Stability analysis model for multi-node undersea observation networks

Chen, Yanhu; Xiao, Shun; Li, Dejun

doi:10.1016/j.simpat.2019.101971

Cited by 5 publications

(8 citation statements)

References 6 publications

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“…Ref. [ 4 ] proposed the parameters of a transmission cable: resistance

, inductance

, and capacitance

.…”

Section: Fault Detection Methodsmentioning

confidence: 99%

“…The BU model is determined according to the BU structure design. The junction box is a constant power load, and the specific model is determined according to [ 4 ].…”

Section: Fault Detection Methodsmentioning

confidence: 99%

“…High-voltage energy is gradually distributed to each terminal instrument through the PJB and SJB. The second and terminal layers have their own energy and communication management systems, which can isolate and work independently under various operation failures [ 1 , 4 ].…”

Section: Overview Of the Subsea Observation Networkmentioning

confidence: 99%

“…Cabled submarine observation networks are underwater monitoring networks formed by connecting many monitoring terminals/equipment distributed in the ocean through photoelectric composite cables. These networks are connected to the land transmission network grid and the communication network to realize the excellent span of land monitoring systems extending to the deep sea [ 1 , 2 , 3 , 4 ]. The reliable, safe, and stable power transmission of submarine observation networks is the key to ensuring that all underwater observation equipment can carry out scientific research and exploration work normally [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

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Fault Detection and Isolation Methods in Subsea Observation Networks

Xiao

Yao

Chen

et al. 2020

Sensors

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Subsea observation networks have gradually become the main means of deep-sea exploration. The reliability of the observation network is greatly affected by the severe undersea conditions. This study mainly focuses on theoretical research and the experimental platform verification of high-impedance and open-circuit fault detection for an underwater observation network. With the aid of deep learning, we perform the fault detection and prediction of the network operation. For the high-impedance and open-circuit fault detection of submarine cables, the entire system is modeled and simulated, and the voltage and current values of the operating nodes under different fault types are collected. Numerous calibrated data samples are supervised by a deep learning algorithm, and a fault location system model is built in the laboratory to verify the feasibility and superiority of the scheme. This paper also studies the fault isolation of the observation network, focusing on the communication protocol and the design of the fault isolation system. Experimental results verify the effectiveness of the proposed algorithm for the location and prediction of high-impedance and open-circuit faults, and the feasibility of the fault isolation system has also been verified. Moreover, the proposed methods greatly improve the reliability of undersea observation network systems.

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“…Ref. [ 4 ] proposed the parameters of a transmission cable: resistance

, inductance

, and capacitance

.…”

Section: Fault Detection Methodsmentioning

confidence: 99%

“…The BU model is determined according to the BU structure design. The junction box is a constant power load, and the specific model is determined according to [ 4 ].…”

Section: Fault Detection Methodsmentioning

confidence: 99%

Section: Overview Of the Subsea Observation Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fault Detection and Isolation Methods in Subsea Observation Networks

Xiao

Yao

Chen

et al. 2020

Sensors

Self Cite

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“…In September 2016, the primary and secondary junction boxes developed by Zhejiang University were deployed in the deep sea about 150 km away from the offshore base. The primary and secondary junction boxes provide a 10 kW power supply for ocean observation equipment and external expansion interfaces of various voltage levels [18,19]. Yang Fan proposed a set of fault location approach for scientific cabled seafloor observatories located in East China Sea, and the submarine observation network in this paper adopts the voltage level of −10 kV [20].…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation for the High Voltage DC-DC Converter of the Subsea Observation Network

Zheng

Zhang

Xiao

et al. 2021

JMSE

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The subsea observation network has become an indispensable means of ocean exploration worldwide. However, the scale of the subsea observation network is limited by the power supply voltage and power level. Hence, to promote the development of a subsea observation network, this paper investigates the underwater high voltage DC-DC converter (HVC), which greatly improves the voltage and power level of the subsea observation network. The traditional series-parallel converter based on multi-module is faced with many technical problems, such as difficult transformer isolation, many fault points, low power density under higher input voltage level, and higher output power. The subsea HVC of this paper adopts a modular multilevel resonant DC-DC converter. The main circuit of HVC is designed in detail, including a module circuit, a resonant circuit, and a control scheme. Through the combination of the sub-module removal voltage regulation and closed-loop control, the converter can still output a stable voltage of 375 V when the input voltage changes. The modular sub-module and centralized transformer structure enables the converter to isolate high voltage easily, small volume, and high power density. The simulation and experiment results show the proposed HVC meets the design requirements and has good application prospects. It can be applied to submarine power transmission and distribution needs because of its wide range, large transformation ratio, and high efficiency.

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Flashover discharge model of transmission lines in subsea observation network

Chen

Xiao

2020

Simulation Modelling Practice and Theory

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Stability analysis model for multi-node undersea observation networks

Cited by 5 publications

References 6 publications

Fault Detection and Isolation Methods in Subsea Observation Networks

Fault Detection and Isolation Methods in Subsea Observation Networks

Design and Implementation for the High Voltage DC-DC Converter of the Subsea Observation Network

Flashover discharge model of transmission lines in subsea observation network

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