The Optimization Study about Fault Self-healing Restoration of Power Distribution Network Based on Multi-Agent Technology

Huang, Fuquan; Liu, Zijun; Tinghuang, Wang; Haitai, Zhang; Yip, Tony

doi:10.32604/cmc.2020.010724

Cited by 5 publications

(3 citation statements)

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“…After the image is transformed, small holes are filled. After the small holes are filled, there are still holes, the out-of-field holes are filled, and the virtual viewpoint image is finally generated [33].…”

Section: Experimental Processmentioning

confidence: 99%

Virtual Viewpoint Film and Television Synthesis Based on the Intelligent Algorithm of Wireless Network Communication for Image Repair

Zhang

2021

Wireless Communications and Mobile Computing

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With the development of the computer vision field, the acquisition of scene depth information is one of the important topics in the three-dimensional reconstruction of the computer vision field, and its significance is particularly important. The purpose of this paper is to study the virtual viewpoint video synthesis for image restoration based on the intelligent algorithm of wireless network communication. Aiming at the hole problem caused by the change of occlusion relationship, this paper proposes a hole-filling method based on background recognition. A threshold segmentation algorithm is used to reduce the filling priority of foreground pixels at the boundary of the hole and fully solve the hole problem. This paper also proposes a wireless sensor network node positioning model with swarm intelligence algorithm, which combines swarm intelligence algorithm with some key issues of wireless sensor network, speeds up the convergence, and improves the traditional intelligence algorithm. According to the experimental data in this paper, the algorithm in this paper is about 20% higher than the traditional algorithm in PSNR. On SSIM, the performance of the algorithm in this paper is 4.6% higher than the traditional algorithm at most, and the lowest is 2.2%.

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Section: Experimental Processmentioning

confidence: 99%

Virtual Viewpoint Film and Television Synthesis Based on the Intelligent Algorithm of Wireless Network Communication for Image Repair

Zhang

2021

Wireless Communications and Mobile Computing

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“…Time synchronization (TS) is a key pillar of maintaining the secure and stable functioning of the distribution power Internet of Things (IoT), which enables all devices in the network to keep the same logical clock [1,2]. With the development of new power systems, massive intelligent devices, renewable energy devices, and other distributed devices are integrated to the distribution power IoT [3][4][5][6], resulting in an stringent requirement for TS. While distributed IoT devices can operate at the same time by receiving external high-precision time synchronization signals, such as satellite clock sources and ground clock sources [7,8], it is not economically feasible to equip all distributed IoT devices with expensive TS modules [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

RL and AHP-Based Multi-Timescale Multi-Clock Source Time Synchronization for Distribution Power Internet of Things

Lu,

Zhao,

et al. 2024

CMC

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Time synchronization (TS) is crucial for ensuring the secure and reliable functioning of the distribution power Internet of Things (IoT). Multi-clock source time synchronization (MTS) has significant advantages of high reliability and accuracy but still faces challenges such as optimization of the multi-clock source selection and the clock source weight calculation at different timescales, and the coupling of synchronization latency jitter and pulse phase difference. In this paper, the multi-timescale MTS model is conducted, and the reinforcement learning (RL) and analytic hierarchy process (AHP)-based multi-timescale MTS algorithm is designed to improve the weighted summation of synchronization latency jitter standard deviation and average pulse phase difference. Specifically, the multi-clock source selection is optimized based on Softmax in the large timescale, and the clock source weight calculation is optimized based on lower confidence bound-assisted AHP in the small timescale. Simulation shows that the proposed algorithm can effectively reduce time synchronization delay standard deviation and average pulse phase difference.

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“…Therefore, this method can be applied to transmission systems and distribution networks 5 . Power system fully and reasonably applies the time sequence attribute of alarm information to correct the uncertain information such as misoperation, refusing operation and loss of protection and circuit breakers, and puts forward a rapid correction method when the topology of power grid changes, which effectively improves the problem that it is difficult to re-model when the topology changes 6 .…”

Section: Introductionmentioning

confidence: 99%

Design of power system fault location and diagnosis system based on improved decision tree algorithm

2023

Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023)

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The 10 kV distribution line in the power system has the characteristics of complex network structure and scattered load distribution. The frequency of faults in the line is relatively high, especially the single-phase ground fault, which accounts for more than 80% of the distribution network faults and has strong concealment. The most common and destructive fault in the power grid is the short-circuit fault of the transmission line. During the short-circuit, the instantaneous heat released by the arc and the enormous electric power generated by the short-circuit current can cause serious damage to the electrical equipment. In this regard, this article based on an improved decision tree algorithm to locate power system faults and designed a diagnostic system. The research results indicate that as the number of tested circuit boards increases, the prior probability of faults becomes closer to the actual distribution of faults, and the average diagnostic cost of faults is the lowest among the three algorithms. The average search length of the algorithm in this paper gradually decreases, and the downward jump of the curve indicates that the decision tree structure generated by the corresponding algorithm here has been adjusted. The power system fully and reasonably applies the temporal attributes of alarm information, effectively improving the problem of difficulty in re modeling when topology changes.

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The Optimization Study about Fault Self-healing Restoration of Power Distribution Network Based on Multi-Agent Technology

Cited by 5 publications

References 0 publications

Virtual Viewpoint Film and Television Synthesis Based on the Intelligent Algorithm of Wireless Network Communication for Image Repair

Virtual Viewpoint Film and Television Synthesis Based on the Intelligent Algorithm of Wireless Network Communication for Image Repair

RL and AHP-Based Multi-Timescale Multi-Clock Source Time Synchronization for Distribution Power Internet of Things

Design of power system fault location and diagnosis system based on improved decision tree algorithm

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