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Dear Colleagues,

High-voltage transmission systems are essential for current and future electrical grids. High-voltage systems are subjected to different challenges, including the increasing presence of distributed generation and high-voltage direct current (HVDC) systems, growing digitalization, and the need for extra reliability or the development of advanced online condition monitoring schemes based on state-of-the-art sensors, emerging communication systems and reliable diagnostic and prognostic strategies.

Power system reliability and availability is a critical aspect that can be improved by means of the development of online advanced diagnosis tools, which are becoming more and more crucial. In order to detect and predict early power system failures, it has become crucial to develop and test health monitoring techniques and failure detection and prognostic methods. This approach has many advantages, including a drastic reduction of unscheduled outages, easier maintenance and reduced maintenance costs, improved system performance and efficiency, or safety and reliability improvements, among others.

To this end, different technological progresses are required, which must be fully tested, proved and certified. Such progress includes the development and validation of new sensors, specific wireless communication systems, or health monitoring and prognosis algorithms capable of detecting or even anticipating future system failures or malfunctioning modes.

The key aspects of this Special Issue are to present novel research developments in the field of the condition monitoring of high-voltage systems focused on developing advanced fault diagnosis and prognosis approaches. It will cover different aspects, such as the development of new sensors and intelligent sensors or the adaptation of existing sensors for online monitoring, the analysis of the behavior of communication systems under high-voltage and high-current environments, the development of novel fault diagnosis and prognosis approaches, or the behavior of such systems under extreme environmental conditions, among others.

Prof. Jordi-Roger Riba Ruiz
Guest Editor

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Keywords

High-voltage systems
high-voltage direct current
online measurements
sensors
smart systems
data processing
extreme environmental conditions
reliability
condition monitoring

Published Papers (2 papers)

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Research

13 pages, 4967 KiB

Open AccessArticle

Replacement Strategy of Insulators Established by Probability of Failure

by Simpy Sanyal, Taeyong Kim, Chang-Sung Seok, Junsin Yi, Ja-Bin Koo, Ju-Am Son and In-Hyuk Choi

Energies 2020, 13(8), 2043; https://doi.org/10.3390/en13082043 - 20 Apr 2020

Cited by 7 | Viewed by 2260

Abstract

Insulators comprise only 5% of the capital cost of transmission lines; they are accountable for 70% of line interruptions and 50% of maintenance costs of transmission lines. Major transmission lines situated in different parts of the world were mostly all constructed 30 years ago. These lines have either completed or are approaching the active life at 30 years. It is not possible to replace all insulators at a time in any utility. From a standpoint of consistency, it is quite important to locate insulators that require replacement prior to the occurrence of failure. Recalling these issues, a replacement strategy was modeled on insulator samples, operated at 154 kV, mechanical and electrical rating (M+E) 25,000 lbs and within the 10–50 years (Y) age group, collected in bulk for laboratory evaluation, based on the probability of mechanical failure (P(F)) of insulators. For conducting these studies, tensile load test such as combined electrical and mechanical failing load test was performed on selected 30 new and aged porcelain insulator samples from bulk to access recent condition. It was observed that insulators under service for 50 years manifested a decrease of 89.3% in quality factor (K), as compared to insulators within 10 years of service. A micro-structural study was carried out by using an optical microscope (OM) and a scanning electron microscope (SEM) for the further confirmation of previous evaluations. P(F) was derived by implementing Weibull distribution on the experimental observations. It was observed that insulators with an age of 50 years depicted a 2.7% increase in P(F), as compared to insulators with an age of 10 years. This article discussed a strategy for accessing the recent condition of new, aged bulk samples and the criteria of the replacement of the insulator string based on P(F). Full article

(This article belongs to the Special Issue Monitoring of High-Voltage Transmission Systems to Improve Reliability and Availability)

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14 pages, 6097 KiB

Open AccessArticle

Design of Partial Discharge Test Environment for Oil-Filled Submarine Cable Terminals and Ultrasonic Monitoring

by Yulong Wang, Xiaohong Zhang, Lili Li, Jinyang Du and Junguo Gao

Energies 2019, 12(24), 4774; https://doi.org/10.3390/en12244774 - 14 Dec 2019

Cited by 3 | Viewed by 2500

Abstract

Based on the principle of operating an oil-filled-cable operation and the explanation of the oil-filling process provided in the cable operation and maintenance manual of submarine cables, this study investigated oil-pressure variation caused by gas generated as a result of cable faults. First, a set of oil-filled cables and their terminal oil-filled simulation system were designed in the laboratory, and a typical oil-filled-cable fault model was established according to the common faults of oil-filled cables observed in practice. Thereafter, ultrasonic signals of partial discharge (PD) under different fault models were obtained via validation experiments, which were performed by using oil-filled-cable simulation equipment. Subsequently, the ultrasonic signal mechanism was analyzed; these signals were generated via electric, thermal, and acoustic expansion and contraction, along with electric, mechanical, and acoustic electrostriction. Finally, upon processing the 400 experimental data groups, four practical parameters—maximum amplitude of the ultrasonic signal spectrum, D_max, maximum frequency of the ultrasonic signals, f_max, average ultrasonic signal energy, D_av, and the ultrasonic signal amplitude coefficient, M—were designed to characterize the ultrasonic signals. These parameters can be used for subsequent pattern recognition. Thus, in this study, the terminal PD of an oil-filled marine cable was monitored. Full article

(This article belongs to the Special Issue Monitoring of High-Voltage Transmission Systems to Improve Reliability and Availability)

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Monitoring of High-Voltage Transmission Systems to Improve Reliability and Availability

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