Improved Stabilization of Nonlinear DC Microgrids: Cubature Kalman Filter Approach

Mohammad Amin Kardan, Mohammad Hassan Asemani, Alireza Khayatiyan, Navid Vafamand, Mohammad Hassan Khooban, Tomislav Dragicevic, Frede Blaabjerg

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22 Citations (Scopus)
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This paper investigates the injecting power stabilization of nonlinear dc microgrids (MGs) with constant power loads (CPLs). By considering a centralized controller scheme, the limitations of the communication utilities are considered. Therefore, limited information is transferred through the nonideal noisy communication network. Consequently, a cubature Kalman filter (CKF) with a third degree is proposed to mitigate the effect of the noisy measurement and the noisy network on the system's information. Moreover, an estimation-based robust feedback controller is developed to design an optimal value for the injecting power. The considered CKF algorithm is robust against the system uncertainty and noisy environments and has a low computational time for high-order dc MGs with a high number of sources and CPLs. In addition, a systematic procedure to compute the feedback gain of the controller is presented, which can be numerically solved by linear matrix inequality techniques. Hardware-in-the-loop real-time simulation results verify the simplicity of the controller implementation, enhanced performance for the case of limited information, and better robustness against the noisy measurements compared to the state-of-the-art methods.
Original languageEnglish
Article number8388287
JournalI E E E Transactions on Industry Applications
Issue number5
Pages (from-to)5104-5112
Number of pages9
Publication statusPublished - Sep 2018



  • Constant power load (CPL)
  • cubature Kalman filter (CKF)
  • dc microgrid (MG)
  • hardware-in-the-loop (HiL)
  • linear matrix inequality (LMI)
  • nonideal communication network

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