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

Lai, Ching-Ming; Teh, Jiashen

doi:10.1016/j.egyr.2022.02.085

Cited by 88 publications

(34 citation statements)

References 166 publications

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“…For future work, thorough analysis on dynamic thermal rating (DTR) technique could be incorporated in this study to further improve the wind turbine system modeling (Lai and Teh, 2022). The DTR technique uses environmental circumstances to effectively calculate the thermal limitations of power components.…”

Section: Future Workmentioning

confidence: 99%

“…On the other hand, some researcher was focusing in DTR system to improve the integration of wind energy in (Lai and Teh, 2022; Teh et al, 2018) [“Comprehensive review of the dynamic thermal rating system for sustainable electrical power systems,” Energy Reports] and [“Prospects of using the dynamic thermal rating system for reliable electrical networks: A review,” IEEE Access], owing to the DTR system ability to improve network capacity by 30%–50%. Hence, the DTR system can delay/avoid the building of new transmission corridors and it can be achieved at a fraction of the cost of other equivalent methods.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic modeling of power network-integrated wind turbine

et al. 2022

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This paper presents the performance investigation of voltage and current for dynamic model of the wind turbine. In this study, the various numbers of wind turbine speed are applied in the simulation. This treatment is intended to see how much influence the turbine speed has on the voltage and current output. IEEE 14 bus system is integrated to the wind turbine in order to observe the impact of on-grid connection to the voltage and current performance. How to model wind turbine in PSCAD simulation software also discussed in this paper. The detail of supporting components in designing a wind turbine system and their functions are also explained. Several values of turbine speed are also considered in this paper as a study material in seeing the performance of wind turbines. The relationship between wind speed and pitch angle will also be discussed to ensure that the wind turbine is not damaged. In order to prove the accuracy of the simulation model, the obtained measurement generation of active power from the wind turbine is matched with the manual calculation. Based on the various wind speed values that have been tested, this can be the basis for the application of wind turbine (renewable energy) design development for further research.

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Section: Future Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic modeling of power network-integrated wind turbine

et al. 2022

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“…The electricity demand is increasing faster than the transmission capacity. Thus, to meet the energy demand, electric power networks are continuously evolving [1]. Power networks can be improved by integrating more renewable power sources without compromising overhead conductors.…”

Section: Introductionmentioning

confidence: 99%

“…Following the implementation of DTR with demand-side management, the load demand transforms from fixed to dynamic and gains active response capacity. This allows the power system and power equipment to operate safely by controlling flexible resources on the load side [1,7]. Dynamic thermal rating with storage technologies and management systems could also improve the reliability and utilization of electric Energies 2022, 15, 4395 2 of 23 power [8,9].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Dynamic Thermal Rating System-Based Thermal Aging Model for Transmission Lines

et al. 2022

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Electricity demand has surged over the last several years and will persist in the future. Increased transmission loads cause transmission lines to operate much closer to their security limits, leading to thermal and mechanical stress and thus affecting the transmission reliability and thermal aging. Accordingly, monitoring the conductor temperature over time is critical to identifying power transmission networks that may need extra attention and perhaps maintenance. This paper presents a fuzzy thermal aging model for transmission lines equipped with a fuzzy dynamic thermal rating system based on the IEEE 738 standard. In this framework, the ampacity of the transmission line was calculated. The conductor temperature was computed with the back-calculation method by considering the fully loaded transmission line. The estimated conductor temperature was employed to determine the corresponding conductor fuzzy loss of tensile strength, i.e., the fuzzy annealing degree of the conductor based on the Harvey model. Additionally, a tensile strength loss cost profile is provided. Simulation and numerical results indicate that the proposed framework is robust against various operating conditions of the parameters considered in the study and provides crucial information for managing transmission assets and transmission network operation.

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“…Ultimately, to have a qualitative discussion on the effects of the dynamic aspect of the problem on reliability, the Dynamic Thermal Rating (DTR) system has been used to enhance renewable integration and improve the network's reliability, taking into account the aging effects of line conductors [23][24][25]. As [26] points out, the DTR and battery energy storage systems (BESS) could enhance the reliability of wind-integrated power networks.…”

Section: Introductionmentioning

confidence: 99%

An optimum budget‐based development in maintenance for electric power transmission networks

Otaghsara

Gharakheili

2022

IET Generation Trans & Dist

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On the topic of power systems, the most critical assignment would be providing facilities to make electricity available at the lowest price with a fulfilled level of reliability for all consumers. Today, power transmission reliability has received more concentration due to the increasing essence of providing high‐quality energy to customers and operating competitive conditions in electricity markets. In this regard, this paper scrutinizes the reliability‐centred maintenance (RCM) issue in terms of considering two optimal maintenance strategies for transmission assets to decrease their forced outage rate (FOR). This techno‐economic budget‐based maintenance is a probabilistic approach to help asset managers and experts in the decision‐making process: to determine between maintenance strategies with associated costs and provide the most economical resource allocation for these elements, which leads to an improvement in the reliability of the whole network. Decreasing the average probability of Energy Not‐Supplied (ENS), the simulation determined the proper maintenance strategy for transmission components. After that, the repercussions of the fallen ENS will be analyzed in total maintenance cost (MC), operation cost (OC), and the system's total cost (TC). Also, the IEEE 24‐bus reliability test system is considered as a case study demonstrating the proposed technique's practicality.

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

Cited by 88 publications

References 166 publications

Dynamic modeling of power network-integrated wind turbine

Dynamic modeling of power network-integrated wind turbine

Fuzzy Dynamic Thermal Rating System-Based Thermal Aging Model for Transmission Lines

An optimum budget‐based development in maintenance for electric power transmission networks

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