Design of Remote Monitoring System for Substation DC Power Supply under the Background of Big Data

Wang, Jiyu; Zhao, Qigen; Ye, Qiang

doi:10.1088/1742-6596/2037/1/012005

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…Divide the coverage area of the corresponding surveillance camera [13]. However, it should be noted that the position of the farthest identification point currently designed is not fixed, and it can be flexibly adjusted and scheduled according to the actual layout requirements, so as to strengthen the layout sensitivity of the current monitoring nodes and lay the foundation for subsequent settings [14].…”

Section: Set the Farthest Identification Point Of The Cameramentioning

confidence: 99%

Research on layout method of monitoring camera in non-direct-view area of substation

Li,

Zhang,

Chen

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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At present, the layout model of monitoring cameras in non-direct-view areas is generally target-oriented, and the coverage of monitoring cameras is limited, which leads to the reduction of the recognition extension ratio of the sensing range of monitoring cameras. Therefore, the design and research on the layout method of monitoring cameras in non-direct-view areas of substations are proposed. According to the current test requirements, the farthest identification point of the camera is set first, and the effective sensing area of the non-direct-view area is calculated. Based on this, the limitation of the surveillance camera coverage is broken by adopting a multi-target method, and an adaptive multi-target surveillance camera layout model is designed, and the camera layout is realized by adopting a "flat package vertical" correction processing method. The final test results show that: after three stages of auxiliary testing, the extension ratio of the detection range of the monitoring camera can reach above 6, which shows that the monitoring camera layout method in the nondirect-view area of the substation is more efficient, specific, targeted and has practical application value with the help of intelligent technology, predictive auxiliary structure and virtual interference processing technology.

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Section: Set the Farthest Identification Point Of The Cameramentioning

confidence: 99%

Research on layout method of monitoring camera in non-direct-view area of substation

Li,

Zhang,

Chen

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

View full text Add to dashboard Cite

show abstract

“…With the development of the power industry around the world, the data of the power system has increased dramatically and has now reached the petabyte (PB) level. This means that the current power industry is entering the era of big data (Wang et al, 2021). Therefore, it is imperative to develop a maintenance strategy that can stably guarantee the operation of the power grid based on massive data.…”

Section: Introductionmentioning

confidence: 99%

State assessment of 110–220 kV intelligent substation based on multisensor fusion algorithm control and image vision

et al. 2023

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With the development of modern information technology, intelligent substation technology has been widely used, which greatly promotes the development of power grid. The information integration platform of intelligent substations realizes panoramic data collection and data sharing of substations. With the continuous development of the economy and society, it is crucial to improve the power regulation ability of intelligent substations, make scientific use of intelligent technology, and optimize the patrol level of intelligent substation patrol robots to better meet the operation needs of substations. In the actual substation construction, the flexibility of equipment utilization in intelligent substations should be fully considered. In addition, the number of substations should be controlled to improve the utilization efficiency of patrol robots. This paper mainly summarizes the monitoring technology of intelligent substations, the positioning technology of inspection robots, and the multi-sensor control technology to lay a foundation for the follow-up inspection work of intelligent substations.

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“…With the rise of intelligent, automated, and unmanned substations, the importance of DC power systems has grown significantly. DC power is vital for operating protection devices, switches, and automation equipment in substations [1]. Typically, AC/DC converters provide DC power and charge batteries through AC power.…”

Section: Introductionmentioning

confidence: 99%

Capacity Prediction of VRLA Batteries Based on Stepwise Regression Analysis

Le,

Wang,

et al. 2023

J. Phys.: Conf. Ser.

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Effective maintenance of valve-regulated lead-acid (VRLA) battery groups within substations is critical for DC system reliability. Therefore, assessing battery health and remaining capacity is essential. In this study, we focus on predicting the VRLA battery group remaining capacity and propose a prediction model based on stepwise regression. This model utilizes operational data, combining the charging and discharging characteristics of VRLA batteries. Stepwise regression selects the optimal independent variable subset, mitigating poor predictions from using all variables in multiple linear regression. Experimental results validate the accurate prediction of lead-acid battery capacity decline, offering effective forecasts. This model is expected to be widely applied in the capacity prediction of DC power systems in substations.

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Design of Remote Monitoring System for Substation DC Power Supply under the Background of Big Data

Cited by 4 publications

References 7 publications

Research on layout method of monitoring camera in non-direct-view area of substation

Research on layout method of monitoring camera in non-direct-view area of substation

State assessment of 110–220 kV intelligent substation based on multisensor fusion algorithm control and image vision

Capacity Prediction of VRLA Batteries Based on Stepwise Regression Analysis

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