The dielectric modulus Μ∗(ω) is used for studying the frequency domain response and activation energy (E a ) of transformer immersed cellulose insulation. Existing literatures show that the temperature is a crucial factor affecting the Μ∗(ω) and aging rate of transformer oil-paper insulation, while the E a can be regarded as an indicator to reflect the average aging rate of the transformer immersed cellulose insulation. Therefore, the discussion of the temperature-dependence on both Μ∗(ω) and E a is of great significance. This paper attempts to report an approach for understanding the temperature impact on both Μ∗(ω) and E a . The obtained knowledge can be used to establish two available models for temperature correction on Μ∗(ω) and activation energy prediction of transform immersed cellulose insulation, respectively. These findings are expected to promote the reliability of the condition prediction result of transformer immersed cellulose insulation by using Μ∗(ω) and E a technique.

Temperature correction to dielectric modulus and activation energy prediction of oil-immersed cellulose insulation

The results of frequency domain spectroscopy (FDS) will be affected by moisture which often leads to an unreliable condition prediction of oil-immersed cellulose insulation in transformers. In view of this, a solution is proposed in this study by adopting a fitting fingerprint database (FFD) technique, which can be utilized for condition prediction of aging and moisture content. In the current work, the relevant fingerprints that could characterize the insulation aging condition and moisture content are extracted from the FDS curves and the DC conductivity of the transformer oil. The FFD is then constructed by fitting fingerprints. The accuracy of the reported FFD technique is verified from tests on oil-immersed pressboard prepared in the lab and a transformer from the field. In this respect, the present contribution highlights FFD might be used as a powerful tool for condition prediction of oil-immersed cellulose insulation in transformers.

Condition prediction for oil-immersed cellulose insulation in field transformer using fitting fingerprint database

This work aims to propose an improved model for aging evaluation and moisture prediction of transformer cellulose insulation, which is based on the combination of the advantages of both frequency domain spectroscopy (FDS) and cellulose aging kinetics model. In the present work, the FDS was firstly employed to achieve the prediction of the inside moisture according to its moisture-sensitive property. Then, the predicted moisture is applied to construct the improved aging kinetics model, so that the aging condition of the transformer cellulose insulation can be predicted as well. The presented lab tests, as well as the field tests, have demonstrated the accuracy and feasibility of the proposed model. In that respect, the present contributions attempt to present a novel idea for the aging evaluation and moisture prediction for transformer cellulose insulation.

Aging evaluation and moisture prediction of oil-immersed cellulose insulation in field transformer using frequency domain spectroscopy and aging kinetics model

A novel model for predicting the frequency domain spectroscopy (FDS) curve is reported in this work, which is capable of analyzing the synergistic effect generated by temperature and moisture. The innovation of this work is an exploration of the reported model as a potential tool for predicting the FDS (dispersion loss/permittivity) curves of oil-immersed cellulose insulation under diverse temperatures and moisture. In that respect, the verification experiments indicated that the average relative error of the prediction results in lab conditions is less than 17%.

Frequency Domain Spectroscopy Prediction of Oil-Immersed Cellulose Insulation under Diverse Temperature and Moisture

Cross-linked polyethylene (XLPE) has been widely used as insulation material for cables. In 2019, the highest voltage level AC 500 kV XLPE submarine cable has been operated in Zhoushan, China. The irreversible degradation poses a safety hazard to the operation of submarine cable. Therefore, it is necessary to investigate the physical, chemical and electrical properties of XLPE submarine cable insulation under aging condition and explore the method for its deterioration degree assessment. In this paper, the AC 500 kV XLPE submarine cable insulation material was thermally aged at 130 °C. The deterioration characteristics of materials were analyzed based on morphology, chemical structure, mechanical property, thermal property and dielectric properties. Multiple characteristic parameters were extracted and new deterioration condition assessment model was established. Results show that the physicochemical characteristic parameters including retention rate of elongation at break, carbonyl index ( CI ) based on FTIR, full-width at half-maximum (FWHM) of the diffraction peak based on XRD, melting enthalpy based on DSC analysis, and the dielectric characteristic parameters including modified Cole-Cole model parameter $\chi _{\mathrm {s\alpha }}$ and AC breakdown strength are sensitive to deterioration condition of XLPE material. According to the change of elongation retention at break, the deterioration condition of XLPE sample was divided into enhanced stage, wear-out stage and disposal stage. The new multi-factor deterioration condition assessment model including six characteristic parameters (retention rate of elongation at break, CI , FWHM, melting enthalpy, modified Cole-Cole model parameter $\chi _{\mathrm {s\alpha }}$ , AC breakdown strength) was successfully established by grey correlation analysis. The new model can reflect the property of mechanical, chemical, thermal and dielectric property and has prominent effect in differentiating deterioration degree of the AC 500 kV XLPE submarine cable insulation material.

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Morphological, Structural, and Dielectric Properties of Thermally Aged AC 500 kV XLPE Submarine Cable Insulation Material and Its Deterioration Condition Assessment

It is a fact that the frequency domain spectroscopy (FDS) curve at different temperatures can be corrected by the shift factor (αT) extracted from the master curve. However, the αT and master curve reported by previous works are distinctive due to the difference in the construction algorithm. Therefore, it is of great significance to report a universal approach for extracting αT. In this work, the unaged oil-immersed pressboards with different moisture content (mc%) are firstly prepared and selected as the research specimen. Then, the αT of FDS curves on the above pressboard is extracted based upon the master curve technique. The influence mechanism under the various test temperature (T) and mc% is therefore analyzed so as to establish a universal model for predicting the αT. The present findings reveal that the αT value extracted from FDS curves is both temperature-dependent and moisture-dependent. In addition, the predicted αT is not only suitable for temperature correction on FDS curve of same type pressboard with different insulation conditions (moisture contents and aging degrees), but also maintains considerable accuracy when applied to different types of pressboard. Therefore, the obtained conclusions will provide a universal method for temperature correction on FDS curve of transformer polymer insulation.

A Novel Universal Approach for Temperature Correction on Frequency Domain Spectroscopy Curve of Transformer Polymer Insulation

A modified XY model of transformer oil–paper insulation system including non‐uniform aging and conductance effect

Methanol is regarded as an available indicator to analyze the aging condition of cellulose insulation. However, the diffusion mechanism of methanol molecules in the paper-oil insulation system is still unclear, since it cannot be explored by using only experiments. Given this issue, the molecular dynamics simulations were performed to investigate the diffusion mechanism of methanol molecules. In the current work, the mean square displacement of methanol during the diffusion process was calculated and analyzed, as well as its trajectory tracking. Then, the research on interaction energies and hydrogen bonds in paper/oil system were conducted. Finally, the effect of temperature on the diffusion of methanol molecules was also studied. Findings revealed that the diffusion of methanol in cellulose insulation is faster than that in insulating oil, besides, the presence of hydrogen bonds affects the diffusion rate of methanol molecules in cellulose insulation and insulating oil. Thus, the present findings could support the investigation of the diffusion mechanisms of methanol molecules, by which the aging condition evaluation of cellulose insulation could be also promoted.

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Investigation on Diffusion Mechanisms of Methanol in Paper/Oil Insulation Based on Molecular Dynamics Simulation

Design and development of the multi-dimensional display and management platform for transmission lines is presented in this study. At present, with the later continuous innovation of the power detection technology, the staff of my country's power system have gradually developed a variety of related technologies such as live detection and positioning. In-depth study of technical methods. Compared with the digital twin of capital construction, the latter focuses on real scene modeling and visualization, and uses technical tools such as the building information model to then optimize the planning layout and resource allocation in the design and construction stages, and guide the later management and operation. Hence, this paper proposes the novel solution for the traditional challenges. The future study will consider the integration.

Design and Development of Multi-Dimensional Display and Management Platform for Transmission Lines

The convolution operation is vectorized by using single instruction multiple data stream (SIMD). The SIMD instruction in the CPU is used to realize the vectorized convolution operation, eliminating the synchronization overhead of parallel computing, and at the same time multiplexing the data in the register, reducing the number of memory reads and writes. Relying on the power production management information system (PMS), it aims to research and establish a set of A complete and unified online monitoring system for the status of power transmission and transformation equipment. The Internet of Things system architecture for power transmission and transformation equipment at the information integration layer and the intelligent application layer, and a detailed discussion of several key technologies involved in the system architecture, mainly including integrated intelligence Monitoring device, coding and identification system, communication technology, panoramic information modeling. The original input data is grouped and allocated to different data node groups to realize data parallelism; for the data of each data node group, pipeline parallelism is adopted.

Yubo Zhang

Papers

A Novel Universal Approach for Temperature Correction on Frequency Domain Spectroscopy Curve of Transformer Polymer Insulation

A modified XY model of transformer oil–paper insulation system including non‐uniform aging and conductance effect

Investigation on Diffusion Mechanisms of Methanol in Paper/Oil Insulation Based on Molecular Dynamics Simulation

Design and Development of Multi-Dimensional Display and Management Platform for Transmission Lines

Real-time Power Transmission and Transformation Online Monitoring based on Convolutional Neural Network Algorithm