Networked Fuzzy Predictive Control of Power Buffers for Dynamic Stabilization of DC Microgrids

Navid Vafamand, Mohammad Hassan Khooban, Tomislav Dragicevic, Frede Blaabjerg

Research output: Contribution to journalLetterResearchpeer-review

21 Citations (Scopus)
6 Downloads (Pure)

Abstract

This letter investigates the fuzzy model predictive control synthesis of networked controlled power buffer for dynamic stabilization of a dc microgrid (MG). The proposed is based on Takagi-Sugeno fuzzy model and model predictive scheme to mitigate the network-induced delays from the sensor-to-controller and controller-to-actuator links. By employing the so-called time-stamp technique and network delay compensator (NDC), the delays are computed and compensated, which improves the effectiveness and robustness of the proposed controller. Due to the usage of two NDCs, the presented approach is robust against the network delays and results in small computational burden. Therefore, it can widely be employed on large distributed power systems. To show the merits of the proposed approach, it is applied to a dc MG that feeds one constant power load. Results show the simplicity of designing the controller and better robustness against the network's delays compared to the state-of-the-art methods. Additionally, hardware-in-the-loop simulations are presented to prove the practical applicability of the proposed controller.

Original languageEnglish
Article number8336888
JournalI E E E Transactions on Industrial Electronics
Volume66
Issue number2
Pages (from-to)1356 - 1362
Number of pages7
ISSN0278-0046
DOIs
Publication statusPublished - Feb 2019

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Stabilization
Controllers
Robustness (control systems)
Model predictive control
Actuators
Hardware
Sensors

Keywords

  • DC microgrid (MG)
  • Constant power load (CPL)
  • Takagi-Sugeno (TS) fuzzy model
  • Hardware-in-the-loop (HiL)
  • Model predictive controller (MPC)
  • Random network delay

Cite this

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title = "Networked Fuzzy Predictive Control of Power Buffers for Dynamic Stabilization of DC Microgrids",
abstract = "This letter investigates the fuzzy model predictive control synthesis of networked controlled power buffer for dynamic stabilization of a dc microgrid (MG). The proposed is based on Takagi-Sugeno fuzzy model and model predictive scheme to mitigate the network-induced delays from the sensor-to-controller and controller-to-actuator links. By employing the so-called time-stamp technique and network delay compensator (NDC), the delays are computed and compensated, which improves the effectiveness and robustness of the proposed controller. Due to the usage of two NDCs, the presented approach is robust against the network delays and results in small computational burden. Therefore, it can widely be employed on large distributed power systems. To show the merits of the proposed approach, it is applied to a dc MG that feeds one constant power load. Results show the simplicity of designing the controller and better robustness against the network's delays compared to the state-of-the-art methods. Additionally, hardware-in-the-loop simulations are presented to prove the practical applicability of the proposed controller.",
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Networked Fuzzy Predictive Control of Power Buffers for Dynamic Stabilization of DC Microgrids. / Vafamand, Navid; Khooban, Mohammad Hassan; Dragicevic, Tomislav; Blaabjerg, Frede.

In: I E E E Transactions on Industrial Electronics, Vol. 66, No. 2, 8336888, 02.2019, p. 1356 - 1362.

Research output: Contribution to journalLetterResearchpeer-review

TY - JOUR

T1 - Networked Fuzzy Predictive Control of Power Buffers for Dynamic Stabilization of DC Microgrids

AU - Vafamand, Navid

AU - Khooban, Mohammad Hassan

AU - Dragicevic, Tomislav

AU - Blaabjerg, Frede

PY - 2019/2

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N2 - This letter investigates the fuzzy model predictive control synthesis of networked controlled power buffer for dynamic stabilization of a dc microgrid (MG). The proposed is based on Takagi-Sugeno fuzzy model and model predictive scheme to mitigate the network-induced delays from the sensor-to-controller and controller-to-actuator links. By employing the so-called time-stamp technique and network delay compensator (NDC), the delays are computed and compensated, which improves the effectiveness and robustness of the proposed controller. Due to the usage of two NDCs, the presented approach is robust against the network delays and results in small computational burden. Therefore, it can widely be employed on large distributed power systems. To show the merits of the proposed approach, it is applied to a dc MG that feeds one constant power load. Results show the simplicity of designing the controller and better robustness against the network's delays compared to the state-of-the-art methods. Additionally, hardware-in-the-loop simulations are presented to prove the practical applicability of the proposed controller.

AB - This letter investigates the fuzzy model predictive control synthesis of networked controlled power buffer for dynamic stabilization of a dc microgrid (MG). The proposed is based on Takagi-Sugeno fuzzy model and model predictive scheme to mitigate the network-induced delays from the sensor-to-controller and controller-to-actuator links. By employing the so-called time-stamp technique and network delay compensator (NDC), the delays are computed and compensated, which improves the effectiveness and robustness of the proposed controller. Due to the usage of two NDCs, the presented approach is robust against the network delays and results in small computational burden. Therefore, it can widely be employed on large distributed power systems. To show the merits of the proposed approach, it is applied to a dc MG that feeds one constant power load. Results show the simplicity of designing the controller and better robustness against the network's delays compared to the state-of-the-art methods. Additionally, hardware-in-the-loop simulations are presented to prove the practical applicability of the proposed controller.

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