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Peter Bracinik
Faculty of Electrical Engineering and Information Technology, University of Zilina, Univerzitna 8215/1, 010 26 Zilina, Slovakia

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Journal article
Published: 27 April 2021 in Energies
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This paper deals with photovoltaic (PV) power plant modeling and its integration into the medium-voltage distribution network. Apart from solar cells, a simulation model includes a boost converter, voltage-oriented controller and LCL filter. The main emphasis is given to the comparison of two optimization methods—particle swarm optimization (PSO) and the Ziegler–Nichols (ZN) tuning method, approaches that are used for the parameters of Proportional-Integral (PI) controllers determination. A PI controller is commonly used because of its performance, but it is limited in its effectiveness if there is a change in the parameters of the system. In our case, the aforementioned change is caused by switching the feeders of the distribution network from an open-loop to a closed-loop arrangement. The simulation results have claimed the superiority of the PSO algorithm, while the classical ZN tuning method is acceptable in a limited area of operation.

ACS Style

Klemen Deželak; Peter Bracinik; Klemen Sredenšek; Sebastijan Seme. Proportional-Integral Controllers Performance of a Grid-Connected Solar PV System with Particle Swarm Optimization and Ziegler–Nichols Tuning Method. Energies 2021, 14, 2516 .

AMA Style

Klemen Deželak, Peter Bracinik, Klemen Sredenšek, Sebastijan Seme. Proportional-Integral Controllers Performance of a Grid-Connected Solar PV System with Particle Swarm Optimization and Ziegler–Nichols Tuning Method. Energies. 2021; 14 (9):2516.

Chicago/Turabian Style

Klemen Deželak; Peter Bracinik; Klemen Sredenšek; Sebastijan Seme. 2021. "Proportional-Integral Controllers Performance of a Grid-Connected Solar PV System with Particle Swarm Optimization and Ziegler–Nichols Tuning Method." Energies 14, no. 9: 2516.

Journal article
Published: 19 April 2021 in Applied Sciences
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With an increasing number of electric vehicles (EVs), their owners’ involvement in the control of electric power systems and their market seems to be the only option for stable operation of future power networks. However, these people usually have little knowledge about power systems’ operation and follow just their interests. Therefore, this paper deals with the decision-making process of EV drivers at the charging station. The paper presents the stated preference survey used to collect the responses to hypothetical scenarios, where respondents chose between three alternatives, namely slow charging, fast charging, and vehicle-to-grid services. The survey also contained questions about respondents’ socio-demographic characteristics, as gender, age, etc. The decision-making prediction models for each socio-demographic characteristic were created using the acquired data. The paper presents the estimated parameters of the attributes affecting the respondents’ choices for the models that allow models’ simple implementation. Knowing these models and the customers’ composition, the operators of the charging stations or the distribution networks could better estimate EV owners’ behavior and so their expected power demand. Moreover, operators could more effectively implement incentives for their customers and affect the customers’ behavior in a way that is suitable for better operation of their power systems.

ACS Style

Martina Kajanova; Peter Bracinik. Definition of Discrete Choice Models of EV Owners Based on Different Socio-Demographic Aspects. Applied Sciences 2021, 11, 3679 .

AMA Style

Martina Kajanova, Peter Bracinik. Definition of Discrete Choice Models of EV Owners Based on Different Socio-Demographic Aspects. Applied Sciences. 2021; 11 (8):3679.

Chicago/Turabian Style

Martina Kajanova; Peter Bracinik. 2021. "Definition of Discrete Choice Models of EV Owners Based on Different Socio-Demographic Aspects." Applied Sciences 11, no. 8: 3679.

Journal article
Published: 31 October 2018 in International Journal of Engineering and Technical Research (IJETR)
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ACS Style

Marek Novak; Pavol Belany; Marek Roch; Peter Bracinik. Analysis of a Local Factors affecting the Performance of the Photovoltaic Panels. International Journal of Engineering and Technical Research (IJETR) 2018, 8, 1 .

AMA Style

Marek Novak, Pavol Belany, Marek Roch, Peter Bracinik. Analysis of a Local Factors affecting the Performance of the Photovoltaic Panels. International Journal of Engineering and Technical Research (IJETR). 2018; 8 (10):1.

Chicago/Turabian Style

Marek Novak; Pavol Belany; Marek Roch; Peter Bracinik. 2018. "Analysis of a Local Factors affecting the Performance of the Photovoltaic Panels." International Journal of Engineering and Technical Research (IJETR) 8, no. 10: 1.

Original paper
Published: 31 July 2017 in Electrical Engineering
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The paper is dealing with a current trend of development in distribution networks’ control, with the focus on a real-time data acquisition and processing of information providing an overview of the distribution system operation. Nowadays, the amount of information available for the control of the distribution network is very limited, making the use of new sophisticated control algorithms and strategies very difficult or even impossible. The installation of smart meters and intelligent monitoring systems on the low voltage side of distribution transformers opens new possibilities for using specific tools to improve different aspects of the distribution system operation, e.g., a voltage control, a reactive power control, a reduction in losses or a fault location. The use of such systems may lead to a higher utilization of renewable energy sources to the distribution networks.

ACS Style

Dávid Kaprál; Peter Braciník; Marek Roch; Marek Höger. Optimization of distribution network operation based on data from smart metering systems. Electrical Engineering 2017, 99, 1417 -1428.

AMA Style

Dávid Kaprál, Peter Braciník, Marek Roch, Marek Höger. Optimization of distribution network operation based on data from smart metering systems. Electrical Engineering. 2017; 99 (4):1417-1428.

Chicago/Turabian Style

Dávid Kaprál; Peter Braciník; Marek Roch; Marek Höger. 2017. "Optimization of distribution network operation based on data from smart metering systems." Electrical Engineering 99, no. 4: 1417-1428.

Original paper
Published: 27 July 2017 in Electrical Engineering
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The paper presents an operation and frequency control in a small smart grid during overfrequencies. The studied grid consists of a photovoltaic power plant representing a distributed generation, a conventional source represented by a small synchronous generator with the speed controller and a load. The frequency control defined by a recent ENTSO-E Network Code for generating units of type B is applied on the photovoltaic power plant operation. Moreover, requirements of an ongoing distributed generation retrofit program are applied too. An influence of applied restrictions on frequency changes and a smart grid power balance is studied. A special attention is paid to the application of a limited frequency sensitive mode for overfrequency to the photovoltaic power plant operation. Its application to new as well as already installed distributed generation should help to reduce its impact on network operation at overfrequencies. Unfortunately, these requirements seem to be a dangerous tool, which will postpone the application of a smart grid concept to real distribution networks. That is because they suppress the possibility to adjust the active power in the smart grid at overfrequencies lower than 50.2 Hz. And thus, they go against the basic principles and expected advantages of smart grids.

ACS Style

Peter Bracinik; Martina Latkova; Juraj Altus. Retrofit of distributed generation vs. frequency control in smart grids at overfrequency. Electrical Engineering 2017, 99, 1403 -1415.

AMA Style

Peter Bracinik, Martina Latkova, Juraj Altus. Retrofit of distributed generation vs. frequency control in smart grids at overfrequency. Electrical Engineering. 2017; 99 (4):1403-1415.

Chicago/Turabian Style

Peter Bracinik; Martina Latkova; Juraj Altus. 2017. "Retrofit of distributed generation vs. frequency control in smart grids at overfrequency." Electrical Engineering 99, no. 4: 1403-1415.

Book chapter
Published: 09 November 2011 in Renewable Energy - Trends and Applications
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ACS Style

Juraj Altus; Michal Pokorný; Peter Bracinik. Renewable Energy Sources vs Control of Slovak Electric Power System. Renewable Energy - Trends and Applications 2011, 1 .

AMA Style

Juraj Altus, Michal Pokorný, Peter Bracinik. Renewable Energy Sources vs Control of Slovak Electric Power System. Renewable Energy - Trends and Applications. 2011; ():1.

Chicago/Turabian Style

Juraj Altus; Michal Pokorný; Peter Bracinik. 2011. "Renewable Energy Sources vs Control of Slovak Electric Power System." Renewable Energy - Trends and Applications , no. : 1.