Economic evaluation of dynamic thermal rating by adaptive forecasting

Hall, J.F.; Deb, A.K.

doi:10.1109/61.194016

Cited by 16 publications

(6 citation statements)

References 2 publications

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“…Herein, DLR was applied in [98] to determine the candidate lines with the biggest financial return in such an implementation considering the real operational approach of Philadelphia Electric Company (PECo) as a member of the PJM Interconnection. Another mature study on the impact of adaptive forecasting based DLR implementation on a transmission network operation was carried out in [99] on a 5-bus 230 kV transmission test system. The study in [99] resulted in 18% of more economic benefit compared to SLR even the line losses increased during DLR implementation case.…”

Section: Solely Dlr Based Operational Flexibilitymentioning

confidence: 99%

“…Another mature study on the impact of adaptive forecasting based DLR implementation on a transmission network operation was carried out in [99] on a 5-bus 230 kV transmission test system. The study in [99] resulted in 18% of more economic benefit compared to SLR even the line losses increased during DLR implementation case. The study of Nick et al [100] proposed a DLR based security constrained unit commitment problem formulation with linearized AC power flow constraints.…”

Section: Solely Dlr Based Operational Flexibilitymentioning

confidence: 99%

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A Comprehensive Overview of Dynamic Line Rating Combined with Other Flexibility Options from an Operational Point of View

et al. 2020

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The need for flexibility in power system operation gradually increases regarding more renewable energy integration, load growth, etc., and the system operators already invest in this manner to enhance the power system operation. Besides, the power system has thermally sensitive assets such as lines, transformers, etc. that are normally operated under highly conservative static ratings. There is a growing trend in this regard to use the actual capacity of such assets dynamically under varying operating conditions leading to a dynamic thermal rating concept which is referred as dynamic line rating (DLR) approach specifically for lines. This study provides a comprehensive overview of existing perspectives on DLR and combination with other flexibility options from an operational point of view. Apart from the existing review studies more focused on implementation category of DLR concept, the concentration on more operational stage from the power system operation point of view leads the difference of this study compared to the mentioned studies. A categorization of the DLR implementation for either being sole or combined usage as a flexibility option is further realized. Besides, a geographically categorized analysis on existing practical evidence on DLR concept and implementations is also presented in this study.

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Section: Solely Dlr Based Operational Flexibilitymentioning

confidence: 99%

Section: Solely Dlr Based Operational Flexibilitymentioning

confidence: 99%

A Comprehensive Overview of Dynamic Line Rating Combined with Other Flexibility Options from an Operational Point of View

et al. 2020

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“…D YNAMIC thermal rating (DTR) system is part of a larger suite of smart grid technologies that allows electrical conductors to operate at higher capacities based on their local weather conditions. It does this by increasing the conductors' thermal ratings while adhering to the maximum operating design temperatures [1], [2]. In particular, the DTR technique applicable to a bare overhead conductor has been formulated in the IEEE standard 738 [3] and is widely accepted in the industry [4].…”

Section: Introductionmentioning

confidence: 99%

“…In particular, the DTR technique applicable to a bare overhead conductor has been formulated in the IEEE standard 738 [3] and is widely accepted in the industry [4]. In it, the steady-state transmission line ratings are calculated as a function of wind speed , wind angle , air temperature , solar radiation angle , conductor resistance , and its operating temperature , as shown in (1): (1) Manuscript received April 07, 2015; revised August 10, 2015; accepted October 17, 2015. This work was supported in part by Universiti Sains Malaysia and in part by Ministry of Higher Education, Malaysia.…”

Section: Introductionmentioning

confidence: 99%

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Reliability Impact of Dynamic Thermal Rating System in Wind Power Integrated Network

2016

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Electrical networks across the globe are gearing towards environmentally friendly operation with many renewable sources being introduced. Among them, the popularity of electrical generation by wind has gained the most ground. Wind, as one of the meteorological conditions, also has high influence on line ratings and such manner of operating the line is known as dynamic thermal rating (DTR) system. Seeing this relationship, it is intuitively important to investigate the reliability of a electrical network incorporating DTR and wind farm. Hence, the objective of this paper is to propose a methodology that can perform this task. In the methodology, sequential Monte Carlo (SMC) simulation was performed due to time dependencies of line ratings and wind power. As a result, modeling of these time-series data was performed using the auto-regressive and moving-average (ARMA) model. Moreover, correlations between line rating and wind power were also considered to provide a practical approach to the modeling. Results have shown that DTR system is able to increase network reliability and allows for higher wind energy penetration.

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Economic evaluation of dynamic thermal rating by adaptive forecasting

Cited by 16 publications

References 2 publications

A Comprehensive Overview of Dynamic Line Rating Combined with Other Flexibility Options from an Operational Point of View

A Comprehensive Overview of Dynamic Line Rating Combined with Other Flexibility Options from an Operational Point of View

Reliability Impact of Dynamic Thermal Rating System in Wind Power Integrated Network

Comprehensive review of the dynamic thermal rating system for sustainable electrical power systems

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