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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.
Martina Kajanova; Peter Bracinik. Definition of Discrete Choice Models of EV Owners Based on Different Socio-Demographic Aspects. Applied Sciences 2021, 11, 3679 .
AMA StyleMartina 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 StyleMartina Kajanova; Peter Bracinik. 2021. "Definition of Discrete Choice Models of EV Owners Based on Different Socio-Demographic Aspects." Applied Sciences 11, no. 8: 3679.
The paper deals with the decision-making process of the electric vehicle (EV) owners at the charging station. Firstly, the paper presents a theoretical basis for the definition of discrete choice systems. Consequently, the process of the stated preference survey design, used to obtain data about the EV owners’ decisions at the charging station, is presented. The SP survey consisted of 18 hypothetical scenarios and socio-demographic questions. The SP survey was carried out from July 2020 to October 2020, and 289 residents of Slovakia with an age higher than 18 (the threshold necessary for a driving license) have taken part. This results in a sample of 5192 different responses. Based on the obtained data, the EV owners’ behavior prediction model is defined and its parameters are estimated using the maximum likelihood estimation method and 90% of the sample data. Furthermore, the presented model is validated with the rest of the sample data and recommendations for future work are defined.
Martina Kajanova; Peter Bracinik; Pavol Belány. Analysis of the discrete choice model representing the electric vehicle owners’ behavior in Slovakia. Electrical Engineering 2021, 1 -11.
AMA StyleMartina Kajanova, Peter Bracinik, Pavol Belány. Analysis of the discrete choice model representing the electric vehicle owners’ behavior in Slovakia. Electrical Engineering. 2021; ():1-11.
Chicago/Turabian StyleMartina Kajanova; Peter Bracinik; Pavol Belány. 2021. "Analysis of the discrete choice model representing the electric vehicle owners’ behavior in Slovakia." Electrical Engineering , no. : 1-11.
The paper describes the finite state machines (FSM) approach in a microgrid’s distributed energy sources modeling. It defines FSM models for a small hydro power plant, a cogeneration unit and a photovoltaic power plant. A comparison of simulation results obtained by FSM models and purely dynamic simulations models, from an execution time point of view, is presented as well.
Martina Kajanova; Peter Bracinik; Marek Roch. Utilization of finite state machine approach for microgrid modeling. Electrical Engineering 2019, 102, 53 -63.
AMA StyleMartina Kajanova, Peter Bracinik, Marek Roch. Utilization of finite state machine approach for microgrid modeling. Electrical Engineering. 2019; 102 (1):53-63.
Chicago/Turabian StyleMartina Kajanova; Peter Bracinik; Marek Roch. 2019. "Utilization of finite state machine approach for microgrid modeling." Electrical Engineering 102, no. 1: 53-63.
The utilization of the electricity storage into batteries system is increasing. Most batteries are connected at the point in the network where the power of renewable energy sources is produced. These battery storage systems serve primarily to power electricity to households. They are most often used in cooperation with renewable energy sources, especially photovoltaic power plants. When installing renewable sources without using battery storage in distribution networks, there are several problems in the production of electricity from renewable sources. At a time of low power consumption and high electricity generation at the point of connection of renewable energy sources, a change in power flow occurs. The power generated from the sources flows into the distribution network or up to the superior network. If a distribution company installed battery storage at the point of connection, the power from renewable sources would not flow to the rest of the distribution system and would be stored on that distribution network node. Once the capacity size has been correctly determined at a given node, the distribution company could benefit from such solution. The distribution company could lease the capacity of the batteries to customers who have the renewable energy sources to store their produced energy or could cover part of the electricity consumption at the time of lack of production from the renewable energy sources. The paper deals with this issue, the location of battery storage is simulated on a standardized distribution network.
David Motyka; Martina Kajanova; Peter Bracinik; Marian Tomasov; Marek Roch. Utilization of the storage systems in a distribution system to balance the consumption. 2019 7th International Youth Conference on Energy (IYCE) 2019, 1 -4.
AMA StyleDavid Motyka, Martina Kajanova, Peter Bracinik, Marian Tomasov, Marek Roch. Utilization of the storage systems in a distribution system to balance the consumption. 2019 7th International Youth Conference on Energy (IYCE). 2019; ():1-4.
Chicago/Turabian StyleDavid Motyka; Martina Kajanova; Peter Bracinik; Marian Tomasov; Marek Roch. 2019. "Utilization of the storage systems in a distribution system to balance the consumption." 2019 7th International Youth Conference on Energy (IYCE) , no. : 1-4.
Marian Tomasov; Martina Kajanova; Peter Bracinik; David Motyka. Overview of Battery Models for Sustainable Power and Transport Applications. Transportation Research Procedia 2019, 40, 548 -555.
AMA StyleMarian Tomasov, Martina Kajanova, Peter Bracinik, David Motyka. Overview of Battery Models for Sustainable Power and Transport Applications. Transportation Research Procedia. 2019; 40 ():548-555.
Chicago/Turabian StyleMarian Tomasov; Martina Kajanova; Peter Bracinik; David Motyka. 2019. "Overview of Battery Models for Sustainable Power and Transport Applications." Transportation Research Procedia 40, no. : 548-555.
Marian Tomasov; David Motyka; Martina Kajanova; Peter Bracinik. Modelling effects of the distributed generation supporting e-mobility on the operation of the distribution power network. Transportation Research Procedia 2019, 40, 556 -563.
AMA StyleMarian Tomasov, David Motyka, Martina Kajanova, Peter Bracinik. Modelling effects of the distributed generation supporting e-mobility on the operation of the distribution power network. Transportation Research Procedia. 2019; 40 ():556-563.
Chicago/Turabian StyleMarian Tomasov; David Motyka; Martina Kajanova; Peter Bracinik. 2019. "Modelling effects of the distributed generation supporting e-mobility on the operation of the distribution power network." Transportation Research Procedia 40, no. : 556-563.
This paper deals with the issue of embedded generation in distribution networks. It describes an implementation of renewable energy sources and their impact on the power grid. The paper presents the use of slightly modified IEEE 13 Node Test Feeder created in programme GridLAB-D. The model uses real meteorological data to get more precise simulations results. Four scenarios with different share of renewable energy sources are simulated and then analysed. Simulation results were studied with respect to power overflows from medium to high voltage power network or from generation to the network.
David Motyka; Martina Kajanova; Peter Bracinik. The Impact of Embedded Generation on Distribution Grid Operation. 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) 2018, 360 -364.
AMA StyleDavid Motyka, Martina Kajanova, Peter Bracinik. The Impact of Embedded Generation on Distribution Grid Operation. 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA). 2018; ():360-364.
Chicago/Turabian StyleDavid Motyka; Martina Kajanova; Peter Bracinik. 2018. "The Impact of Embedded Generation on Distribution Grid Operation." 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) , no. : 360-364.