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Robust backstepping control of an interlink converter in a hybrid AC/DC microgrid based on feedback linearisation method

Dehkordi, N ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1080/00207179.2016.1231425
  3. Abstract:
  4. This paper presents a robust dc-link voltage as well as a current control strategy for a bidirectional interlink converter (BIC) in a hybrid ac/dc microgrid. To enhance the dc-bus voltage control, conventional methods strive to measure and feedforward the load or source power in the dc-bus control scheme. However, the conventional feedforward-based approaches require remote measurement with communications. Moreover, conventional methods suffer from stability and performance issues, mainly due to the use of the small-signal-based control design method. To overcome these issues, in this paper, the power from DG units of the dc subgrid imposed on the BIC is considered an unmeasurable disturbance signal. In the proposed method, in contrast to existing methods, using the nonlinear model of BIC, a robust controller that does not need the remote measurement with communications effectively rejects the impact of the disturbance signal imposed on the BIC's dc-link voltage. To avoid communication links, the robust controller has a plug-and-play feature that makes it possible to add a DG/load to or remove it from the dc subgrid without distorting the hybrid microgrid stability. Finally, Monte Carlo simulations are conducted to confirm the effectiveness of the proposed control strategy in MATLAB/SimPowerSystems software environment. © 2016 Informa UK Limited, trading as Taylor & Francis Group
  5. Keywords:
  6. Backstepping control ; Feedback linearisation control ; Plug-and-play, nonlinear model ; Backstepping ; Controllers ; Disturbance rejection ; Feedback linearization ; Intelligent systems ; Matlab ; Monte carlo methods ; Nonlinear systems ; Rectifying circuits ; Voltage control ; Back-stepping controls ; Bidirectional interlink converter (BIC) ; DC link voltage control ; Non-linear model ; Feedback
  7. Source: International Journal of Control ; Volume 90, Issue 9 , 2017 , Pages 1990-2004 ; 00207179 (ISSN)
  8. URL: https://www.tandfonline.com/doi/abs/10.1080/00207179.2016.1231425?journalCode=tcon20