A Two-Dimensional Cloud Model for Condition Assessment of HVDC Converter Transformers

Li, Jian; He, Zishu; Wang, Youyuan; Lv, Jinzhuang; Zhao, Linjie

doi:10.3390/en5010157

Cited by 9 publications

(3 citation statements)

References 13 publications

(16 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The greater the dispersion and greater the influence it has on the holistic evaluation, the lower the information entropy. The main steps include the construction of a decision matrix, data normalization, information entropy calculation, and the final determination of indicator weights [36].…”

Section: Optimal Planning Of Grid-connected Pv-storage Microgridsmentioning

confidence: 99%

HOMER-Based Multi-Scenario Collaborative Planning for Grid-Connected PV-Storage Microgrids with Electric Vehicles

et al. 2023

View full text Add to dashboard Cite

One of the crucial methods for adapting distributed PV generation is the microgrid. However, solar resources, load characteristics, and the essential microgrid system components are all directly tied to the optimal planning scheme for microgrids. This article conducts a collaborative planning study of grid-connected PV-storage microgrids under electric vehicle integration in various scenarios using HOMER 1.8.9 software. To be more specific, in multiple scenarios, we built capacity optimization models for PV modules, energy storage, and converters in microgrids, with several scenarios each accounting for the cleanliness, economic performance, and overall performance of microgrids. For multiple scenarios, this paper used the net present value cost and levelized cost of electricity as indicators of microgrid economics, and carbon dioxide emissions and the fraction of renewable energy were used as indicators of microgrid cleanliness. The optimal capacity allocation for economy, cleanliness, and a combination of economy and cleanliness were separately derived. Finally, on a business park in Wuhan, China, we conducted thorough case studies to compare and debate the planning performance under various scenarios and to undertake sensitivity analyses on the cases. The sensitivity analyses were conducted for the optimal configuration of microgrids in terms of the EV charging scale, carbon dioxide emissions, PV module unit cost, and storage unit cost. The results of the simulation and optimization show that the optimization approach could determine the ideal configuration for balancing economy and cleanliness. As the EV charging demand increased, the energy storage capacity required in the microgrid gradually increased, while the carbon dioxide emission limit was negatively correlated with the energy storage capacity demand. The unit investment cost of PV module units had a greater impact on the optimal system configuration than the cost of batteries.

show abstract

Section: Optimal Planning Of Grid-connected Pv-storage Microgridsmentioning

confidence: 99%

HOMER-Based Multi-Scenario Collaborative Planning for Grid-Connected PV-Storage Microgrids with Electric Vehicles

et al. 2023

View full text Add to dashboard Cite

show abstract

“…As Zeineldin et al [19] show, DG can include new levels of fault currents, these authors propose a system for its management based on non-linear programming (NLP) system. As is known, AC power transformers have failures at half the rate of high voltage direct current (HVDC) converter transformers, in this sense, Li et al [20] present a model to evaluate HVDC based on a fuzzy system.…”

Section: The Development Of Prediction and Self-diagnosis Systemsmentioning

confidence: 99%

A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids

Hernández-Callejo

2019

Energies

View full text Add to dashboard Cite

New technological advances based on software, hardware and new materials must be implemented in smart grids. In addition, these advanced electrical grids must incorporate elements of artificial intelligence. Advances in software development must be complemented with the development of new hardware (power electronics and active distribution among others). The aforementioned must rely on the development of new materials and sensors, which should be integrated into the smart grid. Therefore, the four areas of research based on the technologies are: Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering. The review presents the algorithms, materials, devices and others paradigms applied to smart grids, classifying the works according to the four areas of research. This review has focused on the four fundamental pillars of smart grids, on the one hand, the need for more efficient operation and control, followed by advanced maintenance management, to continue planning and designing the new grids, and for conclude with the advanced measurement. As you will see in the article, new devices, new techniques, and future scenarios will make possible the transition from the current grid to the future smart grid.

show abstract

“…The on‐site test value is compared with the factory test value of the converter transformer to assess the operation state of the converter transformer. Because the assessment accuracy is low for a single‐test parameter, to eliminate the inaccuracy of single‐parameter assessment results, the weight model can be used to comprehensively analyze the test parameters, forming a multi‐level index assessment system, thus making the evaluation results more accurate [11].…”

Section: Introductionmentioning

confidence: 99%

Research on assessment method for main insulation state of converter transformer based on time‐frequency domain dielectric response

Zhang¹,

Yun²,

Zhang

et al. 2023

IET Science Measure & Tech

View full text Add to dashboard Cite

The converter transformer is an essential part of the DC transmission system. Compared with the traditional oil-impregnated AC transformer, the main insulation of the converter transformer bears more complex electric field aging stress during long-term operation. The influence of the proportion of AC components in the AC/DC composite electric field on insulation aging is still unclear. Therefore, a combined aging test platform of composite electric field and thermal was built in the laboratory, and accelerated aging tests of oil-paper insulation under different AC/DC ratios were carried out. Through the time-frequency domain dielectric response characteristics of oil-paper insulation, the quantitative relationship between the time-frequency domain dielectric response characteristic parameters and AC proportional coefficient in different aging stages was obtained. The results show that the influence of the AC component on the aging of the oil-impregnated pressboard is more prominent. The maximum relaxation polarization time and the maximum exponential coefficient of polarization-depolarization current (PDC) can effectively characterize the aging of oil-paper insulation. Meanwhile, to accurately assess the insulation state of the converter transformer, this paper established the equivalent dielectric relaxation model for the main insulation structure. A quantitative assessment method for moisture content and aging of oil-paper insulation based on time-frequency domain dielectric response was proposed. The influence of transformer oil conductivity, test temperature, and main insulation structure was eliminated. The effectiveness of this method was verified by comparative tests, the maximum error for DP is 20, and the maximum error for moisture content is 0.15%. The research results of this paper can provide theoretical support for on-site assessment of converter transformer insulation status.

show abstract

A Two-Dimensional Cloud Model for Condition Assessment of HVDC Converter Transformers

Cited by 9 publications

References 13 publications

HOMER-Based Multi-Scenario Collaborative Planning for Grid-Connected PV-Storage Microgrids with Electric Vehicles

HOMER-Based Multi-Scenario Collaborative Planning for Grid-Connected PV-Storage Microgrids with Electric Vehicles

A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids

Research on assessment method for main insulation state of converter transformer based on time‐frequency domain dielectric response

Contact Info

Product

Resources

About