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  • He, Xin  (2)
  • Xing, Chao  (2)
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  • 1
    Online Resource
    Online Resource
    Research on Life Prediction of IGBT Devices Based on Elman Neural Network Model
    IOP Publishing ; 2020
    In:  Journal of Physics: Conference Series Vol. 1550, No. 3 ( 2020-05-01), p. 032148-
    Details
    In: Journal of Physics: Conference Series, IOP Publishing, Vol. 1550, No. 3 ( 2020-05-01), p. 032148-
    Abstract: IGBT, as a new generation of composite full-controlled voltage-driven power semiconductor devices, has been widely used in the field of modern power electronics. The study of IGBT device life prediction has important guiding significance for the stable operation and reliability management of power system. In this paper, the Cofin-Manson-Arrhenius extended exponential model based on thermal load is analyzed, and the model parameters are trained and modified by the Elman neural network in order to improve the prediction accuracy of life prediction model. The Coffin-Manson-Arrhenius extension exponential model and the new improved model are simulated and validated by experiments. The results are compared with the actual life of IGBT. It is concluded that the Coffin-Manson-Arrhenius extension exponential model based on Elman neural network has higher accuracy in life prediction than the Coffin-Manson-Arrhenius extension exponential model.
    Type of Medium: Online Resource
    ISSN: 1742-6588 , 1742-6596
    URL: Article
    DOI: 10.1088/1742-6596/1550/3/032148
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2020
    detail.hit.zdb_id: 2166409-2
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  • 2
    Online Resource
    Online Resource
    Research on the STATCOM Mathematical Model of Battery Storage in HVDC Transmission System
    Frontiers Media SA ; 2022
    In:  Frontiers in Energy Research Vol. 10 ( 2022-6-23)
    Details
    In: Frontiers in Energy Research, Frontiers Media SA, Vol. 10 ( 2022-6-23)
    Abstract: When traditional STATCOM (Static Synchronous Compensator) performs large-capacity reactive power compensation, the control accuracy of the DC side voltage will be affected and the DC side voltage will fluctuate greatly. Therefore, this study proposes to use battery energy storage STATCOM (STATCOM/BESS) and gives the main circuit topology of STATCOM/BESS. By analyzing the working principle of STATCOM/BESS, the mathematical model and control method are derived and modeled, in which the Shepherd model is used as the energy storage battery in STATCOM/BESS. Aiming at the possible imbalance of the battery state of charge (SOC) in STATCOM/BESS, the phase-to-phase SOC balance control and phase control are proposed. At last, in PSCAD/EMTDC simulation software, STATCOM/BESS is tested for dynamic response and steady-state response performance of active power control, reactive power control, and transformation failure suppression test, which verifies the effectiveness and superiority of STATCOM/BESS commutation failure.
    Type of Medium: Online Resource
    ISSN: 2296-598X
    URL: Article
    DOI: 10.3389/fenrg.2022.827914
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2733788-1
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