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- 저자 : Fan Yanfang (검색결과 5 건)
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Operating area analysis and design of WPT systems with MEPT control
Weipeng Gao,Yanfang Fan,Chengxuan Wang,Kangping Wang,Hongchang Li 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.4
Coupled resonant tanks are key parts of wireless power transfer (WPT) systems with magnetic resonant coupling. Researchers have proposed different resonant tank design methods to improve power transfer efficiency, increase power density, reduce magnetic flux leakage, or lower VA ratings. Practical WPT systems require a closed-loop control to cope with the variations of operation conditions, but only a few studies have considered the safe operating area (SOA) of systems under closed-loop control in resonant tanks designs. In this work, we analyze closed-loop voltage and current stress characteristics from the aspect of maximum efficiency point tracking control and derive the SOA with a given set of stress limits. Then, we propose a resonant parameter design method of allowing the system to safely operate with any specified range of coupling coefficient and output power. The current stress was minimized in the design to reduce the conductive loss. As for the verification, an experimental prototype was built according to the design method.
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Local Similarity based Discriminant Analysis for Face Recognition
( Xinguang Xiang ),( Fan Liu ),( Ye Bi ),( Yanfang Wang ),( Jinhui Tang ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.11
Fisher linear discriminant analysis (LDA) is one of the most popular projection techniques for feature extraction and has been widely applied in face recognition. However, it cannot be used when encountering the single sample per person problem (SSPP) because the intra-class variations cannot be evaluated. In this paper, we propose a novel method called local similarity based linear discriminant analysis (LS_LDA) to solve this problem. Motivated by the “divide-conquer” strategy, we first divide the face into local blocks, and classify each local block, and then integrate all the classification results to make final decision. To make LDA feasible for SSPP problem, we further divide each block into overlapped patches and assume that these patches are from the same class. To improve the robustness of LS_LDA to outliers, we further propose local similarity based median discriminant analysis (LS_MDA), which uses class median vector to estimate the class population mean in LDA modeling. Experimental results on three popular databases show that our methods not only generalize well SSPP problem but also have strong robustness to expression, illumination, occlusion and time variation.
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Bai Xueyan,Fan Yanfang,Hou Junjie,Liu Yujia 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.3
With the continuous increase in the proportion of renewable energy access, reliability confdence capacity, as an important decision-making reference for measuring the contribution of power sources to the power system, has received widespread attention in power system planning and operation. It is of great signifcance to scientifcally and reasonably evaluate the reliability confdence capacity of renewable energy. This paper proposes a comprehensive evaluation method for renewable energy reliability confdence capacity based on improved Decision-Making Trial and Evaluation Laboratory-Analytic Hierarchy Process-Entropy Weight Method. Firstly, construct a reliability confdence capacity assessment model for renewable energy. Secondly, based on the comprehensive infuence weight calculated by improving the DEMATEL method, the AHPEWM subjective and objective weighting method based on game theory is used to establish the renewable energy confdence capacity index system and calculate the weight. Finally, simulation verifcation is conducted using an actual power grid in the northwest region of China as an example. The simulation results demonstrate that the proposed method has good feasibility and accuracy, and can provide decision-making support for the planning and operation of the new power system.
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Capacitor commutation type DC circuit breaker with fault character discrimination capability
Yao Sun,Yanfang Fan,Junjie Hou 전력전자학회 2023 JOURNAL OF POWER ELECTRONICS Vol.23 No.6
Flexible direct current (DC) grids face a serious challenge in terms of rapidly isolating DC faults. A DC circuit breaker is an effective solution for DC fault isolation. To improve the fault-isolation and reclosing capability of fl exible DC systems, a new high voltage direct current (HVDC) circuit breaker topology with adaptive reclosing capability is proposed in this paper. The topology of the circuit breaker is a T-shaped structure, which has the ability to break the current in both directions and effectively reduce the cost of components. Meanwhile, after the fault is cleared, the circuit breaker is controlled to inject a voltage signal into the line. Based on this, to prevent the circuit breaker reclosing in the event of a permanent fault from having an impact on the system, a method for fault identification based on Euclidean distance that uses the voltage signal to identify the fault properties is proposed. Finally, the performance of the circuit breaker is simulated and verified by PSCAD/EMTDC simulation software, and compared with the typical existing circuit breakers to verify the effectiveness of the circuit breaker and reclosing scheme.
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Minxiu Zhang,Xianwen Deng,Zhixun Xie,Yanfang Zhang,Zhiqin Xie,Liji Xie,Sisi Luo,Qing Fan,Tingting Zeng,Jiaoling Huang,Sheng Wang 대한수의학회 2022 Journal of Veterinary Science Vol.23 No.5
Background: Chicken anemia virus (CAV) causes chicken infectious anemia, which results in immunosuppression; the virus has spread widely in chicken flocks in China. Objectives: The aim of this study was to understand recent CAV genetic evolution in chicken flocks in Guangxi Province, southern China. Methods: In total, 350 liver samples were collected from eight commercial broiler chicken farms in Guangxi Province in southern China from 2018 to 2020. CAV was detected by conventional PCR, and twenty CAV complete genomes were amplified and used for the phylogenetic analysis and recombination analysis. Results: The overall CAV-positive rate was 17.1%. The genetic analysis revealed that 84 CAVs were distributed in groups A, B, C (subgroups C1-C3) and D. In total, 30 of 47 Chinese CAV sequences from 2005-2020 belong to subgroup C3, including 15 CAVs from this study. There were some specific mutation sites among the intergenotypes in the VP1 protein. The amino acids at position 394Q in the VP1 protein of 20 CAV strains were consistent with the characteristics of a highly pathogenic strain. GX1904B was a putative recombinant. Conclusions: Subgroup C3 was the dominant genotype in Guangxi Province from 2018–2020. The 20 CAV strains in this study might be virulent according to the amino acid residue analysis. These data help improve our understanding of the epidemiological trends of CAV in southern China.
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