Flatness based control of a dual active bridge converter for DC microgrid

2013 ◽  
Author(s):  
Matheepot Phattanasak ◽  
Wattana Kaewmanee ◽  
Phatiphat Thounthong ◽  
Panarit Sethakul ◽  
Jean-Philippe Martin ◽  
...  
Keyword(s):  
Dc Microgrid ◽  
Dual Active Bridge

scholarly journals Bidirectional Power Sharing for DC Microgrid Enabled by Dual Active Bridge DC-DC Converter

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 404
Author(s):  
Sara J. Ríos ◽  
Daniel J. Pagano ◽  
Kevin E. Lucas
Keyword(s):  
Power Management ◽  
Distribution Systems ◽  
Control Method ◽  
Dynamic Performance ◽  
Management Control ◽  
Photovoltaic System ◽  
Dc Microgrid ◽  
Dual Active Bridge ◽  
Control Scheme ◽  
Bidirectional Power Flow

Currently, high-performance power conversion requirements are of increasing interest in microgrid applications. In fact, isolated bidirectional dc-dc converters are widely used in modern dc distribution systems. The dual active bridge (DAB) dc-dc converter is identified as one of the most promising converter topology for the mentioned applications, due to its benefits of high power density, electrical isolation, bidirectional power flow, zero-voltage switching, and symmetrical structure. This study presents a power management control scheme in order to ensure the power balance of a dc microgrid in stand-alone operation, where the renewable energy source (RES) and the battery energy storage (BES) unit are interfaced by DAB converters. The power management algorithm, as introduced in this work, selects the proper operation of the RES system and BES system, based on load/generation power and state-of-charge of the battery conditions. Moreover, a nonlinear robust control strategy is proposed when the DAB converters are in voltage-mode-control in order to enhance the dynamic performance and robustness of the common dc-bus voltage, in addition to overcoming the instability problems that are caused by constant power loads and the dynamic interactions of power electronic converters. The simulation platform is developed in MATLAB/Simulink, where a photovoltaic system and battery system are selected as the typical RES and BES, respectively. Assessments on the performance of the proposed control scheme are conducted. Comparisons with the other control method are also provided.

Predictive Control Based DC Microgrid Stabilization With the Dual Active Bridge Converter

2020 ◽  
Vol 67 (10) ◽  
pp. 8944-8956 ◽  
Author(s):  
Linglin Chen ◽  
Fei Gao ◽  
Ke Shen ◽  
Zhenyu Wang ◽  
Luca Tarisciotti ◽  
...  
Keyword(s):  
Predictive Control ◽  
Dc Microgrid ◽  
Dual Active Bridge

scholarly journals Optimal Tuning of Fractional Order Controllers for Dual Active Bridge-Based DC Microgrid Including Voltage Stability Assessment

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1109
Author(s):  
Mohamed Azab ◽  
Alexandre Serrano-Fontova
Keyword(s):  
Power Systems ◽  
Fractional Order ◽  
Voltage Stability ◽  
Optimal Parameter ◽  
Frequency Domain Analysis ◽  
Search Algorithms ◽  
Evolutionary Search ◽  
Dc Microgrid ◽  
Dual Active Bridge ◽  
Pi Controllers

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; Kp1, Ki1, λ1 for FO-PI voltage controller and Kp2, Ki2, λ2 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.

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