Petr Krejci
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Petr Krejci has a total of 36 co-authors. Here are the top co-authors by number of shared publications:
Pavel Santarius
Department of cybernetics and biomedical engineering, VSB - Technical University of Ostrava, Ostrava, Czech Republic
7 shared publicationsPetr Rozehnal
Katedra elektroenergetiky, VŠB - Technická univerzita Ostrava, Česká republika
3 shared publications- Radomir Gono
Faculty of Electrical Engineering and Computer Science, VSBTechnical University of Ostrava, Czech Republic
3 shared publications Jan Unger
2 shared publicationsKarel Prochazka
EGC Energoconsult CB , České Budějovice , Czech Republic
2 shared publicationsMartin Kaspirek
E.ON Distribution , České Budějovice , Czech Republic
2 shared publications
Latest Publications
- 15 May 2024
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-5
Harmonic Filter Design Methodology
This paper focuses on the pivotal role of Harmonic Filters (HFs) in mitigating harmonic distortion within electrical systems to enhance power quality and efficiency. Harmonic distortion, characterized by deviations from the ideal sinusoidal waveform of electrical power, can cause equipment malfunctions, overheating, and a reduced lifespan of infrastructure. HFs, known for their cost-effectiveness and simplicity, employ inductors, capacitors, and resistors to selectively reduce specific harmonic frequencies, thereby improving system reliability and performance. The document explores traditional design methodologies of harmonic filter design, emphasizing criteria and considerations critical for effective harmonic mitigation. It highlights the use of advanced simulation tools, such as MATLAB/Simulink and PF DigSilent, which enable precise analysis and optimization of filter designs to meet specific system requirements. Moreover, it discusses the significance of designing filters with adequate margins to ensure system safety and reliability, considering the variability of loads and the presence of other harmonic sources. Driven by the necessity to enhance harmonic filter design in the face of increasingly complex electrical infrastructures, this paper advocates for leveraging recent advances in simulation tools.
- 15 May 2024
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-5
Harmonic Filter Design Methodology
This paper focuses on the pivotal role of Harmonic Filters (HFs) in mitigating harmonic distortion within electrical systems to enhance power quality and efficiency. Harmonic distortion, characterized by deviations from the ideal sinusoidal waveform of electrical power, can cause equipment malfunctions, overheating, and a reduced lifespan of infrastructure. HFs, known for their cost-effectiveness and simplicity, employ inductors, capacitors, and resistors to selectively reduce specific harmonic frequencies, thereby improving system reliability and performance. The document explores traditional design methodologies of harmonic filter design, emphasizing criteria and considerations critical for effective harmonic mitigation. It highlights the use of advanced simulation tools, such as MATLAB/Simulink and PF DigSilent, which enable precise analysis and optimization of filter designs to meet specific system requirements. Moreover, it discusses the significance of designing filters with adequate margins to ensure system safety and reliability, considering the variability of loads and the presence of other harmonic sources. Driven by the necessity to enhance harmonic filter design in the face of increasingly complex electrical infrastructures, this paper advocates for leveraging recent advances in simulation tools.
- Open Access
- 29 January 2023
- Published by MDPI AG in Electronics
- Vol. 12 (3) , 676
An Approach for Classification of Alzheimer’s Disease Using Deep Neural Network and Brain Magnetic Resonance Imaging (MRI)
Alzheimer’s disease (AD) is a deadly cognitive condition in which people develop severe dementia symptoms. Neurologists commonly use a series of physical and mental tests to diagnose AD that may not always be effective. Damage to brain cells is the most significant physical change in AD. Proper analysis of brain images may assist in the identification of crucial bio-markers for the disease. Because the development of brain cells is so intricate, traditional image processing algorithms sometimes fail to perceive important bio-markers. The deep neural network (DNN) is a machine learning technique that helps specialists in making appropriate decisions. In this work, we used brain magnetic resonance scans to implement some commonly used DNN models for AD classification. According to the classification results, where the average of multiple metrics is observed, which includes accuracy, precision, recall, and an F1 score, it is found that the DenseNet-121 model achieved the best performance (86.55%). Since DenseNet-121 is a computationally expensive model, we proposed a hybrid technique incorporating LeNet and AlexNet that is light weight and also capable of outperforming DenseNet. To extract important features, we replaced the traditional convolution Layers with three parallel small filters (, and ). The model functions effectively, with an overall performance rate of 93.58%. Mathematically, it is observed that the proposed model generates significantly fewer convolutional parameters, resulting in a lightweight model that is computationally effective.- 29 January 2023
- Published by MDPI AG in Electronics
- Vol. 12 (3) , 676
Open AccessAn Approach for Classification of Alzheimer’s Disease Using Deep Neural Network and Brain Magnetic Resonance Imaging (MRI)
Alzheimer’s disease (AD) is a deadly cognitive condition in which people develop severe dementia symptoms. Neurologists commonly use a series of physical and mental tests to diagnose AD that may not always be effective. Damage to brain cells is the most significant physical change in AD. Proper analysis of brain images may assist in the identification of crucial bio-markers for the disease. Because the development of brain cells is so intricate, traditional image processing algorithms sometimes fail to perceive important bio-markers. The deep neural network (DNN) is a machine learning technique that helps specialists in making appropriate decisions. In this work, we used brain magnetic resonance scans to implement some commonly used DNN models for AD classification. According to the classification results, where the average of multiple metrics is observed, which includes accuracy, precision, recall, and an F1 score, it is found that the DenseNet-121 model achieved the best performance (86.55%). Since DenseNet-121 is a computationally expensive model, we proposed a hybrid technique incorporating LeNet and AlexNet that is light weight and also capable of outperforming DenseNet. To extract important features, we replaced the traditional convolution Layers with three parallel small filters (, and ). The model functions effectively, with an overall performance rate of 93.58%. Mathematically, it is observed that the proposed model generates significantly fewer convolutional parameters, resulting in a lightweight model that is computationally effective. - Open Access
- 27 March 2019
- Published by VSB - Technical University of Ostrava in Advances in Electrical and Electronic Engineering
- Vol. 17 (1) , 13 - 23-23
Load Flow Analysis in Power System Network Incorporating STATCOM: A Comparison of the Direct and Indirect Algorithm of the Newton-Raphson Method
Load Flow Analysis in Power System Network Incorporating STATCOM: A Comparison of the Direct and Indirect Algorithm of the Newton-Raphson Method
- 27 March 2019
- Published by VSB - Technical University of Ostrava in Advances in Electrical and Electronic Engineering
- Vol. 17 (1) , 13 - 23-23
Open AccessLoad Flow Analysis in Power System Network Incorporating STATCOM: A Comparison of the Direct and Indirect Algorithm of the Newton-Raphson Method
Load Flow Analysis in Power System Network Incorporating STATCOM: A Comparison of the Direct and Indirect Algorithm of the Newton-Raphson Method
- 1 May 2018
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-5
Influence of power regulators on the measurement of consumption and supply of electricity
Currently regulators are increasingly being applied to optimize power flow in connection with the installation of photovoltaic power plants in low voltage networks. These devices use the insensitivity of standard meters to rapid changes of the energy flow direction and thus affect the measured values of consumed energy and the energy supplied to the network. At the laboratory comparative measurements were made on simulated current flows so that these properties of the devices were shown in relation to the parameters of the test waveforms. Some electricity meters and some network analyzers were tested. If power regulation cycle runs during 1s aggregation interval then measured values may differ from reality. Test results have confirmed that electricity meters are not able to correctly measure the measured electrical power in the circuit with power controller. In contrast, network analyzers mostly evaluate both positive and negative energy correctly.
- 1 May 2018
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-5
Influence of power regulators on the measurement of consumption and supply of electricity
Currently regulators are increasingly being applied to optimize power flow in connection with the installation of photovoltaic power plants in low voltage networks. These devices use the insensitivity of standard meters to rapid changes of the energy flow direction and thus affect the measured values of consumed energy and the energy supplied to the network. At the laboratory comparative measurements were made on simulated current flows so that these properties of the devices were shown in relation to the parameters of the test waveforms. Some electricity meters and some network analyzers were tested. If power regulation cycle runs during 1s aggregation interval then measured values may differ from reality. Test results have confirmed that electricity meters are not able to correctly measure the measured electrical power in the circuit with power controller. In contrast, network analyzers mostly evaluate both positive and negative energy correctly.
- Open Access
- 1 October 2017
- Published by Institution of Engineering and Technology (IET) in CIRED - Open Access Proceedings Journal
- Vol. 2017 (1) , 517-521
Analysis of voltage quality parameters in MV distribution grid
This study describes the impact of operation of big customers on voltage quality (VQ) parameters in medium-voltage (MV) distribution grids. The survey is based on the evaluation of 45 VQ measurements which were carried out in 15 different delivery points of other customers. These 45 measurements were made in years 2014, 2015 and 2016 (15 measurements a year) and were evaluated according to the standard EN 50160. The impact on voltage variations and other VQ parameters was analysed.
- 1 October 2017
- Published by Institution of Engineering and Technology (IET) in CIRED - Open Access Proceedings Journal
- Vol. 2017 (1) , 517-521
Open AccessAnalysis of voltage quality parameters in MV distribution grid
This study describes the impact of operation of big customers on voltage quality (VQ) parameters in medium-voltage (MV) distribution grids. The survey is based on the evaluation of 45 VQ measurements which were carried out in 15 different delivery points of other customers. These 45 measurements were made in years 2014, 2015 and 2016 (15 measurements a year) and were evaluated according to the standard EN 50160. The impact on voltage variations and other VQ parameters was analysed.
- 1 May 2017
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-4
Power quality complaints and monitoring of flicker in selected areas of northern Moravia
Electric power is the electrical appliances basic means for their functionality. In case that the electrical energy customer causes problems arise thereby complaints the power quality. In areas with frequent complaints of power quality measurements were made in order to resolve the reported complaints and also in order to investigate the cause of exceeding the compatibility level of power quality.
- 1 May 2017
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-4
Power quality complaints and monitoring of flicker in selected areas of northern Moravia
Electric power is the electrical appliances basic means for their functionality. In case that the electrical energy customer causes problems arise thereby complaints the power quality. In areas with frequent complaints of power quality measurements were made in order to resolve the reported complaints and also in order to investigate the cause of exceeding the compatibility level of power quality.
- Open Access
- 31 December 2016
- Published by VSB - Technical University of Ostrava in Advances in Electrical and Electronic Engineering
- Vol. 14 (5)
Flicker Caused by Operation of Industrial Technology
- 31 December 2016
- Published by VSB - Technical University of Ostrava in Advances in Electrical and Electronic Engineering
- Vol. 14 (5)
Open AccessFlicker Caused by Operation of Industrial Technology
- Open Access
- 1 July 2016
- Published by EEEIC International Publishing in Transactions on Environment and Electrical Engineering
- Vol. 1 (3) , 1-8
Long-Term Monitoring of Flicker and Some Other Parameters of Voltage Quality
In 1997 cooperation began between the Faculty of Electrical Engineering and Computer Science and the power company CEZ on a joint project that involved monitoring selected voltage quality parameters. Over the course of several years measurements were carried out at 59 points of the distribution system at a low voltage (LV) level and their power supply nodes at medium voltage (MV) and high voltage (HV) levels, which constituted more than 100 measured points. The measurements continued until 2012 (with a one-year break in 2009) and with a total scope of five cycles of three-year measurements. The last phase of the measurements was focused, inter alia, on the evaluation of 15th and 21st voltage harmonics. From 2013, the cooperation focused again on monitoring flicker in localities with the occurrence of elevated levels of this voltage quality parameter. At these sites, the monitoring of flicker was carried out for two weeks in spring and autumn for a period of three years. The basis for evaluating the quality parameters is the standard EN 50160.
- 1 July 2016
- Published by EEEIC International Publishing in Transactions on Environment and Electrical Engineering
- Vol. 1 (3) , 1-8
Open AccessLong-Term Monitoring of Flicker and Some Other Parameters of Voltage Quality
In 1997 cooperation began between the Faculty of Electrical Engineering and Computer Science and the power company CEZ on a joint project that involved monitoring selected voltage quality parameters. Over the course of several years measurements were carried out at 59 points of the distribution system at a low voltage (LV) level and their power supply nodes at medium voltage (MV) and high voltage (HV) levels, which constituted more than 100 measured points. The measurements continued until 2012 (with a one-year break in 2009) and with a total scope of five cycles of three-year measurements. The last phase of the measurements was focused, inter alia, on the evaluation of 15th and 21st voltage harmonics. From 2013, the cooperation focused again on monitoring flicker in localities with the occurrence of elevated levels of this voltage quality parameter. At these sites, the monitoring of flicker was carried out for two weeks in spring and autumn for a period of three years. The basis for evaluating the quality parameters is the standard EN 50160.
- 1 June 2016
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-6
Long-term monitoring of flicker and some other parameters of voltage quality
In 1997 cooperation began between the Faculty of Electrical Engineering and Computer Science and the power company CEZ on a joint project that involved monitoring selected voltage quality parameters. Over the course of several years measurements were carried out at 59 points of the distribution system at a low voltage (LV) level and their power supply nodes at medium voltage (MV) and high voltage (HV) levels, which constituted more than 100 measured points. The measurements continued until 2012 (with a one-year break in 2009) and with a total scope of five cycles of three-year measurements. The last phase of the measurements was focused, inter alia, on the evaluation of 15th and 21st voltage harmonics. From 2013, the cooperation focused again on monitoring flicker in localities with the occurrence of elevated levels of this voltage quality parameter. At these sites, the monitoring of flicker was carried out for two weeks in spring and autumn for a period of three years. The basis for evaluating the quality parameters is the standard EN 50160.
- 1 June 2016
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-6
Long-term monitoring of flicker and some other parameters of voltage quality
In 1997 cooperation began between the Faculty of Electrical Engineering and Computer Science and the power company CEZ on a joint project that involved monitoring selected voltage quality parameters. Over the course of several years measurements were carried out at 59 points of the distribution system at a low voltage (LV) level and their power supply nodes at medium voltage (MV) and high voltage (HV) levels, which constituted more than 100 measured points. The measurements continued until 2012 (with a one-year break in 2009) and with a total scope of five cycles of three-year measurements. The last phase of the measurements was focused, inter alia, on the evaluation of 15th and 21st voltage harmonics. From 2013, the cooperation focused again on monitoring flicker in localities with the occurrence of elevated levels of this voltage quality parameter. At these sites, the monitoring of flicker was carried out for two weeks in spring and autumn for a period of three years. The basis for evaluating the quality parameters is the standard EN 50160.
- 1 May 2015
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 532-537
A power quality evaluating in autonomous system using virtual instrument tool
In recent years, the utilizing of intelligent technology in a classical distribution and transmitting system becomes more and more important in all energy-related topics. The development bring us to the new era of power electrical engineering, to the era of Smart-Grids. These intelligent grids allow us to operate the grid with a specific set of requirements, such as bi-directional power flows, maximal utilization of renewable energy sources using energy storage devices, grid desynchronization and re-synchronization up to individual energy object level - Autonomous systems or more precisely Off-Grid systems. In this case, Off-Grid system can be understood as a basic cell of the entire Smart-Girds. However, it should be noted that in the Off-Grid system operation can occur some disadvantages as well. Based on the author's experience, the disadvantages lies in e.g. rapid changes in power consumption or generation, changes in the short circuit power influenced the protection system as well as the power quality parameters. This paper presents a long-term evaluation of power quality parameters of the real-operated Off-Grid system in VSB - TU Ostrava campus, Czech Republic.
- 1 May 2015
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 532-537
A power quality evaluating in autonomous system using virtual instrument tool
In recent years, the utilizing of intelligent technology in a classical distribution and transmitting system becomes more and more important in all energy-related topics. The development bring us to the new era of power electrical engineering, to the era of Smart-Grids. These intelligent grids allow us to operate the grid with a specific set of requirements, such as bi-directional power flows, maximal utilization of renewable energy sources using energy storage devices, grid desynchronization and re-synchronization up to individual energy object level - Autonomous systems or more precisely Off-Grid systems. In this case, Off-Grid system can be understood as a basic cell of the entire Smart-Girds. However, it should be noted that in the Off-Grid system operation can occur some disadvantages as well. Based on the author's experience, the disadvantages lies in e.g. rapid changes in power consumption or generation, changes in the short circuit power influenced the protection system as well as the power quality parameters. This paper presents a long-term evaluation of power quality parameters of the real-operated Off-Grid system in VSB - TU Ostrava campus, Czech Republic.