scholarly journals Hardware-in-the-Loop and Digital Control Techniques Applied to Single-Phase PFC Converters

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1563
Author(s):  
Paula Lamo ◽  
Angel de Castro ◽  
Alberto Sanchez ◽  
Gustavo A. Ruiz ◽  
Francisco J. Azcondo ◽  
...  

Power electronic converters for power factor correction (PFC) play a key role in single-phase electrical power systems, ensuring that the line current waveform complies with the applicable standards and grid codes while regulating the DC voltage. Its verification implies significant complexity and cost, since it requires long simulations to verify its behavior, for around hundreds of milliseconds. The development and test of the controller include nominal, abnormal and fault conditions in which the equipment could be damaged. Hardware-in-the-loop (HIL) is a cost-effective technique that allows the power converter to be replaced by a real-time simulation model, avoiding building prototypes in the early stages for the development and validation of the controller. However, the performance-vs-cost trade-off associated with HIL techniques depends on the mathematical models used for replicating the power converter, the load and the electrical grid, as well as the hardware platform chosen to build it, e.g., microprocessor or FPGA, and the required number of channels and I/O types to test the system. This work reviews state-of-the-art HIL techniques and digital control techniques for single-phase PFC converters.

2017 ◽  
Author(s):  
Bailey Hall ◽  
Benjamin Palmer ◽  
Tyler Milburn ◽  
Luis Herrera ◽  
Bang Tsao ◽  
...  

2016 ◽  
Vol 63 (1) ◽  
pp. 406-417 ◽  
Author(s):  
Georg Lauss ◽  
M. Omar Faruque ◽  
Karl Schoder ◽  
Christian Dufour ◽  
Alexander Viehweider ◽  
...  

2021 ◽  
Vol 17 (2) ◽  
pp. 108-119
Author(s):  
Nabil Aklo ◽  
Mofeed Rashid

Smart Microgrid (MG) effectively contributes to supporting the electrical power systems as a whole and reducing the burden on the utility grid by the use of unconventional energy generation resources, in addition to backup Diesel Generators (DGs) for reliability increasing. In this paper, potential had been done on day-ahead scheduling of diesel generators and reducing the energy cost reached to the consumers side to side with renewable energy resources, where economical energy and cost-effective MG has been used based on optimization agent called Energy Management System (EMS). Improved Particle Swarm Optimization (IPSO) technique has been used as an optimization method to reduce fuel consumption and obtain the lowest energy cost as well as achieving the best performance to the energy system. Three scenarios are adopted to prove the efficiency of the proposed method. The first scenario uses a 24 hour time horizon to investigate the performance of the model, the second scenario uses two DGs and the third scenario depends on a 48-hour time horizon to validating the performance. The superiority of the proposed method is illustrated by comparing it with PSO and simulation results show using the proposed method can reducing the fuel demand and the energy cost by satisfying the user’s preference.


DYNA ◽  
2015 ◽  
Vol 82 (194) ◽  
pp. 119-129 ◽  
Author(s):  
Jorge Luis Diaz Rodriguez ◽  
Luis David Pabón Fernández ◽  
Jorge Luis Contreras Peña

This paper presents the development of a data acquisition system and the evaluation of the electromagnetic phenomena associated with power quality according to the IEEE Standard 1159-1992 and applied to the particular case of single-phase electrical power systems. The evaluation software is implemented in the Labview® professional software using a NI 6009 USB board of the National Instrument® as acquisition device. The hardware implementation of the sensors was shown. Also the development of the algorithm and the design of a graphical user interface for viewing of the voltage and current waveforms, spectra, frequency and the power quality disturbances such as sags, swells, undervoltage, overvoltage, so on. Likewise, at the end a concise analysis of costs is presented to show that the developed system has a lower price to current solutions that are available in the market. Finally a study case was shown.


Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 939
Author(s):  
Poria Hasanpor Divshali ◽  
Pasi Laakso ◽  
Seppo Hänninen ◽  
Robert John Millar ◽  
Matti Lehtonen

In order to analyze the safety of nuclear power plants (NPP), interactions between thermomechanical and automation processes, the on-site electrical grid, and the off-site transmission system should be studied in detail. However, an initial survey of simulation tools used for the modelling and simulation of NPP shows that existing simulation tools have some drawbacks in properly simulating the aforementioned interactions. In fact, they simulate detailed electrical power systems and thermomechanical systems but neglect the detailed interactions of the electrical system with thermomechanical and automation processes. To address this challenge, this paper develops an open-source co-simulation platform which connects Apros, a proprietary simulator of the thermomechanical and automation processes in NPP, to power system simulators. The proposed platform provides an opportunity to simulate both the electrical and thermomechanical systems of an NPP simultaneously, and study the interactions between them without neglecting any details. This detailed analysis can identify critical faults more accurately, and provides better support for probabilistic risk analyses (PRA) of NPP. To investigate the effectiveness of the proposed platform, detailed thermomechanical and electrical models of an NPP, located in Finland, are cosimulated. The preliminary results emphasize that neglecting the detailed interactions between domains of NPP may lead to inaccurate simulation results and may affect NPP safety.


Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8469
Author(s):  
Maria Carmela Di Piazza

Energy management systems (EMSs) have been introduced in electrical power systems to optimize operations of the electrical grid infrastructure and to provide support to the grid operator in terms of optimized decisions [...]


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