Human reliability analysis in maintenance team of power transmission system protection

Tavakoli, Mehdi; Nafar, Mehdi

doi:10.1186/s41601-020-00176-6

Cited by 14 publications

(7 citation statements)

References 31 publications

(43 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because the majority of towers with line arresters are located in mountainous areas and the test areas under towers are seriously narrow, the remote control method is adopted to control the start, stop, and lifting of DC high-voltage generator to ensure the safety of test personnel (Tavakoli and Nafar, 2020). In addition, an infrared measuring circuit is arranged The main interface of the remote control module is employed to display the output voltage, current, current flowing through MOA of DC high-voltage generator, and the voltage of the lithium battery pack and test results in real time.…”

Section: Design Of Remote Control Modulementioning

confidence: 99%

Optimal Operation and Control Design of DC Arrester for Renewable Energy Transmission

Feng¹,

Li²,

Gao³

et al. 2021

Front. Energy Res.

View full text Add to dashboard Cite

The trip probability of transmission line under lightning stroke is rapidly increasing under complex weather conditions when large-scale renewable energy is intergrated with modern power grid. Line arrester plays a critical role in reducing lightning damage and economic losses, in which DC reference voltage is a critical parameter to evaluate line arresters. Hence, a set of on-site DC test system of transmission line arresters is developed to realize the DC reference voltage test in this article. The output DC voltage of the test system is continuously adjustable (0–200 kV), while its rated power and the maximum output current are set to 400 W and 2 mA, respectively. Furthermore, the system is powered by a lithium battery instead of a 220/380 V AC energy source. It employs split design and integrating assembly on-site that reduces the total weight by 36.7%, which considerably decreases the demand for the space of test site. Besides, the weights of control cabinet, multiplying cylinder, and energy source are reduced by 60, 54.55, and 33.33%, respectively. Meanwhile, the Bluetooth remote control module is used to effectively ensure the safety of test personnel. This system accomplishes DC reference voltage tests without removing line arresters on site, which can effectively enhance maintenance efficiency and economic benefits.

show abstract

Section: Design Of Remote Control Modulementioning

confidence: 99%

Optimal Operation and Control Design of DC Arrester for Renewable Energy Transmission

Feng¹,

Li²,

Gao³

et al. 2021

Front. Energy Res.

View full text Add to dashboard Cite

show abstract

“…In June 2021, a fire at a substation in Monacillos, Puerto Rico, left hundreds of thousands of people without electricity across the island [4]. According to an annual report by NERC and the Iran Grid Management Company, about 70 percent of blackouts are due to equipment and grid failures [5]. It can be seen that the safety maintenance of transmission lines is very important, and inspection work plays an important role in preventing circuit disasters from occurring [6].…”

Section: Introductionmentioning

confidence: 99%

Research on Safety Detection of Transmission Line Disaster Prevention Based on Improved Lightweight Convolutional Neural Network

Jiao

Chu

2022

Machines

View full text Add to dashboard Cite

The use of drones to inspect transmission lines is an important task for the energy maintenance department to ensure the stability and safety of power transmission. However, the current electric power inspection is inseparable from the participation of artificial vision. It is necessary to establish an automatic visual recognition technology with high reliability, high flexibility, and low embedded cost. This paper develops an improved YOLOv5S deep-learning-based transmission line disaster prevention safety detection model, called Model E. Compared to the original network, we use the Ghost convolution operation in the Model E network to improve the redundant computation caused by the conventional convolution operation. The BiFPN network structure is adopted to enhance the feature extraction ability of the original PANet network for unsafe objects in the transmission line image. This occurs in the process of Model E transmission line disaster prevention safety detection model learning. Equalized Focal Loss (EFL) is used to improve the Model E sample imbalance problem processing mechanism. The Model E proposed in this paper is 6.9%, 1.7%, 1.7%, and 2.9% higher than the current lightweight mainstream algorithms YOLOv3-Tiny and YOLOv5S, Model C (based on the original YOLOv5S network, the BiFPN structure in the Model E network part is improved), and Model D network (in the Backbone layer, four conventional convolutions are improved as Ghost convolution operations, and the rest of the structure is the same as the Model E network) in mAP@.5 evaluation index. Meanwhile, the size of the model is only 79.5%, 97.7%, 84.9%, and 93.8% of the above algorithm model. The experimental results show that the Model E transmission line disaster prevention and safety detection model proposed in this paper shows stronger competitiveness and advancement, with high reliability, flexibility, and fast detection ability, and can be applied to cost, reliability, and efficiency in order to have a higher standard of practical engineering needs.

show abstract

“…• Research on transmission line detection technology includes the use of deep learning target identification and navigation technology, which can effectively improve the monitoring ability and reduce the inspection cost (Gangolu and Sarangi, 2020;Sui and Ning, 2021) • The endurance of line inspection UAV is based on the flight battery optimization, UAV nest and power supply, UAV radio power transmission technology, etc. (ZHAO et al, 2017) • Autonomous line patrol of UAV includes intelligent image data processing and autonomous intelligent line inspection, as well as the ultimate goal of the complete autonomous inspection (Tavakoli and Nafar, 2020) This study initially investigates the characteristics of line inspection UAV and concludes that different UAV types correspond to different line inspection tasks. The development status of UAV line inspection technology is analyzed combined with the current application situation of other countries.…”

Section: Introductionmentioning

confidence: 99%

Unmanned Aerial Vehicle for Transmission Line Inspection: Status, Standardization, and Perspectives

Wang

et al. 2021

Front. Energy Res.

View full text Add to dashboard Cite

As the biggest country in power consumption and generation, China owns the largest scale of transmission line worldwide. The application of unmanned aerial vehicle (UAV) in inspection has been carried out for many years in China because of its strong adaptability and safety compared to the traditional manual way. For the further development of UAV application technology in transmission line inspection, China has accumulated rich experiences and greatly improved line inspection efficiency and formed a relatively complete UAV transmission line inspection standardization system including operation safety management, an equipment configuration method, and functional quality requirements. However, there still exist some obstacles that need to be tackled due to the fact that China’s UAV transmission line inspection standardization and its international promotion have not been thoroughly and comprehensively studied at present. Based on an in-depth analysis of China’s current UAV transmission line inspection standardization system, this study employs SWOT-PEST analysis to insightfully investigate international promotion opportunities/challenges under the current situation, upon which several constructive suggestions are proposed from four aspects of politics, economy, society, and technology. The ultimate purpose is to design feasible schemes to boost the international promotion of China’s UAV transmission line inspection standardization and further development of international UAV inspection technology.

show abstract

Human reliability analysis in maintenance team of power transmission system protection

Cited by 14 publications

References 31 publications

Optimal Operation and Control Design of DC Arrester for Renewable Energy Transmission

Optimal Operation and Control Design of DC Arrester for Renewable Energy Transmission

Research on Safety Detection of Transmission Line Disaster Prevention Based on Improved Lightweight Convolutional Neural Network

Unmanned Aerial Vehicle for Transmission Line Inspection: Status, Standardization, and Perspectives

Contact Info

Product

Resources

About