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 time-varying uncertain CPLs. A nonlinear disturbance observer is developed to estimate the instantaneous power of the CPLs. The estimated CPLs powers are then employed in a Takagi–Sugeno fuzzy-based model predictive control strategy, aiming to adaptively modify the injecting current of the energy storage system. The proposed approach is applied to a dc MG testbed that feeds one CPL. Experimental results show that the proposed adaptive controller is able to increase the stability margin and improve the transient response of the dc MG.
Original language | English |
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Article number | 8552394 |
Journal | I E E E Systems Journal |
Volume | 13 |
Issue number | 3 |
Pages (from-to) | 3203-3210 |
Number of pages | 8 |
ISSN | 1932-8184 |
DOIs | |
Publication status | Published - Sept 2019 |
Keywords
- DC microgrid (MG)
- Takagi–Sugeno (TS) fuzzy model
- model predictive controller (MPC)
- non-ideal constant power load (CPL)
- nonlinear power observer