Study on aeolian vibration suppression schemes for large crossing span of ultra-high-voltage eight-bundle conductors

Qi, Yi; Rui, Xiaoming; Ji, Kunpeng; Liu, Chen; Zhou, Chao

doi:10.1177/1687814019842706

Cited by 9 publications

(8 citation statements)

References 21 publications

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“…Transmission line galloping, in contrast to aeolian vibration, which exhibits a high frequency and small amplitude oscillation, and subspan oscillation, which exhibits a medium frequency and medium amplitude oscillation [22], [23], exhibits a low frequency and large amplitude oscillation. The majority of existing studies use fieldwork or amplitude to determine whether galloping occurs because there is no universal standard for determining galloping.…”

Section: Galloping Prediction Model Design a Prediction Processmentioning

confidence: 97%

Transmission Line Galloping Prediction Based on GA-BP-SVM Combined Method

Wei

Gao

2021

IEEE Access

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The paper proposes a method to construct a model for transmission line galloping prediction using machine learning algorithms to address the transmission line galloping problem, which can result in transmission line loss and pose a greater risk to the safety of electricity in society. First, to reduce sensor noise interference, a unilateral sliding time window is used for micro-meteorological data correction, and then gray correlation analysis method and the specific gravity method are used to obtain the influence weights of micro-meteorological elements. The galloping prediction models are constructed using six algorithms, with the GA-BP algorithm model and the SVM algorithm model having better prediction effect based on performance metrics. The GA-BP-SVM combined model is constructed on this basis, and all of its performance metrics are optimal. This model's prediction accuracy in both galloping and no galloping states reaches 95.5%; the probability of correct prediction when predicted as galloping reaches 95.1%; the probability that actual galloping can be predicted reaches 92.5%. The F1-score of the combined model reaches 0.938, which indicates that it has the best prediction effect. The prediction method described in the paper is accurate and practical, and operation and maintenance personnel can flexibly develop inspection strategies and anti-galloping measures based on the prediction results to ensure the safe and stable operation of transmission lines. INDEX TERMSTransmission line galloping, combined prediction, sliding time window, SVM, GA-BP neural network.

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Section: Galloping Prediction Model Design a Prediction Processmentioning

confidence: 97%

Transmission Line Galloping Prediction Based on GA-BP-SVM Combined Method

Wei

Gao

2021

IEEE Access

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“…Leblond and Hardy (1999) assumed that the messenger cable is characterized by a hysteretic loss factor associated with its complex bending stiffness, and this model was used in the work of Barbieri and Barbieri (2012) and Barbieri et al (2016). Sauter and Hagedorn (2002) proposed a Jenkins element which consists of one linear spring and one Coulomb's friction element in parallel to model the hysteresis for the cable. In other studies (Barbieri et al, 2016;Foti and Martinelli, 2018), the Bouc-Wen model was used to model the hysteretic behaviour of the messenger cable.…”

Section: Dynamic Characteristics Of a Stockbridge Type Vibration Dampermentioning

confidence: 99%

The approximate calculation of the natural frequencies of a Stockbridge type vibration damper and analysis of natural frequencies' sensitivity to the structural parameters

et al. 2021

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Abstract. Vibration damper is widely used in overhead transmission lines to alleviate aeolian vibration. Its natural frequencies are important parameters for a vibration damper. In this paper, the approximate calculation formulas of natural frequencies of the one-side subsystem of a Stockbridge type vibration damper were derived and the design sensitivity analysis of the natural frequencies was studied using partial differential equations with respect to each concerned parameter including the length of the steel strand, the mass of the counterweight, the eccentric distance, and the radius of gyration of the counterweight. Through a case study that considered a variation of up to ±30 % in the values of the design parameters, the exact calculation and approximate calculation results of the natural frequencies were analysed, and the sensitivity of the vibration damper's natural frequencies to the design parameters was studied. The results show that, within the range of the parameters used in this study, the approximately calculated first-order frequency is lower than the exact values, whereas the approximately calculated second-order frequency is larger than the exact values. The sensitivity analysis indicates that the first-order frequency is highly sensitive to the steel strand's length, whereas it is moderately sensitive to the counterweight's mass and slightly sensitive to the eccentric distance and the gyration radius of the counterweight; the second-order frequency is highly sensitive to the steel strand's length and the gyration radius of the counterweight, moderately sensitive to the counterweight's mass, and slightly sensitive to the eccentric distance. It will provide theoretical guidance and approximate analysis method in engineering for the design of the vibration damper.

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“…Qi et al. introduces the analytical models of conductor and damping devices, to get the key factors for aeolian vibration and to direct the experimental study based on the energy balance principal and put forward two aeolian vibration schemes to evaluate experimentally on the conductor [14]. The experimental results indicate that the two schemes have a good effect.…”

Section: Introductionmentioning

confidence: 99%

“…Diana proposed numerical models of wind-induced aeolian vibrations of the conductors and provided a useful method and technology for the protection of conductors against aeolian vibrations [13]. Qi et al introduces the analytical models of conductor and damping devices, to get the key factors for aeolian vibration and to direct the experimental study based on the energy balance principal and put forward two aeolian vibration schemes to evaluate experimentally on the conductor [14]. The experimental results indicate that the two schemes have a good effect.…”

Section: Introductionmentioning

confidence: 99%

A structural health monitoring system of the overhead transmission line conductor

Zhao

Tian

Huang

et al. 2021

IET Science Measure & Tech

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Transmission lines are affected by aeolian vibration, sandstorms and acid rain, which cause structural damage and eventually lead to line breaking accidents. In this paper, the structural health monitoring technology of conductors is researched, and a structural monitoring system for conductors is designed. First, based on the structure of the ACSR (Aluminum Conductor Steel Reinforced) conductor and the dynamic equation, the relation between the natural frequencies and the structure of the conductor is obtained. Then, an online health monitoring system of the conductor structure is proposed, and key issues, such as the power supply solution of sensors, data preprocessing technology, multiple-sensor synchronization method, are analyzed in detail. Finally, the structural health monitoring of overhead transmission lines designed in this paper is tested on 110-kV experimental transmission lines. The experimental results show that from the system proposed the operation parameters of the conductors can be well obtained.

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Study on aeolian vibration suppression schemes for large crossing span of ultra-high-voltage eight-bundle conductors

Cited by 9 publications

References 21 publications

Transmission Line Galloping Prediction Based on GA-BP-SVM Combined Method

Transmission Line Galloping Prediction Based on GA-BP-SVM Combined Method

The approximate calculation of the natural frequencies of a Stockbridge type vibration damper and analysis of natural frequencies' sensitivity to the structural parameters

A structural health monitoring system of the overhead transmission line conductor

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