Robust Stabilization of a Microgrid with Communication Delay and Uncertainties

In this paper, the robust stabilization for the networked microgrid system is presented. A microgrid implements master-slave control architecture where the communication channel is utilized to exchange the reference current signals. With this structure, a time delay exists in the reference control s...

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Bibliographic Details
Published in:Computation 2023-04, Vol.11 (4), p.75
Main Authors: Khalil, Ashraf, Alfergani, Asma, Shaltami, Farhat M., Asheibi, Ali
Format: Article
Language:English
Subjects:
AC microgrid
Alternative energy sources
Communication
communication delay
Communications networks
Control algorithms
control strategy
Control systems design
Control theory
Controllers
Design
Distributed generation
Distributed generation (Electric power)
Electric potential
Energy resources
GWO
H-infinity control
Lyapunov–Krasovskii
Optimization techniques
Performance indices
Photovoltaic cells
Renewable energy sources
Renewable resources
Robust stabilization
Stability analysis
Stability criteria
Time lag
Turbines
Uncertainty
Voltage
Wind power
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Summary:In this paper, the robust stabilization for the networked microgrid system is presented. A microgrid implements master-slave control architecture where the communication channel is utilized to exchange the reference current signals. With this structure, a time delay exists in the reference control signal which may lead to instability. The analysis of the control strategy is carried out in dq reference frame. The microgrid is constituted by PV and wind energy sources supplying a load through voltage source inverters. The stochastic nature of renewable energy sources introduces uncertainties which can be represented as fluctuations in the voltage and the current. The main contribution of the paper is formulating the controller design of the microgrid with communication delay and uncertainties in the model as H∞ control problem and Lyapunov–Krasovskii functional is utilized to develop stability criterion in bilinear matrix inequality form. Grey wolf optimizer is used to minimize the performance index and derive the stabilizing controller. The microgrid performance is tested through simulation using the time-varying nonlinear model of the microgrid. The results prove that satisfactory current and power-sharing are attained even with the existence of time delays and uncertainties.
ISSN:2079-3197
2079-3197
DOI:10.3390/computation11040075