Evaluation of the Transient Overvoltages of HVDC Transmission Lines Caused by Lightning Strikes

Zalhaf, Amr S.; Zhao, Ensheng; Han, Yi; Yang, Ping; Almaliki, Abdulrazak H.; Aly, Reda M. H.

doi:10.3390/en15041452

Cited by 17 publications

(4 citation statements)

References 37 publications

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“…The fault data is substituted into the knowledge graph to analyze and process the fault data. The fault data is then divided into 409 samples with 33,000 dimensions and combined with the probability of previous failures in the knowledge graph database; the data is divided into training data sets and test data sets with the optimal solution; four fault types are extracted according to the knowledge graph; and the output target dimension is set as [1][2][3][4], where 1, 2, 3, 4 represent single-phase faults of DC-side transmission lines, faults of converter valve arms, faults of converter valve groups, and phase-to-phase faults of DC-side transmission lines, respectively. Among these, the test data set will be used to verify its performance.…”

Section: Lstm Network Parameter Settingsmentioning

confidence: 99%

“…In recent years, many fault diagnosis methods have been developed and applied to HVDC systems. For example, Reference [3] studied the impact of the lightning current peak and grounding resistance on shielding fault flashover in Yunnan to Guizhou 500 kV high-voltage direct current transmission systems. Reference [4] analyzed the mechanism of high short circuit current in the DC near areas caused by converter transformer during single-phase grounding faults.…”

Section: Introductionmentioning

confidence: 99%

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Long Short-Term Memory Network-Based HVDC Systems Fault Diagnosis under Knowledge Graph

Chen

et al. 2023

Electronics

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To enhance the precision of fault diagnosis for high-voltage direct-current (HVDC) systems by effectively extracting various types of fault characteristics, a fault diagnosis method based on the long short-term memory network (LSTM) is proposed in this paper. The method relies on a knowledge graph platform and is developed using measured data from four fault types in an HVDC substation located in southwest China. Firstly, a knowledge graph for the HVDC systems is constructed, then the fault waveform data is preprocessed and divided into a training set and a test set. Various optimizers are employed to train and test the LSTM. The proposed strategy’s accuracy is calculated and compared with recurrent neural network (RNN), eXtreme Gradient Boosting (XGBoost), support vector machine (SVM), Naive Bayes classifier, probabilistic neural networks (PNN), and classification learner (CL), which are commonly used in fault diagnosis. Results indicate that the proposed method achieves an accuracy of over 95%, which is 30% higher than RNN, 8% higher than XGBoost, 4% higher than SVM, 7% higher than Naive Bayes, 40% higher than PNN, and 42% higher than classification learner (CL), respectively; the method also has the minimum time cost, fully demonstrating its superiority and effectiveness compared to other methods.

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Section: Lstm Network Parameter Settingsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Long Short-Term Memory Network-Based HVDC Systems Fault Diagnosis under Knowledge Graph

Chen

et al. 2023

Electronics

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“…The ultra-high voltage direct current (UHVDC) transmission technology has been rapidly developed and applied in the field of long-distance transmission due to its characteristics of low operating losses and large transmission capacity. It has become the main force and important guarantee for optimizing resource allocation and energy transmission [1][2]. However, UHVDC transmission is generally operated in a corona discharge state, and the long-term operation of UHVDC transmission can lead to electromagnetic environmental problems such as corona loss, audible noise, and particle accumulation of ground equipment [3].…”

Section: Introductionmentioning

confidence: 99%

Inhibition characteristics of pollution accumulation in high-voltage direct current conductors with XLPE and PVC film

Jiang,

Wei,

Zhang

et al. 2024

J. Phys.: Conf. Ser.

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The inhibition of pollution accumulation on the ground equipment by cross-linked polyethylene (XLPE) and polyvinyl chloride (PVC) as coating materials was investigated, and the effects of discharge voltage, power supply polarity, and the material properties of ground equipment on the characteristics of dirt accumulation were discussed. When the voltage was greater than 40 kV, the pollution accumulation of the sampling plate of the PVC-coated conductor was higher than that of the XLPE-coated conductor. Whether it was PVC or XLPE coated wire, the amount of pollution accumulation under negative polarity power was greater than that under positive polarity power. When the ground equipment was made of aluminum sheets, the amount of pollution accumulated was greater than that of the PTFE. As the film thickness increased, the amount of pollution on the aluminum fouling film decreased continuously.

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“…The impact of very fast transients on bushings has been observed for a long time, however, with the development of electrical network architectures and the tendency to integrate intermittent renewable energies and power electronic converters, the energy network becomes more complex and generates, consequently, more frequent operation of switching systems, which increases the likelihood of having very severe transients [3], [18]- [20].…”

Section: Introductionmentioning

confidence: 99%

High Frequency Model of Power Transformer Bushing for Very Fast Transient Studies

Messadi,

Zouaghi,

Ferdjallah-Kherkhachi

et al. 2023

IEEE Access

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Fast and very fast transient overvoltages generally appear during switching operations within electrical substations. The oscillatory nature of such phenomena with frequencies that can reach several tens of megahertz tends to degrade the lifetime of high voltage equipment such as bushings and transformers, inducing partial discharges activity or breakdown of the insulation system. According to several case studies, bushings are one of the most sensitive parts to such overvoltages, indeed, a failure in a bushing will in most cases lead to a failure of the transformer, often catastrophically. Generating such overvoltages with a very high frequency character and considerable amplitude can be very difficult, moreover, studying the effect of such overvoltages on the insulated bushings is not easy, even experimentally. Therefore, a simulation of the fast transients in the system can be very useful to understand the consequences of such phenomena. In this context, this document aims to propose a model of high voltage capacitive graded oil impregnated paper (OIP) bushing based on a distributed electrical circuit. The equivalent circuit is constructed based on the geometric design and electrical properties of the materials. The model was developed and implemented using Matlab/Simulink® software, and was validated with experimental measurements based on impedance sweep frequency analysis. The modeling results are in a good agreement with the experimental ones. INDEX TERMSBushing, distributed circuit model, high voltage, high frequency, impedance analysis, numerical modeling, overvoltage, power transformer, very fast transient.

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Evaluation of the Transient Overvoltages of HVDC Transmission Lines Caused by Lightning Strikes

Cited by 17 publications

References 37 publications

Long Short-Term Memory Network-Based HVDC Systems Fault Diagnosis under Knowledge Graph

Long Short-Term Memory Network-Based HVDC Systems Fault Diagnosis under Knowledge Graph

Inhibition characteristics of pollution accumulation in high-voltage direct current conductors with XLPE and PVC film

High Frequency Model of Power Transformer Bushing for Very Fast Transient Studies

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