Benchmarking Real-Time Control Platforms Using a Matlab/Simulink Coder with Applications in the Control of DC/AC Switched Power Converters

Vasquez-Plaza, Jesus D.; Lopez-Chavarro, Andres F.; Sanabria-Torres, Enrique A.; Patarroyo-Montenegro, Juan F.; Andrade, Fabio

doi:10.3390/en15196940

Cited by 8 publications

(6 citation statements)

References 49 publications

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“…It consists of a power electronic circuit, which includes electronic switches such as IGBTs, MOSFETs, capacitors, magnetic components, and a digital controller. The control algorithm is implemented in the digital controller, which is responsible for controlling the operation of the power electronic circuit [28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47].…”

Section: Power Electronic Circuitmentioning

confidence: 99%

“…Consequently, the number of publications devoted to power electronics is enormous (e.g., [1][2][3][4][5][6][7][8][9][10]), and similarly, many publications describe problems of digital signal processing (e.g., [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27]). Only a few publications describe digital signal processing in the context of power electronics [28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47].…”

Section: Introductionmentioning

confidence: 99%

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Overview of Signal Processing Problems in Power Electronic Control Circuits

Sozański

2023

Energies

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This paper examines various aspects related to digital signal processing in digital control circuits used in power electronics. The discussion focuses on several common issues, including the sampling rate of signals (including phenomena such as aliasing and synchronization), coherent sampling, jitter of sampling pulses, sequential versus simultaneous sampling in multichannel systems, signal resolution (including signal-to-noise ratio, noise-shaping circuits, and changes in sampling speed), interpolation and decimation, and the conversion of analog circuits into digital form. One of the key contributions of this paper is the introduction of a new formula for calculating the resultant signal-to-noise ratio for three-stage digital control circuits. By carefully considering and correcting for sources of error, it is possible to increase the signal-to-noise ratio and minimize distortion components. This, in turn, leads to improved output/input current and voltage parameters, which can have a positive impact on the overall quality of energy processing in power electronic circuits.

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Section: Power Electronic Circuitmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Overview of Signal Processing Problems in Power Electronic Control Circuits

Sozański

2023

Energies

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“…Moreover, simulation techniques have been suggested for optimizing various aspects of thermal power plants. For instance, the MATLAB®/Simulink platform has been used for real-time control in various applications [15], [16,17]. Additionally, simulation has been employed for optimizing coal transportation [18,19], [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation modelling of sampling and replacement of coal suppliers for thermal power plants

Grishyn,

Tarakhtij

2023

AAIT

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This paper embarks to the persistent suboptimal coal quality issues experienced in thermal power plants that hinder operational efficiency and sustainability. The research is divided into three main segments: formulation of a transport problem, creationof a coal supplier selection model, and construction of a MATLAB Simulink® simulation for detecting and refusing low-grade coal. The proposed supplier selection model, important for thermal power plants, considers factors such as potential transport delays and the necessity of reserve refueling to prevent fuel shortages. This model is expected to decrease fuel shortages and enhance the reliability and efficiency of thermal power plants. Additionally, a coal quality detection model has been developed using a sampling approach based on the Cochran formula, aiming to increase defect detection accuracy, thus reducing the likelihood of utilizing poor-quality coal. The model's unique feature is its dynamic adjustment of coal sample selection based on combustion results, enabling real-time response to coal quality inconsistencies. Upon detecting poor-qualitycoal, the power plants promptly switch to an alternate supplier, minimizing operational disruptions. The validity of the models was confirmed via simulation on various examples

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“…The power amplifiers switching frequency were tuned to 10 KHz utilizing symmetric spacevector modulation. Further information and research activities on the microgrid test bed may be found in [28]- [30]. the literature which were proposed by EPRI.…”

Section: Experimental Validationmentioning

confidence: 99%

Smooth Mathematical Representation of the DER_A Aggregated Model

Vasquez-Plaza,

Scarpetta,

Hansen

et al. 2023

IEEE Access

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System dynamic models for hundreds of inverter-based generators are necessary to represent the whole behavior and to perform stability analysis at the transmission and distribution level in the electric power system. Aggregated models such as DER_A and PVD1 have been proposed, however, they have many parameters and there is currently no methodology to parameterize them. Many of the parameterization methods for this type of model require only smooth functions. Because these models have non-linear blocks, such as saturation and dead-band functions, this paper proposes a smooth mathematical representation of the DER_A aggregated model. The proposed smooth mathematical representation uses a novel smooth function proposed to represent the saturation function and further uses a proposed method to obtain a smooth dead-band function from the proposed smooth saturation function. Finally, the impact of the use of smooth functions on the dynamics of the DER_A model states is experimentally presented and it is also demonstrated by means of electrical signals that the proposed smooth mathematical representation can represent the dynamics of the aggregated DER_A model, paving a way for future research on parameter identification and stability assessment of the aggregated inverter-based generation models. INDEX TERMS Aggregated inverter-based generation model, DER_A model, mathematical representation, smooth saturation function, smooth dead-band function.

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Benchmarking Real-Time Control Platforms Using a Matlab/Simulink Coder with Applications in the Control of DC/AC Switched Power Converters

Cited by 8 publications

References 49 publications

Overview of Signal Processing Problems in Power Electronic Control Circuits

Overview of Signal Processing Problems in Power Electronic Control Circuits

Simulation modelling of sampling and replacement of coal suppliers for thermal power plants

Smooth Mathematical Representation of the DER_A Aggregated Model

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