Application of Beidou satellite timing and communication technology in power system fault location

Wang, Qingling; Chen, Honghui; Ye, Huan; Shu, Lei; Zhang, Xiangjun; Zhou, J J; Feng, Donghai

doi:10.1109/drpt.2015.7432422

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…The power system is an important infrastructure in modern society. The covered services of the power system are linked to many high-tech fields and are of great significance to the development of the industry and society [1][2][3]. With the increasingly complex industrial structure and service types of the power system, the precision of timing, positioning, and information transmission has an increasingly prominent impact on the services in the power system, such as load control, distribution automation, and precise regulation.…”

Section: Introductionmentioning

confidence: 99%

High-Precision Timing Method of BeiDou-3 System Based on Reinforcement Learning

Dai

et al. 2022

J. Phys.: Conf. Ser.

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All aspects of smart grid operation require precise timing technology to improve the timeliness and precision of the network. However, due to the complex and time-varying network environment and the low precision of device timing, the existing timing technology cannot meet the timing precision required by smart grid services. Therefore, according to the multi-armed bandit (MAB) theory and the upper confidence bound (UCB) algorithm, this paper proposes a high-precision timing method for power transmission and distribution park named adaptive timing-aware upper confidence bound (AUCB). The long-term average reward is maximized based on local information and historical decision-making experience. The simulation results show that the proposed high-precision timing method of AUCB in the power transmission and distribution park can effectively improve the device timing precision and realize self-adaptive timing for power system devices.

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Section: Introductionmentioning

confidence: 99%

High-Precision Timing Method of BeiDou-3 System Based on Reinforcement Learning

Dai

et al. 2022

J. Phys.: Conf. Ser.

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“…Existing research includes Beidou-based data transmission research. 16,17 It should be pointed out that the data transmission capability of Beidou channel is extremely limited with large delay, which is not enough to support the practical control of weapons. Research on dual-channel remote control of digital radio and Beidou mainly proposes the idea of timeout retransmission and verification to ensure the reliable transmission of data.…”

Section: Introductionmentioning

confidence: 99%

Multichannel adaptive deployment and reliable communication design for unmanned surface vessel

Yin

2020

International Journal of Advanced Robotic Systems

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For the unmanned surface vessel in performing military missions, the safety and controllability are two basic requirements, which need reachable communication channel and reliable data transmission. This article proposes an adaptive switching model with multichannel resource and the unmanned surface vessel shore-to-sea data intercommunication design method. The scheme adopts various mechanisms such as data space, standardized encapsulation, numbering and verification, and active/passive retransmission, which can ensure reliable data transmission and provide reliable communication information for unmanned surface vessel during autonomous mission. A sea trial is also carried out on the unmanned surface vessel control system based on the design scheme. Data analysis shows that the system can successfully realize communication switching and continuous data transformation, which is consistent with design expectation, and guarantees the continuous monitoring and control of unmanned surface vessel by shore-based control station.

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Application of Beidou satellite timing and communication technology in power system fault location

Cited by 2 publications

References 7 publications

High-Precision Timing Method of BeiDou-3 System Based on Reinforcement Learning

High-Precision Timing Method of BeiDou-3 System Based on Reinforcement Learning

Multichannel adaptive deployment and reliable communication design for unmanned surface vessel

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