Topology Verification Method of Low-Voltage Distribution Network based on T-type Grey Correlation Degree

Zhang, Zhidan; Tang, Haiguo; Zhu, Jizhong; Zhang, Di; Hua, Leng

doi:10.1109/icsgea51094.2020.00020

Cited by 4 publications

(5 citation statements)

References 4 publications

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“…By analyzing the historical data of workers, the structure establishes a database of dangerous sources to realize real-time monitoring and early warning of workers; And push the relevant information to the risk identification algorithm, and automatically judge whether the operator is in the hazard according to the historical data in the hazard database and the site environmental conditions. This structure can timely and accurately identify the potential hazards in the power aerial work scene, and realize real-time monitoring and early warning of the potential hazards in the power aerial work scene [7][8]. Aiming at the risk of major hazards in a specific power aerial work scene, the structure of hazards in the power aerial work scene is deeply analyzed in order to effectively identify and deal with potential risks.…”

Section: Analysis Of the Structure Of Hazard Sources In Electric Aeri...mentioning

confidence: 99%

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Active tracking algorithm for personnel in power aerial work scene based on illumination weight distribution and attention

Mao,

Cai,

et al. 2024

International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024)

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In special circumstances, people in power aerial work scenes often have to face high-risk and complex working conditions. How to ensure the safety of workers and improve their working efficiency has become one of the urgent problems to be solved. Therefore, an active tracking algorithm for people in power aerial work scenes based on illumination weight distribution and attention is proposed. The dangerous source structure of power aerial work scene is constructed, and the light weight distribution and attention are combined, and the active tracking index is constructed to evaluate the risk level, which is divided into five levels, and the active tracking offset of personnel in power aerial work scene is calculated to locate the abnormal point of personnel in power aerial work scene. The experimental results show that the response curve of the algorithm in this paper is in good agreement with the ideal curve, and the active tracking accuracy is high, so it has good active tracking effect.

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Section: Analysis Of the Structure Of Hazard Sources In Electric Aeri...mentioning

confidence: 99%

“…In the specific scene of electric aerial work, the standard position of operators is calibrated. Calculate the trajectory distance between the standard point and the personnel position point, as shown in Formula (7).…”

Section: Locate the Abnormal Points Of Personnel In Aerial Work Scenementioning

confidence: 99%

Active tracking algorithm for personnel in power aerial work scene based on illumination weight distribution and attention

Mao,

Cai,

et al. 2024

International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024)

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“…The theory and method of grey correlation degree [6] the measure of the correlation of the factors between two systems that change with time or different objects is called correlation degree. In the process of system development, if the changing trend of the two factors is consistent, that is, the degree of synchronous change is high, it can be said that the degree of correlation between the two is high; On the contrary, it is lower.…”

Section: Determination Of Objective Index Weight By Grey Correlation ...mentioning

confidence: 99%

Research on Investment Strategy and Evaluation Mechanism of Power Enterprises Considering Local Development Characteristics

Yang

Wang

Duan

et al. 2021

Glob. J. Energ. Technol. Res. Updat.

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The investment in developing industries with local characteristics is an essential link in the industrial investment chain of power enterprises. Reasonably selecting industries worthy of investment will significantly improve the income of power enterprises. Firstly, this paper constructs an investment project benefit evaluation system including economic benefit indicators and social environment indicators. Secondly, the combination of the analytic hierarchy process and grey correlation method is used to determine the index weight, and the comprehensive evaluation method is used to calculate the score of each index. Finally, the corresponding investment proportion allocation model is established to calculate the relevant industries worthy of investment.

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“…The low-voltage distribution network covers a wide range of areas with dense personnel activities [1][2] , which is prone to leakage faults. At present, low-voltage distribution networks mostly use the residual current protective device (RCD) to realize leakage protection [3] .…”

Section: Introductionmentioning

confidence: 99%

Leakage Protection of Low Voltage TN-C System Based on Characteristic Currents Amplitude Ratio

Sun

Gong

2023

J. Phys.: Conf. Ser.

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With the repeated grounding of the PEN line, load fluctuation, and other factors, there is no available leakage protection for the low-voltage TN-C system, which is very dangerous when a leakage fault occurs. And TN-C grounding mode is still widely used, and the reformation is slow. The single-phase leakage fault and load fluctuation characteristics of the TN-C system are analyzed, and a leakage protection method for the TN-C system based on the amplitude ratio of characteristic currents is proposed. This method takes the amplitude of the residual current sudden change as the starting criterion, and constructs the action criterion according to the amplitude ratio of load current sudden change and residual current’s sudden change, so as to realize the discrimination of leakage fault and load fluctuation. The proposed method can overcome the influence of load fluctuation and other factors, suitable for TN-C systems with high sensitivity and reliability. The effectiveness of the protection is verified by simulation.

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Topology Verification Method of Low-Voltage Distribution Network based on T-type Grey Correlation Degree

Cited by 4 publications

References 4 publications

Active tracking algorithm for personnel in power aerial work scene based on illumination weight distribution and attention

Active tracking algorithm for personnel in power aerial work scene based on illumination weight distribution and attention

Research on Investment Strategy and Evaluation Mechanism of Power Enterprises Considering Local Development Characteristics

Leakage Protection of Low Voltage TN-C System Based on Characteristic Currents Amplitude Ratio

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