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Dynamic Thermal Rating System for Sustainable Electrical Power Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".

Deadline for manuscript submissions: closed (20 October 2022) | Viewed by 2214

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Guest Editor
School of Electrical and Electronics Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal 14300, Malaysia
Interests: power system reliability; optimization; renewable integrations
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The dynamic thermal rating (DTR) system can safely determine the thermal limits of power components on the basis of environmental conditions. Studies have shown that the DTR system can provide ratings that are higher than the traditional static thermal rating (STR) 80% to 90% of the time; for 50% of the time, DTR is 15% to 30% higher than STR. Hence, the benefits and applications of the DTR system are promising, but lacking in coverage by research journal articles. Therefore, the setting of this Special Issue is timely and all prospective authors with a special interest in the research of the DTR system are highly encouraged to contribute to this Special Issue. The topics covered in this Special Issue are as follows:

  • Applications of the DTR system in power systems;
  • Thermal behaviour of line conductors (overhead lines and underground cables);
  • Cyber network of the DTR system;
  • Integration of the DTR system with other smart grid technologies;
  • Reliability modelling of the DTR system;
  • Forecasting of DTR;
  • The dynamic effects of the DTR system;
  • Line rating technologies (sensors, systems, etc.);
  • Probabilistic line rating;
  • Fuzzy DTR system;
  • Data management of DTR system.

Prof. Dr. Jiashen Teh
Guest Editor

Manuscript Submission Information

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Keywords

  • Flexible rating
  • dynamic thermal rating
  • line conductor
  • thermal behaviour

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Published Papers (1 paper)

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Research

23 pages, 4451 KiB  
Article
Fuzzy Dynamic Thermal Rating System-Based Thermal Aging Model for Transmission Lines
by Yasir Yaqoob, Arjuna Marzuki, Ching-Ming Lai and Jiashen Teh
Energies 2022, 15(12), 4395; https://doi.org/10.3390/en15124395 - 16 Jun 2022
Cited by 3 | Viewed by 1770
Abstract
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 [...] Read more.
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. Full article
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