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Prof. Carlos Restrepo
Universidad de Talca

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Research Keywords & Expertise

0 Digital Control
0 Fuel Cells
0 Renewable energies
0 Power converter
0 DC-DC converter

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DC-DC converter
Digital Control
Fuel Cells
Power converter

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Short Biography

Carlos Restrepo received the Bachelor degree (with honors) and the Master degree in electrical engineering in 2006 and 2007, respectively, from the Universidad Tecnológica de Pereira, Colombia, and the Master degree and the Ph.D. (with honors) degree in electronic engineering from the Universitat Rovira i Virgili de Tarragona, Tarragona, Spain, in 2008 and 2012, respectively. He was a visiting scholar at the Faculty of Electrical Engineering and Computer Science, University of Maribor, Slovenia, in 2011. He is currently a Professor with the Departamento de Ingeniería Eléctrica, Universidad de Talca, Curicó, Chile. His main research interests include modeling and emulator design for fuel cells, design and digital control of switched converters, and energy management of hybrid electric vehicles. He is director of the Laboratory of Applications in Smart Grids (LARI in Spanish) research group.

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Journal article
Published: 25 August 2021 in Sensors
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This work presents a novel dc-dc bidirectional buck–boost converter between a battery pack and the inverter to regulate the dc-bus in an electric vehicle (EV) powertrain. The converter is based on the versatile buck–boost converter, which has shown an excellent performance in different fuel cell systems operating in low-voltage and hard-switching applications. Therefore, extending this converter to higher voltage applications such as the EV is a challenging task reported in this work. A high-efficiency step-up/step-down versatile converter can improve the EV powertrain efficiency for an extended range of electric motor (EM) speeds, comprising urban and highway driving cycles while allowing the operation under motoring and regeneration (regenerative brake) conditions. DC-bus voltage regulation is implemented using a digital two-loop control strategy. The inner feedback loop is based on the discrete-time sliding-mode current control (DSMCC) strategy, and for the outer feedback loop, a proportional-integral (PI) control is employed. Both digital control loops and the necessary transition mode strategy are implemented using a digital signal controller TMS320F28377S. The theoretical analysis has been validated on a 400 V 1.6 kW prototype and tested through simulation and an EV powertrain system testing.

ACS Style

Catalina González-Castaño; Carlos Restrepo; Samir Kouro; Enric Vidal-Idiarte; Javier Calvente. A Bidirectional Versatile Buck–Boost Converter Driver for Electric Vehicle Applications. Sensors 2021, 21, 5712 .

AMA Style

Catalina González-Castaño, Carlos Restrepo, Samir Kouro, Enric Vidal-Idiarte, Javier Calvente. A Bidirectional Versatile Buck–Boost Converter Driver for Electric Vehicle Applications. Sensors. 2021; 21 (17):5712.

Chicago/Turabian Style

Catalina González-Castaño; Carlos Restrepo; Samir Kouro; Enric Vidal-Idiarte; Javier Calvente. 2021. "A Bidirectional Versatile Buck–Boost Converter Driver for Electric Vehicle Applications." Sensors 21, no. 17: 5712.

Journal article
Published: 28 July 2021 in Sensors
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Many electronic power distribution systems have strong needs for highly efficient AC-DC conversion that can be satisfied by using a buck-boost converter at the core of the power factor correction (PFC) stage. These converters can regulate the input voltage in a wide range with reduced efforts compared to other solutions. As a result, buck-boost converters could potentially improve the efficiency in applications requiring DC voltages lower than the peak grid voltage. This paper compares SEPIC, noninverting, and versatile buck-boost converters as PFC single-phase rectifiers. The converters are designed for an output voltage of 200 V and an rms input voltage of 220 V at 3.2 kW. The PFC uses an inner discrete-time predictive current control loop with an output voltage regulator based on a sensorless strategy. A PLECS thermal simulation is performed to obtain the power conversion efficiency results for the buck-boost converters considered. Thermal simulations show that the versatile buck-boost (VBB) converter, currently unexplored for this application, can provide higher power conversion efficiency than SEPIC and non-inverting buck-boost converters. Finally, a hardware-in-the-loop (HIL) real-time simulation for the VBB converter is performed using a PLECS RT Box 1 device. At the same time, the proposed controller is built and then flashed to a low-cost digital signal controller (DSC), which corresponds to the Texas Instruments LAUNCHXL-F28069M evaluation board. The HIL real-time results verify the correctness of the theoretical analysis and the effectiveness of the proposed architecture to operate with high power conversion efficiency and to regulate the DC output voltage without sensing it while the sinusoidal input current is perfectly in-phase with the grid voltage.

ACS Style

Catalina González-Castaño; Carlos Restrepo; Fredy Sanz; Andrii Chub; Roberto Giral. DC Voltage Sensorless Predictive Control of a High-Efficiency PFC Single-Phase Rectifier Based on the Versatile Buck-Boost Converter. Sensors 2021, 21, 5107 .

AMA Style

Catalina González-Castaño, Carlos Restrepo, Fredy Sanz, Andrii Chub, Roberto Giral. DC Voltage Sensorless Predictive Control of a High-Efficiency PFC Single-Phase Rectifier Based on the Versatile Buck-Boost Converter. Sensors. 2021; 21 (15):5107.

Chicago/Turabian Style

Catalina González-Castaño; Carlos Restrepo; Fredy Sanz; Andrii Chub; Roberto Giral. 2021. "DC Voltage Sensorless Predictive Control of a High-Efficiency PFC Single-Phase Rectifier Based on the Versatile Buck-Boost Converter." Sensors 21, no. 15: 5107.

Journal article
Published: 17 March 2021 in IEEE Access
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Energy structures from non-conventional energy source has become highly demanded nowadays. In this way, the maximum power extraction from photovoltaic (PV) systems has attracted the attention, therefore an optimization technique is necessary to improve the performance of solar systems. This article proposes the use of ABC (artificial bee colony) algorithm for the maximum power point tracking (MPPT) of a PV system using a DC-DC converter. The procedure of the ABC MPPT algorithm is using data values from PV module, the P-V characteristic is identified and the optimal voltage is selected. Then, the MPPT strategy is applied to obtain the voltage reference for the outer PI control loop, which in turn provides the current reference to the predictive digital current programmed control. A real-time and high-speed simulator (PLECS RT Box 1) and a digital signal controller (DSC) are used to implement the hardware-in-the-loop system to obtain the results. The general system does not have a high computational cost and can be implemented in a commercial low-cost DSC (TI 28069M). The proposed MPPT strategy is compared to the conventional perturb and observe method, results show the proposed method archives a much superior performance.

ACS Style

Catalina Gonzalez-Castano; Carlos Restrepo; Samir Kouro; Jose Rodriguez. MPPT Algorithm Based on Artificial Bee Colony for PV System. IEEE Access 2021, 9, 43121 -43133.

AMA Style

Catalina Gonzalez-Castano, Carlos Restrepo, Samir Kouro, Jose Rodriguez. MPPT Algorithm Based on Artificial Bee Colony for PV System. IEEE Access. 2021; 9 ():43121-43133.

Chicago/Turabian Style

Catalina Gonzalez-Castano; Carlos Restrepo; Samir Kouro; Jose Rodriguez. 2021. "MPPT Algorithm Based on Artificial Bee Colony for PV System." IEEE Access 9, no. : 43121-43133.

Journal article
Published: 10 March 2021 in Sustainability
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This paper proposes a new method for maximum power point tracking (MPPT) of the photovoltaic (PV) system while using a DC-DC boost converter. The conventional perturb and observe (P&O) method has a fast tracking response, but it presents oscillation around the maximum power point (MPP) in steady state. Therefore, to satisfy transient and steady-state responses, this paper presents a MPPT method using support vector machines (SVMs). The use of SVM will help to improve the tracking speed of maximum power point of the PV system without oscillations near MPP. A boost converter is used to implement the MPPT method, where the input voltage of the DC-DC converter is regulated using a double loop where the inner loop is a current control that is based on passivity. The MPPT structure is validated by hardware in the loop, a real time and high-speed simulator (PLECS RT Box 1), and a digital signal controller (DSC) are used to model the PV system and implement the control strategies, respectively. The proposed strategy presents low complexity and it is implemented in a commercial low-cost DSC (TI 28069M). The performance of the MPPT proposed is presented under challenging experimental profiles with solar irradiance and temperature variations across the panel. In addition, the performance of the proposed method is compared with the P&O method, which is traditionally most often used in MPPT under demanding tests, in order to demonstrate the superiority of the strategy presented.

ACS Style

Catalina González-Castaño; James Marulanda; Carlos Restrepo; Samir Kouro; Alfonso Alzate; Jose Rodriguez. Hardware-in-the-Loop to Test an MPPT Technique of Solar Photovoltaic System: A Support Vector Machine Approach. Sustainability 2021, 13, 3000 .

AMA Style

Catalina González-Castaño, James Marulanda, Carlos Restrepo, Samir Kouro, Alfonso Alzate, Jose Rodriguez. Hardware-in-the-Loop to Test an MPPT Technique of Solar Photovoltaic System: A Support Vector Machine Approach. Sustainability. 2021; 13 (6):3000.

Chicago/Turabian Style

Catalina González-Castaño; James Marulanda; Carlos Restrepo; Samir Kouro; Alfonso Alzate; Jose Rodriguez. 2021. "Hardware-in-the-Loop to Test an MPPT Technique of Solar Photovoltaic System: A Support Vector Machine Approach." Sustainability 13, no. 6: 3000.

Journal article
Published: 23 February 2021 in IEEE Access
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A Maximum Power Point Tracking (MPPT) algorithm is proposed based on the assumption that a simplified three-parameter photodiode-based model can provide an excellent approximation of a PV module $i-v $ curve around its maximum power point (MPP). Procedures to obtain the MPP coordinates and the three parameters of the approximated $i-v $ curve from experimental online measurements, analytical and Newton-Raphson iterative calculations are thoroughly described. Initializing the model as well as optimizing it to operate faster by identifying only subsets of the model parameters provides excellent MPPT efficiency in both static and dynamical MPPT situations. The performance of the proposed algorithm has been verified in comparison with other well-known MPPT methods using the software-in-the-loop approach. Next, its performance has been evaluated by using the MATLAB-based hardware-in-the loop experimental setup that provides the required reproducibility of the different synthetic and real irradiance and temperature profiles considered.

ACS Style

Carlos Restrepo; Catalina Gonzalez-Castano; Javier Munoz; Andrii Chub; Enric Vidal-Idiarte; Roberto Giral. An MPPT Algorithm for PV Systems Based on a Simplified Photo-Diode Model. IEEE Access 2021, 9, 33189 -33202.

AMA Style

Carlos Restrepo, Catalina Gonzalez-Castano, Javier Munoz, Andrii Chub, Enric Vidal-Idiarte, Roberto Giral. An MPPT Algorithm for PV Systems Based on a Simplified Photo-Diode Model. IEEE Access. 2021; 9 ():33189-33202.

Chicago/Turabian Style

Carlos Restrepo; Catalina Gonzalez-Castano; Javier Munoz; Andrii Chub; Enric Vidal-Idiarte; Roberto Giral. 2021. "An MPPT Algorithm for PV Systems Based on a Simplified Photo-Diode Model." IEEE Access 9, no. : 33189-33202.

Journal article
Published: 17 January 2021 in Electronics
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This paper presents an optimal design of a surface-based polynomial fitting for tracking the maximum power point (MPPT) of a photovoltaic (PV) system, here named surface-based polynomial fitting (MPPT-SPF). The procedure of the proposed MPPT-SPF strategy is based on a polynomial model to characterize data from the PV module with a global fit. The advantage of using polynomials is that they provide a good fit within a predefined data range even though they can diverge greatly from that range. The MPPT-SPF strategy is integrated with a DC-DC boost converter to verify its performance and its interaction with different control loops. Therefore, the MPPT strategy is applied to the reference outer PI control loop, which in turn provides the current reference to the inner current loop based on a discrete-time sliding current control. A real-time and high-speed simulator (PLECS RT Box 1) and a digital signal controller (DSC) are used to implement the hardware-in-the-loop system to obtain the results. The proposed strategy does not have a high computational cost and can be implemented in a commercial low-cost DSC (TI 28069M). The proposed MPPT strategy is compared with a conventional perturb and observe method to prove its effectiveness under demanding tests.

ACS Style

Catalina González-Castaño; Leandro L. Lorente-Leyva; Javier Muñoz; Carlos Restrepo; Diego H. Peluffo-Ordóñez. An MPPT Strategy Based on a Surface-Based Polynomial Fitting for Solar Photovoltaic Systems Using Real-Time Hardware. Electronics 2021, 10, 206 .

AMA Style

Catalina González-Castaño, Leandro L. Lorente-Leyva, Javier Muñoz, Carlos Restrepo, Diego H. Peluffo-Ordóñez. An MPPT Strategy Based on a Surface-Based Polynomial Fitting for Solar Photovoltaic Systems Using Real-Time Hardware. Electronics. 2021; 10 (2):206.

Chicago/Turabian Style

Catalina González-Castaño; Leandro L. Lorente-Leyva; Javier Muñoz; Carlos Restrepo; Diego H. Peluffo-Ordóñez. 2021. "An MPPT Strategy Based on a Surface-Based Polynomial Fitting for Solar Photovoltaic Systems Using Real-Time Hardware." Electronics 10, no. 2: 206.

Review
Published: 18 December 2020 in Sustainability
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Complex control structures are required for the operation of photovoltaic electrical energy systems. In this paper, a general review of the controllers used for photovoltaic systems is presented. This review is based on the most recent papers presented in the literature. The control architectures considered are complex hybrid systems that combine classical and modern techniques, such as artificial intelligence and statistical models. The main contribution of this paper is the synthesis of a generalized control structure and the identification of the latest trends. The main findings are summarized in the development of increasingly robust controllers for operation with improved efficiency, power quality, stability, safety, and economics.

ACS Style

Duberney Murillo-Yarce; José Alarcón-Alarcón; Marco Rivera; Carlos Restrepo; Javier Muñoz; Carlos Baier; Patrick Wheeler. A Review of Control Techniques in Photovoltaic Systems. Sustainability 2020, 12, 10598 .

AMA Style

Duberney Murillo-Yarce, José Alarcón-Alarcón, Marco Rivera, Carlos Restrepo, Javier Muñoz, Carlos Baier, Patrick Wheeler. A Review of Control Techniques in Photovoltaic Systems. Sustainability. 2020; 12 (24):10598.

Chicago/Turabian Style

Duberney Murillo-Yarce; José Alarcón-Alarcón; Marco Rivera; Carlos Restrepo; Javier Muñoz; Carlos Baier; Patrick Wheeler. 2020. "A Review of Control Techniques in Photovoltaic Systems." Sustainability 12, no. 24: 10598.

Journal article
Published: 01 December 2020 in IEEE Journal of Emerging and Selected Topics in Power Electronics
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Coupled-inductor buck-boost dc-dc switching converter has emerged as an alternative to manage power in several hybrid system architectures. This is due to features such as a noninverting voltage step up and step down characteristic, high efficiency, wide-bandwidth, and the possibility to regulate its input or output currents as has been reported in previous works. All of them are based on a small-signal linearized model around an operating point. In this paper, a model predictive control strategy is proposed in order to increase the operation point domain. The proposal consists in the use of the mathematical model of the system in discrete time to obtain the optimal switching state to be applied in the converter, based on a cost function optimization which simultaneously improves the current tracking and reduces the converter power losses. Experimental results validate the proposal demonstrating that this is a good alternative for the control of this kind of power converters.

ACS Style

Carlos Restrepo; Germain Garcia; Freddy Flores-Bahamonde; Duberney Murillo-Yarce; Johan I. Guzman; Marco Rivera. Current Control of the Coupled-Inductor Buck–Boost DC–DC Switching Converter Using a Model Predictive Control Approach. IEEE Journal of Emerging and Selected Topics in Power Electronics 2020, 8, 3348 -3360.

AMA Style

Carlos Restrepo, Germain Garcia, Freddy Flores-Bahamonde, Duberney Murillo-Yarce, Johan I. Guzman, Marco Rivera. Current Control of the Coupled-Inductor Buck–Boost DC–DC Switching Converter Using a Model Predictive Control Approach. IEEE Journal of Emerging and Selected Topics in Power Electronics. 2020; 8 (4):3348-3360.

Chicago/Turabian Style

Carlos Restrepo; Germain Garcia; Freddy Flores-Bahamonde; Duberney Murillo-Yarce; Johan I. Guzman; Marco Rivera. 2020. "Current Control of the Coupled-Inductor Buck–Boost DC–DC Switching Converter Using a Model Predictive Control Approach." IEEE Journal of Emerging and Selected Topics in Power Electronics 8, no. 4: 3348-3360.

Journal article
Published: 01 December 2020 in Energies
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The single-phase matrix converter is an AC-AC power topology which consists of six bidirectional switches and it is considered the key unit in cascade or multilevel configurations. In this paper, a comparison between two control techniques is presented, one based on a proportional-integral-derivative control module with a pulse width modulator, and the other known as finite-state model predictive control. Simulation and experimental results are presented and discussed to demonstrate the feasibility and performance of both techniques.

ACS Style

Marco Rivera; Sebastián Rojas; Carlos Restrepo; Javier Muñoz; Carlos Baier; Patrick Wheeler. Control Techniques for a Single-Phase Matrix Converter. Energies 2020, 13, 6337 .

AMA Style

Marco Rivera, Sebastián Rojas, Carlos Restrepo, Javier Muñoz, Carlos Baier, Patrick Wheeler. Control Techniques for a Single-Phase Matrix Converter. Energies. 2020; 13 (23):6337.

Chicago/Turabian Style

Marco Rivera; Sebastián Rojas; Carlos Restrepo; Javier Muñoz; Carlos Baier; Patrick Wheeler. 2020. "Control Techniques for a Single-Phase Matrix Converter." Energies 13, no. 23: 6337.

Journal article
Published: 15 October 2020 in Applied Sciences
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This paper analyzes the presence of undesired quantization-induced perturbations (QIP) in a dc-dc buck-boost converter using a two-loop digital current control. This work introduces design conditions regarding control laws gains and signal quantization to avoid the quantization effects due to the addition of the outer voltage loop in a digital current controlled converter. The two-loop controller is composed of a multisampled average current control (MACC) in the inner current-programmed loop and a proportional-integrator compensator at the external loop. QIP conditions have been evaluated through simulations and experiments using a digitally controlled pulse width modulation (DPWM) buck-boost converter. A 400 V 1.6 kW proof-of-concept converter has been used to illustrate the presence of QIP and verify the design conditions. The controller is programmed in a digital signal controller (DSC) TMS320F28377S with a DPWM with 8.96-bit equivalent resolution, a 12-bit ADC for current sampling, and a 12-bit ADC for voltage sampling or a 16-bit ADC for voltage error sampling.

ACS Style

Catalina González-Castaño; Carlos Restrepo; Roberto Giral; Enric Vidal-Idiarte; Javier Calvente. ADC Quantization Effects in Two-Loop Digital Current Controlled DC-DC Power Converters: Analysis and Design Guidelines. Applied Sciences 2020, 10, 7179 .

AMA Style

Catalina González-Castaño, Carlos Restrepo, Roberto Giral, Enric Vidal-Idiarte, Javier Calvente. ADC Quantization Effects in Two-Loop Digital Current Controlled DC-DC Power Converters: Analysis and Design Guidelines. Applied Sciences. 2020; 10 (20):7179.

Chicago/Turabian Style

Catalina González-Castaño; Carlos Restrepo; Roberto Giral; Enric Vidal-Idiarte; Javier Calvente. 2020. "ADC Quantization Effects in Two-Loop Digital Current Controlled DC-DC Power Converters: Analysis and Design Guidelines." Applied Sciences 10, no. 20: 7179.

Journal article
Published: 30 July 2019 in Energies
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This paper introduces an approach that applies a digital sampling technique for a sinusoidal pulse width modulation (SPWM) multilevel inverter modulation that reduces the total harmonic contents in the output voltage compared to that of classical regular sampling techniques. This new modulation emulates with a high degree of fidelity a natural sampling pulse width modulation (PWM). The theoretical analysis of this new digital technique compared with natural sampling has been validated by simulations and through experiments with a built prototype that performed five–level inverter modulations with vertically displaced carriers in phase disposition. Both simulation and experimental results generate a SPWM output voltage with higher fidelity than classic regular sampling techniques, allowing a reduction of the filtering demands on the inverter output, which in turn can decrease the converter size and its manufacturing costs. As the presented technique is digital, the resulting modulation is more robust against switching noise, jitter, and other system perturbations and the modulation parameters can be changed easily, even in an automated way. For this reason, the modulation introduced here can be a useful tool to perform spectral analysis for different multilevel modulations and systems.

ACS Style

Mauricio Muñoz-Ramírez; Hugo Valderrama-Blavi; Marco Rivera; Carlos Restrepo. An Approach to Natural Sampling Using a Digital Sampling Technique for SPWM Multilevel Inverter Modulation. Energies 2019, 12, 2925 .

AMA Style

Mauricio Muñoz-Ramírez, Hugo Valderrama-Blavi, Marco Rivera, Carlos Restrepo. An Approach to Natural Sampling Using a Digital Sampling Technique for SPWM Multilevel Inverter Modulation. Energies. 2019; 12 (15):2925.

Chicago/Turabian Style

Mauricio Muñoz-Ramírez; Hugo Valderrama-Blavi; Marco Rivera; Carlos Restrepo. 2019. "An Approach to Natural Sampling Using a Digital Sampling Technique for SPWM Multilevel Inverter Modulation." Energies 12, no. 15: 2925.

Journal article
Published: 17 July 2019 in Energies
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This paper presents the analysis and design of a PWM nonlinear digital control of a buck converter based on input-output linearization. The control employs a discrete-time bilinear model of the power converter for continuous conduction mode operation (CCM) to create an internal current control loop wherein the inductor current error with respect to its reference decreases to zero in geometric progression. This internal loop is as a constant frequency discrete-time sliding mode control loop with a parameter that allows adjusting how fast the error is driven to zero. Subsequently, an outer voltage loop designed by linear techniques provides the reference of the inner current loop to regulate the converter output voltage. The two-loop control offers a fast transient response and a high regulation degree of the output voltage in front of reference changes and disturbances in the input voltage and output load. The experimental results are in good agreement with both theoretical predictions and PSIM simulations.

ACS Style

Enric Vidal-Idiarte; Carlos Restrepo; Abdelali El Aroudi; Javier Calvente; Roberto Giral. Digital Control of a Buck Converter Based on Input-Output Linearization. An Interpretation Using Discrete-Time Sliding Control Theory. Energies 2019, 12, 2738 .

AMA Style

Enric Vidal-Idiarte, Carlos Restrepo, Abdelali El Aroudi, Javier Calvente, Roberto Giral. Digital Control of a Buck Converter Based on Input-Output Linearization. An Interpretation Using Discrete-Time Sliding Control Theory. Energies. 2019; 12 (14):2738.

Chicago/Turabian Style

Enric Vidal-Idiarte; Carlos Restrepo; Abdelali El Aroudi; Javier Calvente; Roberto Giral. 2019. "Digital Control of a Buck Converter Based on Input-Output Linearization. An Interpretation Using Discrete-Time Sliding Control Theory." Energies 12, no. 14: 2738.

Conference paper
Published: 01 March 2019 in 2019 IEEE Applied Power Electronics Conference and Exposition (APEC)
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The coordinated operation of autonomous parallel nanogrids (NGs) is recommended for clear distribution of energy resources and economical benefits. The achievement of the latter calls for the application of advanced power-sharing techniques capable of ensuring acceptable steady-state and transient performance. This article introduces the concept of non-linear droop mechanisms to increase the maneuverability of power-frequency performance and improve transient active power sharing problems observed in parallel NGs not only limited to active power oscillations. This work considers the use of residential split-phase inverters, their low-level voltage control and the dynamics of energy storage systems. Real-time simulation results, based on a commercial energy storage system, are provided to evaluate the performance of the proposed non-linear droop control.

ACS Style

Alberto Berzoy; Andres Salazar; Farid Khalizheli; Carlos Restrepo; Javad Mohammadpour Velni. Non-linear Droop Control of Parallel Split-phase Inverters for Residential Nanogrids. 2019 IEEE Applied Power Electronics Conference and Exposition (APEC) 2019, 1150 -1156.

AMA Style

Alberto Berzoy, Andres Salazar, Farid Khalizheli, Carlos Restrepo, Javad Mohammadpour Velni. Non-linear Droop Control of Parallel Split-phase Inverters for Residential Nanogrids. 2019 IEEE Applied Power Electronics Conference and Exposition (APEC). 2019; ():1150-1156.

Chicago/Turabian Style

Alberto Berzoy; Andres Salazar; Farid Khalizheli; Carlos Restrepo; Javad Mohammadpour Velni. 2019. "Non-linear Droop Control of Parallel Split-phase Inverters for Residential Nanogrids." 2019 IEEE Applied Power Electronics Conference and Exposition (APEC) , no. : 1150-1156.

Journal article
Published: 20 December 2018 in IEEE Journal of Emerging and Selected Topics in Power Electronics
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The coupled-inductor buck-boost converter is a versatile dc-dc converter, which is suitable for performing different roles within the hybrid power systems. Its multiple advantageous features include noninverting voltage step-up/step-down characteristic, high efficiency, wide bandwidth control, ability to control the input and output voltages and currents, and so on. All the existing current control approaches for this type of converter are based on analog control implementation, which allows achieving high closed-loop bandwidth. However, analog control limits the possibilities for applying the advanced control schemes and algorithms for achieving smooth operating mode transitions. This paper proposes two digital current control strategies for a versatile buck-boost converter: a predictive average current control and a multisampled average current control. Both the proposed digital control strategies ensure fast tracking of the control set point, low steady-state error, and a practically undegraded dynamic response of the system in comparison with the analog average current control. The theoretical analyses have been validated by means of simulations and experimental tests performed on a 48-V 600-W purpose-built prototype.

ACS Style

Carlos Restrepo; Tine Konjedic; Freddy Flores-Bahamonde; Enric Vidal-Idiarte; Javier Calvente; Roberto Giral. Multisampled Digital Average Current Controls of the Versatile Buck–Boost Converter. IEEE Journal of Emerging and Selected Topics in Power Electronics 2018, 7, 879 -890.

AMA Style

Carlos Restrepo, Tine Konjedic, Freddy Flores-Bahamonde, Enric Vidal-Idiarte, Javier Calvente, Roberto Giral. Multisampled Digital Average Current Controls of the Versatile Buck–Boost Converter. IEEE Journal of Emerging and Selected Topics in Power Electronics. 2018; 7 (2):879-890.

Chicago/Turabian Style

Carlos Restrepo; Tine Konjedic; Freddy Flores-Bahamonde; Enric Vidal-Idiarte; Javier Calvente; Roberto Giral. 2018. "Multisampled Digital Average Current Controls of the Versatile Buck–Boost Converter." IEEE Journal of Emerging and Selected Topics in Power Electronics 7, no. 2: 879-890.

Conference paper
Published: 01 October 2018 in 2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA)
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In this work the study of different algorithms of maximum power point tracking for a Boost Interleaved topology for photovoltaic applications is presented. The nature of this converter offers the possibility of using algorithms in such a way that they work independently in each module and therefore optimize the solar energy obtained from their panels. A brief description of the converter is presented, highlighting its advantages for this type of application. The algorithms Perturb and Observe, Incremental Conductance and Multiple Photovoltaic Arrangements are described which were used for the proposed converter. Several simulation tests were carried out to obtain a well-founded answer on which was the most convenient algorithm for the proposed converter.

ACS Style

Javier Munoz; Daniel Apablaza; Manuel Diaz; Carlos Restrepo. Study of MPPT algorithms for a Boost Interleaved three-level converter. 2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA) 2018, 1 -6.

AMA Style

Javier Munoz, Daniel Apablaza, Manuel Diaz, Carlos Restrepo. Study of MPPT algorithms for a Boost Interleaved three-level converter. 2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA). 2018; ():1-6.

Chicago/Turabian Style

Javier Munoz; Daniel Apablaza; Manuel Diaz; Carlos Restrepo. 2018. "Study of MPPT algorithms for a Boost Interleaved three-level converter." 2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA) , no. : 1-6.

Conference paper
Published: 01 October 2018 in 2018 IEEE International Telecommunications Energy Conference (INTELEC)
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Cascade H-bridge multilevel (CHB-ML) inverters are an excellent alternative to supply power to the ac micro-grids since they have high reliability and achieve an acceptable quality of voltage at their output terminals. On the other hand, the standard direct model predictive control (MPC) scheme is a very intuitive strategy to control this type of converters, but in general, has a steady-state error when operates with low sampling frequencies and/or if the parameters of the predictive model are different in the real system. In this paper, a CHB-ML inverter that injects power to a micro-grid using a new improved direct MPC scheme is proposed. The proposed strategy eliminates the steady-state error in the MPC operating with low sampling frequencies, also maintaining a correct operation when occurring a change in some parameter of the system. Simulated results will demonstrate the feasibility of the proposal.

ACS Style

Carlos R. Baier; Roberto Ramirez; Esteban Marciel; Richard Duarte; Pedro Melin; Carlos Restrepo; Eduardo Espinosa. Direct Model Predictive Control without Steady-State Error proposed for a Cascade H-Bridge Multilevel Inverter to operate in a Microgrid. 2018 IEEE International Telecommunications Energy Conference (INTELEC) 2018, 1 -6.

AMA Style

Carlos R. Baier, Roberto Ramirez, Esteban Marciel, Richard Duarte, Pedro Melin, Carlos Restrepo, Eduardo Espinosa. Direct Model Predictive Control without Steady-State Error proposed for a Cascade H-Bridge Multilevel Inverter to operate in a Microgrid. 2018 IEEE International Telecommunications Energy Conference (INTELEC). 2018; ():1-6.

Chicago/Turabian Style

Carlos R. Baier; Roberto Ramirez; Esteban Marciel; Richard Duarte; Pedro Melin; Carlos Restrepo; Eduardo Espinosa. 2018. "Direct Model Predictive Control without Steady-State Error proposed for a Cascade H-Bridge Multilevel Inverter to operate in a Microgrid." 2018 IEEE International Telecommunications Energy Conference (INTELEC) , no. : 1-6.

Conference paper
Published: 01 October 2018 in 2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA)
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There are numerous studies that have proven the advantages of the coupled-inductor buck-boost dc-dc switching converter to manage the power in different hybrid system topologies. Features such as noninverting voltage step up and step down characteristic, wide-bandwidth, high efficiency, the ability to regulate the input or output currents with the facility to change current regulation loop between them in a sudden and smooth manner, among other benefits, have increased interest in this converter. However, until now it has only been reported an analog current control small-signal model that has been linearized about a quiescent operating point. In this article, model predictive control (MPC) by the coupled-inductor buck- boost input current is presented with the goal of extend its operation point domain in comparison with the small-signal based regulator. The finite control set MPC (FCS-MPC) updates at every switching cycle the state which minimizes the cost function. This function simultaneously improves the current tracking and reduces the converter power losses. The theoretical analysis have been validated by means of simulations to illustrate the advantages of the proposed predictive control.

ACS Style

Patricio Caceres; Carlos Restrepo; Carlos R. Baier; Javier Munoz. Finite control set model predictive current control of the Coupled-Inductor Buck–Boost DC–DC Switching Converter. 2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA) 2018, 1 -6.

AMA Style

Patricio Caceres, Carlos Restrepo, Carlos R. Baier, Javier Munoz. Finite control set model predictive current control of the Coupled-Inductor Buck–Boost DC–DC Switching Converter. 2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA). 2018; ():1-6.

Chicago/Turabian Style

Patricio Caceres; Carlos Restrepo; Carlos R. Baier; Javier Munoz. 2018. "Finite control set model predictive current control of the Coupled-Inductor Buck–Boost DC–DC Switching Converter." 2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA) , no. : 1-6.

Conference paper
Published: 01 December 2017 in 2017 IEEE Southern Power Electronics Conference (SPEC)
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A simple way to implement a fuel cell (FC) emulator is by means of programming a dc power supply present in all power electronic laboratories. However, in many cases the current and voltage ranges of these dc power supplies are different than those required to emulate a specific FC model. In this paper a possible solution is proposed to emulate a proton exchange membrane fuel cell (PEMFC) system by means of any dc power supply able to provide the maximum power of the FC to be emulated. The solution is the connection of a dc transformer based on the versatile dc-dc noninverting buck-boost converter between the dc power supply and the load to adapt the voltage or current to the fuel cell which wants to be emulated. Simulation results using the recently reported Ballard NEXA 1.2 kW diffusive FC model to control the different dc power supplies illustrate the advantages of this new canonical element, the dc transformer, for power processing.

ACS Style

Freddy Flores-Bahamonde; Marco Rivera; Carlos Baier; Javier Calvente; Roberto Giral; Carlos Restrepo. DC transformer based on the versatile DC-DC noninverting buck-boost converter for fuel cell emulation. 2017 IEEE Southern Power Electronics Conference (SPEC) 2017, 1 -6.

AMA Style

Freddy Flores-Bahamonde, Marco Rivera, Carlos Baier, Javier Calvente, Roberto Giral, Carlos Restrepo. DC transformer based on the versatile DC-DC noninverting buck-boost converter for fuel cell emulation. 2017 IEEE Southern Power Electronics Conference (SPEC). 2017; ():1-6.

Chicago/Turabian Style

Freddy Flores-Bahamonde; Marco Rivera; Carlos Baier; Javier Calvente; Roberto Giral; Carlos Restrepo. 2017. "DC transformer based on the versatile DC-DC noninverting buck-boost converter for fuel cell emulation." 2017 IEEE Southern Power Electronics Conference (SPEC) , no. : 1-6.

Conference paper
Published: 01 December 2017 in 2017 IEEE Southern Power Electronics Conference (SPEC)
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Impedance source inverters (ZSIs) have attracted much attention in recent years due to their ability to behave as boost/buck at their output terminals without the need of an extra dc/dc converter to accomplish this task. But the losses can be highly significant if the inverter operates at low voltage levels using devices such as the IGBT semiconductors. This work presents a simple solution to reduce the losses during the shoot-through state of an IGBT-based single phase impedance source inverter. Experimental results demonstrate the effectiveness of the proposed method in reducing the losses by increasing the overall efficiency of the inverter.

ACS Style

Carlos R. Baier; Miguel A. Torres; Manuel A. Diaz; Josep Pou; Johan Guzman; Carlos Restrepo; Jaime Rohten; Marco Rivera. Improving efficiency in the shoot-through state of a single-phase z-source inverter. 2017 IEEE Southern Power Electronics Conference (SPEC) 2017, 1 -6.

AMA Style

Carlos R. Baier, Miguel A. Torres, Manuel A. Diaz, Josep Pou, Johan Guzman, Carlos Restrepo, Jaime Rohten, Marco Rivera. Improving efficiency in the shoot-through state of a single-phase z-source inverter. 2017 IEEE Southern Power Electronics Conference (SPEC). 2017; ():1-6.

Chicago/Turabian Style

Carlos R. Baier; Miguel A. Torres; Manuel A. Diaz; Josep Pou; Johan Guzman; Carlos Restrepo; Jaime Rohten; Marco Rivera. 2017. "Improving efficiency in the shoot-through state of a single-phase z-source inverter." 2017 IEEE Southern Power Electronics Conference (SPEC) , no. : 1-6.

Conference paper
Published: 01 December 2017 in 2017 IEEE Southern Power Electronics Conference (SPEC)
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Recent publications on multilevel converters show different topologies and control to obtain an improvement in the sinusoidal AC waveforms, controlling simultaneously the DC voltage and the active/reactive power. This paper presents a 27-level asymmetric multilevel converter used as a STATic COMpensator, aimed to inject/absorb the reactive power consumed/produced by an inductive/capacitive load. The control strategy includes a master-slave approach that considers a predictive controller for the current tracking in the inner loop and a PI linear control to keep the DC voltages in their reference values for the outer loop. The use of the park transformation and its inverse are required to generate the references for the predictive algorithm. Dynamic tests obtained through simulations are included to demonstrate the feasibility of the approach.

ACS Style

Javier Muñoz; Patricio Gaisse; Fausto Cadena; Marco Rivera; Carlos Baier; Carlos Restrepo. Model predictive control for a 27-level asymmetric multilevel STATic COMpensator. 2017 IEEE Southern Power Electronics Conference (SPEC) 2017, 1 -6.

AMA Style

Javier Muñoz, Patricio Gaisse, Fausto Cadena, Marco Rivera, Carlos Baier, Carlos Restrepo. Model predictive control for a 27-level asymmetric multilevel STATic COMpensator. 2017 IEEE Southern Power Electronics Conference (SPEC). 2017; ():1-6.

Chicago/Turabian Style

Javier Muñoz; Patricio Gaisse; Fausto Cadena; Marco Rivera; Carlos Baier; Carlos Restrepo. 2017. "Model predictive control for a 27-level asymmetric multilevel STATic COMpensator." 2017 IEEE Southern Power Electronics Conference (SPEC) , no. : 1-6.