Deep learning-based comprehensive monitor for smart power station

Zhong, Yerong; Ruan, Guoheng; Jiang, Jiaming

doi:10.1504/ijguc.2021.119564

Cited by 2 publications

(7 citation statements)

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“…Table 3 shows the obtained results for the UAV inspection solution applied to the power grid system of Figure 5 in the case of failed lines between nodes 6−7, 22−23, and 21−31. The selection of the best two nodes consists of 12 possibilities: (12,27); (12,31); (12,33); (27,12); (27,31); (27,33); (31,12); (31,27); (31,33); (33,12); (33,27); and (33,31). The selection among these different combinations is based on the one providing the lowest total cost calculated as the total cruised F I G U R E 4 Example of a power grid model for a transmission system with 33 buses, 2 of which are selected as generators (note that the light blue lines represent roads).…”

Section: Results and Insightsmentioning

confidence: 99%

“…The selection among these different combinations is based on the one providing the lowest total cost calculated as the total cruised F I G U R E 4 Example of a power grid model for a transmission system with 33 buses, 2 of which are selected as generators (note that the light blue lines represent roads). (33,27), where both nodes 33 and 27 are visited using option 'B', then the combination (31,12) is selected, where both nodes are visited using options 'A' and 'C' respectively. The planned paths consist of the expected paths that the UAV will follow based on the selected combinations and options.…”

Section: Results and Insightsmentioning

confidence: 99%

“…For fast response and autonomous monitoring of power substations, the authors in ref. [12] proposed a UAV inspection system, where reliable and efficient navigation paths were obtained using deep Q-learning and edge computing techniques. In ref.…”

Section: Related Workmentioning

confidence: 99%

“…In specific, existing UAV flying path design [20–33, 39, 41, 44, 45] cannot be directly applied to power grid inspection, since the latter should ensure loads are connected to a healthy substation, and should consider load prioritisation, where inspecting the most critical loads first is of utmost importance for fast power restoration. Unfortunately, all the existing works related to UAVs path design for power inspection [12–19, 36, 38, 42] do not consider these important aspects.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Efficient unmanned aerial vehicle paths design for post‐disaster damage assessment of overhead transmission lines

et al. 2023

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The widespread distribution of overhead transmission lines increases the vulnerability of power grids to failures. Thus, power lines need to be timely inspected, especially before or during emergency‐related situations to ensure stable operation of the power grid. Traditional methods of visual inspection (satellites and helicopters) are inconvenient, often cannot be deployed and if they are deployed present a slow response time and high cost, which is very critical for fast post‐disaster damage identification. On the other hand, employing an unmanned aerial vehicle (UAV) offers a more efficient, reliable, and faster means for the assessment process. This article proposes a novel approach for the post‐disaster UAV‐based damage assessment of overhead power lines. In the proposed approach, the UAVs paths over the most critical loads are formulated as an optimisation problem with the objective of minimising the total inspection time while considering the recharging of the UAVs' batteries. To solve the problem, an efficient framework that optimises the UAVs flight paths is proposed to inspect the critical loads in an efficient order, while accounting for the UAV recharging. This guarantees that the UAVs complete the assessment tasks unlike existing benchmarks.

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Section: Results and Insightsmentioning

confidence: 99%

Section: Results and Insightsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Efficient unmanned aerial vehicle paths design for post‐disaster damage assessment of overhead transmission lines

et al. 2023

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“…The whole layout is realized in the effective monitoring area, and the current edge nodes are overlapped and associated to form a cyclic closed-loop node deployment structure [21]. At this time, adjust the control indicators and parameters of the camera [22]. As shown in Table 1 below: 1, the multi-stage control indicators and parameters of the surveillance camera are set [23].…”

Section: Calculation Of Effective Sensing Area For Non-direct Vision ...mentioning

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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Deep learning-based comprehensive monitor for smart power station

Cited by 2 publications

References 0 publications

Efficient unmanned aerial vehicle paths design for post‐disaster damage assessment of overhead transmission lines

Efficient unmanned aerial vehicle paths design for post‐disaster damage assessment of overhead transmission lines

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

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