Assessment Method for Wind-resistance Resilience of Power Grid based on Extension Analytic Hierarchy Process

Weng, Geping; Haojie, Ruan; Qian, Cheng; Wei, Fei; Gongjin, Yu; Guangyu, Wei

doi:10.1504/ijise.2020.10036167

Cited by 2 publications

(2 citation statements)

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“…The expression is shown as follows (1). To compare the efficiency of different types of prediction models, the training time and debugging time were selected as the evaluation criteria of prediction efficiency, and the loss function decay to a stable value was taken as the termination condition [10][11][12] . max arg 1…”

Section: Evaluation Index Of Prediction Accuracymentioning

confidence: 99%

Lightning trip prediction of overhead transmission lines based on CNN-GRU network

Wang,

2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

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Aiming at the high randomness and uncertainty of lightning trips in overhead transmission lines, the prediction accuracy and efficiency of lightning trips are low, and a prediction method of the lightning trip for overhead transmission lines based on CNN-GRU is proposed. Firstly, the feature set of lightning trip prediction influencing factors of overhead transmission lines is constructed based on the main characteristics influencing factors of overhead transmission lines and operating environment characteristics influencing factors. Secondly, the association rules are used to quantify the correlation between influencing factors and lightning trips. Finally, the Convolutional Neural Network (CNN) -gated Recurrent Unit (GRU) combined network is used to extract the high-dimensional internal connections between the influencing feature factors and line lightning tripping and train them. Combined with practical examples, the prediction results show that the CNN-URU prediction model proposed in this paper has higher prediction accuracy and efficiency than other prediction models.

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Section: Evaluation Index Of Prediction Accuracymentioning

confidence: 99%

Lightning trip prediction of overhead transmission lines based on CNN-GRU network

Wang,

2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

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“…In the traditional analytic hierarchy process (AHP), there are defects in the evaluation of the above traceability links by the relevant personnel due to its subjectivity [27]. The extension analytic hierarchy process (EAHP) was applied to realize the analysis of each functional indicator of the quality traceability of industrial products throughout their life cycle [28]. This study takes a manufacturing enterprise in the Xinjiang region as the research object, selects 15 product quality management personnel, adopts a 1~9-point Satty scale method for rating, and obtains judgment matrix A:…”

Section: Assessment Of Weighting Indicators For Traceability Linksmentioning

confidence: 99%

Research on the Construction of a Blockchain-Based Industrial Product Full Life Cycle Information Traceability System

Xiao,

Sun,

Chang

et al. 2024

Applied Sciences

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The application of blockchain technology in industrial product quality traceability is analyzed to construct a new model of product quality traceability that is mainly based on blockchain technology and supplemented by an identity system. The blockchain-enabled overall technical architecture of an industrial product quality traceability system is explored, and a blockchain-based industrial product full life cycle information traceability system is constructed. First, the weights of the information indicators of different links of the industrial equipment information traceability system were calculated using the EAHP hierarchical analysis method. The manufacturing link had the largest weight, with a value of 18.8%. Second, the system’s functional module design is based on the weights. We designed and developed the industrial product information traceability platform based on the hybrid blockchain chain structure of private chain + alliance chain. Finally, a manufacturing enterprise in the Xinjiang region is taken as the research object, query validation is carried out for the products produced by the enterprise, and the average query time of the system is measured to be 65.376 ms. It can meet the traceability needs of consumers and enterprise users. The research can provide theoretical support and reference for the whole life cycle information traceability of industrial products.

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Assessment Method for Wind-resistance Resilience of Power Grid based on Extension Analytic Hierarchy Process

Cited by 2 publications

References 0 publications

Lightning trip prediction of overhead transmission lines based on CNN-GRU network

Lightning trip prediction of overhead transmission lines based on CNN-GRU network

Research on the Construction of a Blockchain-Based Industrial Product Full Life Cycle Information Traceability System

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