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 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.
Year
DOI
Venue
2019
10.1109/JSYST.2018.2880135
IEEE SYSTEMS JOURNAL
Keywords
Field
DocType
DC microgrid (MG), model predictive controller (MPC), non-ideal constant power load (CPL), nonlinear power observer, Takagi-Sugeno (TS) fuzzy model
Transient response,Control theory,Nonlinear system,Computer science,Control theory,Model predictive control,Fuzzy logic,Real-time computing,Power (physics),Observer (quantum physics),Microgrid
Journal
Volume
Issue
ISSN
13
3
1932-8184
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Navid Vafamand131.73
Shirin Yousefizadeh231.39
Mohammad Hassan Khooban314230.21
Jan Dimon Bendtsen44622.56
Tomislav Dragicevic514325.60