Adaptive TS Fuzzy-based MPC for DC Microgrids with Dynamic CPLs: Nonlinear Power Observer Approach

Navid Vafamand, Shirin Yousefizadeh, Mohammad Hassan Khooban, Jan Dimon Bendtsen, Tomislav Dragicevic

Research output: Contribution to journalJournal articleResearchpeer-review

1 Citation (Scopus)
220 Downloads (Pure)

Abstract

The performance of a DC microgrid (MG)
might degrade because of the dynamics of constant power
loads (CPLs). In this paper, a novel adaptive controller is
proposed to mitigate the destructive effect of the timevarying uncertain CPLs. To this aim, a nonlinear
disturbance observer (NDOB) is developed to estimate the
instantaneous power of the CPLs. The estimated CPLs
powers are then employed in a Takagi-Sugeno (TS) fuzzybased model predictive control (MPC) to adaptively modify
the injecting current of the energy storage system (ESS).
The proposed approach is applied to a DC MG testbed that
feeds one CPL. Experimental results show the effectiveness
of the proposed adaptive controller to increase the stability
margin and improve the transient response of the DC MG.
Original languageEnglish
JournalI E E E Systems Journal
Volume66
Issue number7
Number of pages8
ISSN1932-8184
DOIs
Publication statusE-pub ahead of print - 2019

Fingerprint

Model predictive control
Controllers
Testbeds
Transient analysis
Energy storage

Keywords

  • DC microgrid (MG)
  • Takagi–Sugeno (TS) fuzzy model
  • model predictive controller (MPC)
  • non-ideal constant power load (CPL)
  • nonlinear power observer

Cite this

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title = "Adaptive TS Fuzzy-based MPC for DC Microgrids with Dynamic CPLs: Nonlinear Power Observer Approach",
abstract = "The performance of a DC microgrid (MG)might degrade because of the dynamics of constant powerloads (CPLs). In this paper, a novel adaptive controller isproposed to mitigate the destructive effect of the timevarying uncertain CPLs. To this aim, a nonlineardisturbance observer (NDOB) is developed to estimate theinstantaneous power of the CPLs. The estimated CPLspowers are then employed in a Takagi-Sugeno (TS) fuzzybased model predictive control (MPC) to adaptively modifythe injecting current of the energy storage system (ESS).The proposed approach is applied to a DC MG testbed thatfeeds one CPL. Experimental results show the effectivenessof the proposed adaptive controller to increase the stabilitymargin and improve the transient response of the DC MG.",
keywords = "DC microgrid (MG), Takagi–Sugeno (TS) fuzzy model, model predictive controller (MPC), non-ideal constant power load (CPL), nonlinear power observer",
author = "Navid Vafamand and Shirin Yousefizadeh and Khooban, {Mohammad Hassan} and Bendtsen, {Jan Dimon} and Tomislav Dragicevic",
year = "2019",
doi = "10.1109/JSYST.2018.2880135",
language = "English",
volume = "66",
journal = "I E E E Systems Journal",
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publisher = "IEEE",
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Adaptive TS Fuzzy-based MPC for DC Microgrids with Dynamic CPLs : Nonlinear Power Observer Approach. / Vafamand, Navid; Yousefizadeh, Shirin; Khooban, Mohammad Hassan; Bendtsen, Jan Dimon; Dragicevic, Tomislav.

In: I E E E Systems Journal, Vol. 66, No. 7, 2019.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Adaptive TS Fuzzy-based MPC for DC Microgrids with Dynamic CPLs

T2 - Nonlinear Power Observer Approach

AU - Vafamand, Navid

AU - Yousefizadeh, Shirin

AU - Khooban, Mohammad Hassan

AU - Bendtsen, Jan Dimon

AU - Dragicevic, Tomislav

PY - 2019

Y1 - 2019

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AB - The performance of a DC microgrid (MG)might degrade because of the dynamics of constant powerloads (CPLs). In this paper, a novel adaptive controller isproposed to mitigate the destructive effect of the timevarying uncertain CPLs. To this aim, a nonlineardisturbance observer (NDOB) is developed to estimate theinstantaneous power of the CPLs. The estimated CPLspowers are then employed in a Takagi-Sugeno (TS) fuzzybased model predictive control (MPC) to adaptively modifythe injecting current of the energy storage system (ESS).The proposed approach is applied to a DC MG testbed thatfeeds one CPL. Experimental results show the effectivenessof the proposed adaptive controller to increase the stabilitymargin and improve the transient response of the DC MG.

KW - DC microgrid (MG)

KW - Takagi–Sugeno (TS) fuzzy model

KW - model predictive controller (MPC)

KW - non-ideal constant power load (CPL)

KW - nonlinear power observer

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