncertainties in optimal power flow problems

Coletta

Vaccaro

Villacci

et al. 2019

International Journal of Electrical Power & Energy Systems

Self Cite

View full text Add to dashboard Cite

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“…According to the IRENA report [1], in most cases, even relatively low increases of the thermal rating (e.g., from 5% to 20%) with respect to the steady-state thermal rating could solve many operational issues. On the transmission network side, DTR can also be used for estimating the actual thermal state of the conductors by determining the electrical parameters of the power lines [2] or the mechanical characteristics of steel-reinforced aluminium overhead lines [3]. On the distribution network side, DTR may have an impact on optimal resource scheduling in reconfigurable microgrids [4].…”

Section: Introductionmentioning

confidence: 99%

Concepts and Methods to Assess the Dynamic Thermal Rating of Underground Power Cables

et al. 2021

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With the increase in the electrical load and the progressive introduction of power generation from intermittent renewable energy sources, the power line operating conditions are approaching the thermal limits. The definition of thermal limits variable in time has been addressed under the concept of dynamic thermal rating (DTR), with which it is possible to provide a more detailed assessment of the line rating and exploit the electrical system more flexibly. Most of the literature on DTR has addressed overhead lines exposed to different weather conditions. The interest in the dynamic thermal rating of power cables is increasing, considering the evolution of computational methods and advanced systems for cable monitoring. This paper contains an overview of the concepts and methods referring to dynamic cable rating (DCR). Starting from the analytical formulations developed many years ago for determining the power cable rating in steady-state conditions, also reported in International Standards, this paper considers the improvements of these formulations proposed during the years. These improvements are leading to include more specific details in the models used for DCR analysis and the computational methods used to assess the power cable’s thermal conditions buried in soil. This paper is focused on highlighting the path from the initial theories and models to the latest literature contributions. Attention is paid to thermal modelling with different levels of detail, applications of 2D and 3D solvers and simplified models, and their validation based on experimental measurements. A salient point of the overview is considering the DCR impact on reliability aspects, risk estimation, real-time calculations, forecasting, and planning with different time horizons.

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“…However, there are some restrictions in these solutions, including the difficulties of land expropriation, long construction time and high costs [1,2]. Therefore, it is increasingly essential to maximize the utilization for power transfer capacity of the existing overhead conductors [3,4]. The economic benefits of power grid operation can also be increased [5].…”

Section: Introductionmentioning

confidence: 99%

An Equivalent Heat Transfer Model Instead of Wind Speed Measuring for Dynamic Thermal Rating of Transmission Lines

et al. 2020

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With the increase in electricity demand, the ampacity calculation based on the dynamic thermal rating (DTR) technology is increasingly significant for assessing and improving the power transfer capacity of the existing overhead conductors. However, the DTR models now available present some inadequacies in measurement techniques related to wind speed. Therefore, it is essential to propose a new model instead of wind speed measuring in DTR technology. In this paper, the influence analysis of various weather parameters on the conductor ampacity is carried out by using the real weather data. Based on the analysis, it is confirmed that the impact of wind speed is significant, especially in the case of the low wind speed. Moreover, an equivalent heat transfer (EHT) model for DTR technology is proposed instead of wind speed measuring. For this EHT model, the calculation of conductor ampacity is realized through investigating the correlation of heat losses between the heating aluminum (Al) ball and conductor. Finally, combined with the finite element method (FEM), the EHT model proposed in this paper is verified by the Institute of Electrical and Electronic Engineers (IEEE) standard. The results indicate that the error of the EHT model is less than 6% when employing the steady thermal behavior of the Al ball to calculate the ampacity. The EHT model is useful in the real-time thermal rating of overhead conductors. It can increase the utilization of overhead conductors while also avoiding the limitation of the existing measurement techniques related to wind speed.

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A review of the enabling methodologies for PMUs-based dynamic thermal rating of power transmission lines

Cited by 30 publications

References 14 publications

Affine arithmetic for efficient and reliable resolution of weather-based uncertainties in optimal power flow problems

Affine arithmetic for efficient and reliable resolution of weather-based uncertainties in optimal power flow problems

Concepts and Methods to Assess the Dynamic Thermal Rating of Underground Power Cables

An Equivalent Heat Transfer Model Instead of Wind Speed Measuring for Dynamic Thermal Rating of Transmission Lines

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