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A general analytical approach to reach maximum grid support by PMSG-based wind turbines under various grid faults

Atash Bahar, F ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1007/s11771-019-4217-1
  3. Publisher: Central South University of Technology , 2019
  4. Abstract:
  5. A novel fault ride-through strategy for wind turbines, based on permanent magnet synchronous generator, has been proposed. The proposed strategy analytically formulates the reference current signals, disregarding grid fault type and utilizes the whole system capacity to inject the reactive current required by grid codes and deliver maximum possible active power to support grid frequency and avoid generation loss. All this has been reached by taking the grid-side converter’s phase current limit into account. The strategy is compatible with different countries’ grid codes and prevents pulsating active power injection, in an unbalanced grid condition. Model predictive current controller is applied to handling rapid transients. During faults, the energy storage system maintains DC-link voltage, which causes voltage fluctuations to be eliminated, significantly. A fault ride-through strategy was proposed for PMSG-based wind turbines, neglecting fault characteristics, second, reaching maximum possible grid support in faulty grid conditions, while avoiding over-current and third, considerable reduction in energy storage system size and power rating. Inspiring simulations have been carried out through MATLAB/SIMULINK to validate the feasibility and competency of the proposed fault ride-through method and efficiency of the entire control system. © 2019, Central South University Press and Springer-Verlag GmbH Germany, part of Springer Nature
  6. Keywords:
  7. Permanent magnet machines ; Power system faults ; Wind power generation ; Electric power generation ; Energy storage ; MATLAB ; Permanent magnets ; Synchronous generators ; Wind power ; Wind turbines ; Energy storage systems ; Fault characteristics ; Permanent magnet synchronous generator ; Permanent-magnet machine ; Power system fault ; Predictive control ; Unbalanced grid conditions ; Voltage fluctuations ; Electric power transmission networks
  8. Source: Journal of Central South University ; Volume 26, Issue 10 , 2019 , Pages 2833-2844 ; 20952899 (ISSN)
  9. URL: https://link.springer.com/article/10.1007/s11771-019-4217-1