electronics
Article
Optimal Tuning of Fractional Order Controllers for Dual
Active Bridge-Based DC Microgrid Including Voltage
Stability Assessment
Mohamed Azab
1,2,
* and Alexandre Serrano-Fontova
3
Citation: Azab, M.; Serrano-Fontova,
A. Optimal Tuning of Fractional
Order Controllers for Dual Active
Bridge-Based DC Microgrid
Including Voltage Stability
Assessment. Electronics 2021, 10, 1109.
https://doi.org/10.3390/
electronics10091109
Academic Editors: Mehdi Narimani
and Apparao Dekka
Received: 19 March 2021
Accepted: 1 May 2021
Published: 8 May 2021
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1
Electrical Engineering Technology Department, Faculty of Engineering, Benha University, Benha 13512, Egypt
2
Electrical Engineering Technology Department, Yanbu Industrial College, Yanbu 30436, Saudi Arabia
3
Department of Electrical Engineering, Technical University of Catalunya (UPC), 08028 Barcelona, Spain;
alexandre.serrano@upc.edu
* Correspondence: mohamed.ahmed.azab@ieee.org
Abstract: In this article, three evolutionary search algorithms: particle swarm optimization (PSO),
simulated annealing (SA) and genetic algorithms (GA), have been employed to determine the optimal
parameter values of the fractional-order (FO)-PI controllers implemented in the dual active bridge-
based (DAB) DC microgrid. The optimum strategy to obtain the parameters of these FO-PI controllers
is still a major challenge for many power systems applications. The FO-PI controllers implemented
in the DAB are used to control the DC link voltage to the desired value and limit the current flowing
through the converter. Accordingly, the investigated control system has six parameters to be tuned
simultaneously; K
p1
,K
i1
, λ
1
for FO-PI voltage controller and K
p2
,K
i2
, λ
2
for FO-PI current controller.
Crucially, this tuning optimization process has been developed to enhance the voltage stability of
a DC microgrid. By observing the frequency-domain analysis of the closed-loop and the results of
the subsequent time-domain simulations, it has been demonstrated that the evolutionary algorithms
have provided optimal controller gains, which ensures the voltage stability of the DC microgrid.
The main contribution of the article can be considered in the successful application of evolutionary
search algorithms to tune the parameters of FO-based dual loop controllers of a DC microgrid scheme
whose power conditioner is a DAB topology.
Keywords: DAB converter; microgrid; fractional order controller; genetic algorithms; simulated
annealing; particle swarm optimization; voltage stability
1. Introduction
The dual active bridge (DAB) converter is considered as one of the most critical
emerging topologies that have been successfully used in many electrical power applications
such as DC microgrids [1,2]. The DAB offers key advantages such as a minimum size of
passive filter components and high-power density when compared with other bidirectional
DC-DC converters [3]. Therefore, DAB converter has gained popularity during the last
decade in applications such as electric vehicles (EVs), energy management systems or DC
microgrids with energy storage systems (ESS) [4–8].
A general average model of a DAB has been proposed in [2], whereas a simple but
reliable model has been proposed in [7]. In Reference [7], the DAB converter average
and small-signal models have been validated through both simulations and experimental
tests for the four different control modes. The DABs have also been the object of study
in [9–20]. Even though several control strategies have been explored for the DAB, the most
common among practitioners is the simple phase shift modulation technique [17,18] based
on conventional PI controllers [20,21]. Besides, the variable structure controllers have been
employed to control the DAB’s operation, as can be seen in [22].
Given the proliferation of the DC and mixed AC/DC microgrids, some research
has been carried out to evaluate the capabilities of some power electronic converters for
Electronics 2021, 10, 1109. https://doi.org/10.3390/electronics10091109 https://www.mdpi.com/journal/electronics