Risk-Based Management of Transmission Lines Enhanced With the Dynamic Thermal Rating System

This paper presents a risk-based management framework for transmission lines equipped with a dynamic thermal rating system. In this framework, future wind speed values required for calculating conductor temperature are forecasted using the auto-regressive moving-average model. The dynamic thermal mo...

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Main Authors: Jiashen Teh, Ching-Ming Lai
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8733083/
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spelling doaj-d724ba5564a942938ab22b194307eb052021-03-29T23:02:53ZengIEEEIEEE Access2169-35362019-01-017765627657210.1109/ACCESS.2019.29215758733083Risk-Based Management of Transmission Lines Enhanced With the Dynamic Thermal Rating SystemJiashen Teh0https://orcid.org/0000-0001-9741-6245Ching-Ming Lai1School of Electrical and Electronic Engineering, Universiti Sains Malaysia (USM), Penang, MalaysiaDepartment of Electrical Engineering, National Chung Hsing University (NCHU), Taichung, TaiwanThis paper presents a risk-based management framework for transmission lines equipped with a dynamic thermal rating system. In this framework, future wind speed values required for calculating conductor temperature are forecasted using the auto-regressive moving-average model. The dynamic thermal model used in this paper is based on the IEEE 738 standard. The forecasted conductor temperature is used to determine the associated conductor loss of tensile strength, i.e., the annealing degree of the conductor, on the basis of the Harvey model. A cost profile is also provided for tensile strength lost. Simultaneously, temperature and conductor age are used to predict the failure probability of the conductor using the Arrhenius-Weibull model. Finally, the product of the economics of conductor annealing and conductor failure probability provides the risk value, which can be compared with the admissible risk. The results show that risk can be mitigated by reducing either conductor temperature or the applied duration of the conductor. Moreover, a desirable forecast of wind speed values also poses less risk and vice versa. The sensitivity analyses show that the considerations taken during the formulation of the framework are reasonable and they only affect the numerical results, thereby indicating that the proposed framework is robust against various operating conditions of the parameters considered in the framework.https://ieeexplore.ieee.org/document/8733083/Dynamic thermal rating systemstransmission lineriskprobabilisticconductorageing
collection DOAJ
language English
format Article
sources DOAJ
author Jiashen Teh
Ching-Ming Lai
spellingShingle Jiashen Teh
Ching-Ming Lai
Risk-Based Management of Transmission Lines Enhanced With the Dynamic Thermal Rating System
IEEE Access
Dynamic thermal rating systems
transmission line
risk
probabilistic
conductor
ageing
author_facet Jiashen Teh
Ching-Ming Lai
author_sort Jiashen Teh
title Risk-Based Management of Transmission Lines Enhanced With the Dynamic Thermal Rating System
title_short Risk-Based Management of Transmission Lines Enhanced With the Dynamic Thermal Rating System
title_full Risk-Based Management of Transmission Lines Enhanced With the Dynamic Thermal Rating System
title_fullStr Risk-Based Management of Transmission Lines Enhanced With the Dynamic Thermal Rating System
title_full_unstemmed Risk-Based Management of Transmission Lines Enhanced With the Dynamic Thermal Rating System
title_sort risk-based management of transmission lines enhanced with the dynamic thermal rating system
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description This paper presents a risk-based management framework for transmission lines equipped with a dynamic thermal rating system. In this framework, future wind speed values required for calculating conductor temperature are forecasted using the auto-regressive moving-average model. The dynamic thermal model used in this paper is based on the IEEE 738 standard. The forecasted conductor temperature is used to determine the associated conductor loss of tensile strength, i.e., the annealing degree of the conductor, on the basis of the Harvey model. A cost profile is also provided for tensile strength lost. Simultaneously, temperature and conductor age are used to predict the failure probability of the conductor using the Arrhenius-Weibull model. Finally, the product of the economics of conductor annealing and conductor failure probability provides the risk value, which can be compared with the admissible risk. The results show that risk can be mitigated by reducing either conductor temperature or the applied duration of the conductor. Moreover, a desirable forecast of wind speed values also poses less risk and vice versa. The sensitivity analyses show that the considerations taken during the formulation of the framework are reasonable and they only affect the numerical results, thereby indicating that the proposed framework is robust against various operating conditions of the parameters considered in the framework.
topic Dynamic thermal rating systems
transmission line
risk
probabilistic
conductor
ageing
url https://ieeexplore.ieee.org/document/8733083/
work_keys_str_mv AT jiashenteh riskbasedmanagementoftransmissionlinesenhancedwiththedynamicthermalratingsystem
AT chingminglai riskbasedmanagementoftransmissionlinesenhancedwiththedynamicthermalratingsystem
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