Investigation of vibration impacts on HVAC transformer from HVDC system under monopole operation

Ding, Dengwei; Zhao, Dongbo; Zhang, Xinhai; Lan, Xinsheng; Li, Chang-Jiu; Cui, Bai

doi:10.1109/tdei.2015.005525

Cited by 19 publications

(9 citation statements)

References 12 publications

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“…In some studies, three parameters are selected to investigate the impact of DC bias on a three-phase 500 kV power transformer, which are the distribution percentage of spectral energy, energy ratio of odd and even harmonics and waveform distortion ratio [22]. The usage of energy relative features especially the energy ratio of odd and even harmonics is similar with this study.…”

Section: Discussionmentioning

confidence: 88%

“…Hitherto, some efforts have been devoted to investigate the vibration and noise characteristics of power transformers under DC bias conditions [15][16][17][18][19][20][21][22]. In these studies, the time-and frequency-domain characteristics of transformer noise and vibration in DC bias condition are tested, but only amplitude variation is not enough to recognize DC bias because of the inexplicit features and recognition methods [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…In these studies, the time-and frequency-domain characteristics of transformer noise and vibration in DC bias condition are tested, but only amplitude variation is not enough to recognize DC bias because of the inexplicit features and recognition methods [18][19][20]. Some further investigations are carried out, in which some vibration features (e.g., spectral energy, waveform distortion ratio) of a DC-biased transformer are introduced [21,22], but how to optimize these features and realize automatic DC bias recognition for on-site application is never mentioned in these contributions.…”

Section: Introductionmentioning

confidence: 99%

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Diagnosis of DC Bias in Power Transformers Using Vibration Feature Extraction and a Pattern Recognition Method

Zhou

et al. 2018

Energies

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DC bias is a great threat to the safe operation of power transformers. This paper deals with a new vibration-based technique to diagnose DC bias in power transformers. With this technique, the DC bias status of power transformers can be automatically recognized. The vibration variation process of a 500 kV autotransformer is tested under the influence of DC bias in the monopole trail operation stage of a ±800 kV HVDC transmission system. Comparison of transformer vibration under normal and DC-biased conditions is conducted. Three features are proposed and are validated by sensitivity analysis. The principal component analysis method is employed for feature de-correlation and dimensionality reduction. The least square support vector machine algorithm is used and verified successful in DC bias recognition. A remote on-line monitoring device based on the proposed algorithm is designed and applied in field DC bias diagnosis of power transformers. The suggested diagnostic algorithm and monitoring device could be useful in targeted DC bias control and improving the safe operation level of power transformers.

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Section: Discussionmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Diagnosis of DC Bias in Power Transformers Using Vibration Feature Extraction and a Pattern Recognition Method

Zhou

et al. 2018

Energies

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“…By substituting Equation 11into Equations (5) and (6), the DC power transmitted per circuit in the conventional 2PS are: Equation (13) indicates that each circuit (loop current) in 2PS is capable of 50% of the total system capacity.…”

Section: Theoretical Analysis Of Power Transmission Capabilitymentioning

confidence: 99%

“…Certain DC current flows through the transformers in the AC substations if their neutral points are grounded. Consequently, the transformers may be forced under a DC bias [8]- [11], thereby causing vibration and audible noise [12], [13]. Harmonics is also produced in large quantities that can decrease power quality [14].…”

Section: Introductionmentioning

confidence: 99%

Reliability and Power Density Increase in a Novel Four-Pole System for Line-Commutated Converter HVDC Transmission

2019

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This paper presents a novel four-pole system for line-commutated converter high-voltage direct current transmission with a quad 12-pulse operation. This system aims to eliminate a ground electrode or metallic return and increase the reliability and density of power transmission. The operating principles of this system are presented, followed by a detailed mathematical analysis of a conventional bipolar and the proposed four-pole systems. The mathematical results show that the proposed four-pole system has the following advantages: 1) it has four effective parallel 12-pulse dc circuits instead of only two, similar to a bipolar system; 2) it increases the reliability and density of power transmission; 3) it can avoid using a neutral conductor (metallic return) or the ground electrode that injects dc current into the ground; and 4) it efficiently facilitates power transmission due to relatively low line-to-line dc voltage levels. A complete simulation of the proposed four-pole system and the conventional bipolar system is performed using MATLAB/Simulink. The simulation results show that the proposed four-pole system configuration can eliminate the ground electrode or metallic return, produce four effective parallel dc circuits at low lineto-line dc voltages with quad 12-pulse operations, and increase the reliability of the system. In addition, phase-to-ground ac faults and pole-to-ground dc faults have been efficiently cleared. INDEX TERMS LCC-HVDC transmission, 12-pulse converter, multi-pole HVDC system, HVDC grounding electrode.

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Transient-steady state vibration characteristics and influencing factors under no-load closing conditions of converter transformers

Jiang,

Zhang,

Dong

et al. 2024

International Journal of Electrical Power & Energy Systems

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Investigation of vibration impacts on HVAC transformer from HVDC system under monopole operation

Cited by 19 publications

References 12 publications

Diagnosis of DC Bias in Power Transformers Using Vibration Feature Extraction and a Pattern Recognition Method

Diagnosis of DC Bias in Power Transformers Using Vibration Feature Extraction and a Pattern Recognition Method

Reliability and Power Density Increase in a Novel Four-Pole System for Line-Commutated Converter HVDC Transmission

Transient-steady state vibration characteristics and influencing factors under no-load closing conditions of converter transformers

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