715 / 2022-03-31 17:36:36
An Improved BCTRAN Model of three-phase three-limbs transformer in offshore wind power systems
three-phase three-limb transformers,offshore wind power systems,improved BCTRAN model,deep saturation characteristics,inrush current
终稿
汪 可 / China Electric Power Research Institute
龙 洋 / 重庆大学
李 刚 / China electric power research institut
杨 鸣 / Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing University)
司马 文霞 / Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing University)
Purpose/Aim

Three-phase three-limbs transformers are widely used in offshore wind power systems,which play an important role in electric energy transmission. The simulation speed of transformer finite element model is affected by many factors. The electromagnetic transient transformer model needs to be established to meet the needs of rapid simulation.

Experimental/Modeling methods

The parameter extraction test and inrush experiment are carried out on the finite element model of 12.5MVA engineering simulation transformer in offshore wind power station. Based on the principle of BCTRAN model, the improved BCTRAN model for this engineering simulation transformers is proposed considering deep saturation of iron core. .

Results/discussion

Inrush current experiments on a this 12.5MVA engineering simulation transformer in offshore wind power station show that the first peak error of inrush current of the improved BCTRAN model is reduced from 24.9% to -1.7% comparing with the traditional model.

Conclusions

The results show that the improved BCTRAN model of three-phase three-limbs transformers in offshore wind power station can accurately represent the saturation characteristics,which can provide a basic electromagnetic transient transformer model for the study of  three-phase three-limbs transformers in offshore wind power station.
重要日期
  • 会议日期

    09月25日

    2022

    09月29日

    2022

  • 08月15日 2022

    提前注册日期

  • 09月10日 2022

    报告提交截止日期

  • 11月10日 2022

    注册截止日期

  • 11月30日 2022

    初稿截稿日期

  • 11月30日 2022

    终稿截稿日期

主办单位
IEEE DEIS
承办单位
Chongqing University
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