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.

scholarly journals Artificial Neural Network and Kalman Filter for Estimation and Control in Standalone Induction Generator Wind Energy DC Microgrid

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1743 ◽  
Author(s):  
Aman A. Tanvir ◽  
Adel Merabet
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Kalman Filter ◽  
Wind Energy ◽  
Power Management ◽  
Induction Generator ◽  
Rotor Speed ◽  
Dc Microgrid ◽  
Control Scheme ◽  
Rotor Flux

This paper presents an improved estimation strategy for the rotor flux, the rotor speed and the frequency required in the control scheme of a standalone wind energy conversion system based on self-excited three-phase squirrel-cage induction generator with battery storage. At the generator side control, the rotor flux is estimated using an adaptive Kalman filter, and the rotor speed is estimated based on an artificial neural network. This estimation technique enhances the robustness against parametric variations and uncertainties due to the adaptation mechanisms. A vector control scheme is used at the load side converter for controlling the load voltage with respect to amplitude and frequency. The frequency is estimated by a Kalman filter method. The estimation schemes require only voltage and current measurements. A power management system is developed to operate the battery storage in the DC-microgrid based on the wind generation. The control strategy operates under variable wind speed and variable load. The control, estimation and power management schemes are built in the MATLAB/Simulink and RT-LAB platforms and experimentally validated using the OPAL-RT real-time digital controller and a DC-microgrid experimental setup.

scholarly journals A Fuzzy Adaptive Nonlinear Control for an Asynchronous Machine

2019 ◽  
Vol 12 (1) ◽  
pp. 17-22
Author(s):  
Moulay Fatima ◽  
Habbatti Assia ◽  
Hamdaoui Habib
Keyword(s):  
Adaptive Control ◽  
Nonlinear Control ◽  
Control Method ◽  
Dynamic Performance ◽  
General Concept ◽  
Nonlinear Adaptive Control ◽  
Asynchronous Machine ◽  
Linearization Technique ◽  
Control Scheme ◽  
Adaptive Fuzzy Logic

Abstract This paper presents the general concept of the nonlinear control of the asynchronous machine. The decoupling between the flux and the speed is realized by the input-output linearization technique. In this work, a nonlinear adaptive control method has been applied to the asynchronous machine and we give some initial results on the adaptive fuzzy logic control of nonlinear systems, linearized by state feedback. The adaptations of the parameters are used as a technique for robustifying the exact cancellation of the nonlinear terms, which is called for the linearization technique. The performance of the proposed nonlinear adaptive control scheme is demonstrated by simulation results. These results show that the proposed method achieves the desired dynamic performance.

scholarly journals Adaptive Nonlinear Control of A Synchronous Generator

2018 ◽  
Vol 11 (2) ◽  
pp. 39-43
Author(s):  
Moulay Fatima ◽  
Habbatti Assia ◽  
Hamdaoui Habib
Keyword(s):  
Nonlinear Control ◽  
State Feedback ◽  
Control Method ◽  
Dynamic Performance ◽  
Synchronous Generator ◽  
Adaptive Nonlinear Control ◽  
Control Scheme ◽  
High Dynamic ◽  
Nonlinear Control Method ◽  
Initial Results

Abstract In this work, an adaptive nonlinear control method, was applied to a synchronous generator and we give some initial results on the adaptive control of nonlinear systems which are exactly input-output linearizable by state feedback. Parameters adaptation is used as a technique to robustify the exact cancelation of nonlinear terms, which is called for the linearization technique. The performance of the proposed adaptive nonlinear control scheme is demonstrated by simulation results. These results show that the proposed method achieves the same high dynamic performance as vector control.

scholarly journals Leakage Current Mitigation of Photovoltaic System Using Optimized Predictive Control for Improved Efficiency

2022 ◽  
Vol 12 (2) ◽  
pp. 643
Author(s):  
Abhinandan Routray ◽  
Sung-Ho Hur
Keyword(s):  
Leakage Current ◽  
Predictive Control ◽  
Dynamic Performance ◽  
Photovoltaic System ◽  
Pv System ◽  
Pv Systems ◽  
Common Mode Voltage ◽  
Control Scheme ◽  
Pv Modules ◽  
Experimental Laboratory

This paper proposes an optimized predictive control strategy to mitigate the potential leakage current of grid-tied photovoltaic (PV) systems to improve the lifespans of PV modules. In this work, the PV system is controlled with an optimized predictive control algorithm that selects the switching voltage vectors intelligently to reduce the number of computational burdens. Thus, it improves the dynamic performance of the overall system. This is achieved through a specific cost function that minimizes the change in common-mode voltage generated by the parasitic capacitance of PV modules. The proposed controller does not require any additional modulation schemes. Normalization techniques and weighting factors are incorporated to obtain improved results. The steady state and dynamic performance of the proposed control scheme is validated in this work through simulations and a 600 W experimental laboratory prototype.

scholarly journals A Novel Bidirectional DC-DC Converter for Dynamic Performance Enhancement of Hybrid AC/DC Microgrid

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1653 ◽  
Author(s):  
Morteza Daviran Keshavarzi ◽  
Mohd Hasan Ali
Keyword(s):  
Power Flow ◽  
Performance Enhancement ◽  
Dynamic Performance ◽  
Poor Performance ◽  
Dc Microgrid ◽  
Voltage Level ◽  
Grid Voltage ◽  
Step Down ◽  
Battery Energy ◽  
Bidirectional Power Flow

The conventional bidirectional DC-DC converter (BDC), which employs a half-bridge configuration, has some major disadvantages, including a controller designed for one direction with poor performance in the other direction, a bidirectional operation which does not have symmetrical voltage gain resulting in asymmetrical operation, and step-up and step-down switches that are simultaneously modulated, thereby increasing switching losses. To overcome these drawbacks, this paper proposes a new, nonisolated, DC-DC converter for the bidirectional power flow of battery energy storage applications in DC and hybrid microgrids (HMGs). The proposed converter uses two back-to-back Boost converters with two battery voltage levels, which eliminates step-down operation to obtain symmetric gains and dynamics in both directions. In discharge mode, two battery sections are in parallel connection at a voltage level lower than the grid voltage. In charge mode, two battery sections are in series connection at a voltage level higher than the grid voltage. Simulations demonstrate the efficacy of the proposed converter in the MATALB\Simulink environment. The results show that the proposed converter has promising performance compared to that of the conventional type. Moreover, the novel converter adds no complexity to the control system and does not incur considerable power loss or capital cost.

Study on Delay Synchronizing Rectification Control Method of Bi-Directional DC-DC Converter for Photovoltaic System

2014 ◽  
Vol 513-517 ◽  
pp. 3434-3437
Author(s):  
Chun Long Zhang ◽  
Bin Wu
Keyword(s):  
Theoretical Analysis ◽  
Power Management ◽  
Control Method ◽  
Photovoltaic System ◽  
Power Device ◽  
Pv System ◽  
Soft Start ◽  
Efficient Control ◽  
Charge Discharge

A novel photovoltaic (PV) system is proposed, which exhibits the advantages of better protection and more efficient control on charge/discharge of the battery. Furthermore, it can realize power management of the system. The key point of power management is how to control the bi-directional converter effectively. Considering traditional soft start strategy would be ineffective for bi-directional converter in the double sources application for the possibility of damaging the power device, a new soft start control method named delay synchronizing rectification control method is proposed. A 500W prototype converter is built to verify the theoretical analysis and the control method.

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