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1
Content available Planning of the optimal performance of household photovoltaics and battery storage within consideration of investment return
Martinko Dávid, Medveď Dušan, Kolcun Michal, Mazur Damian
Przegląd Elektrotechniczny
|
2024
|
R. 100, nr 1
105--111
EN
This paper provides the assessment of the profitability of investing in household photovoltaic system in combination with a battery storage, either physical or virtual, and the optimal choice of the combination of the ratio of the power of photovoltaic system and the battery storage with respect to the return on investment in local conditions and pricing policies in Eastern Slovakia.
PL
W artykule przedstawiono ocenę opłacalności inwestycji w domowy system fotowoltaiczny w połączeniu z magazynem baterii, fizycznym lub wirtualnym, oraz optymalny wybór kombinacji stosunku mocy systemu fotowoltaicznego i magazynu baterii w odniesieniu do zwrotu z inwestycji w lokalnych warunkach i polityce cenowej we wschodniej Słowacji.
2
Content available CNC machine control using deep reinforcement learning
Kalandyk Dawid, Kwiatkowski Bogdan, Mazur Damian
Bulletin of the Polish Academy of Sciences. Technical Sciences
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2024
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Vol. 72, nr 3
art. no. e148940
EN
Optimization of industrial processes such as manufacturing or processing of specific materials constitutes a point of interest for many researchers, and its application can lead not only to speeding up the processes in question, but also to reducing the energy cost incurred during them. This article presents a novel approach to optimizing the spindle motion of a computer numeric control (CNC) machine. The proposed solution is to use deep learning with reinforcement to map the performance of the reference points realization optimization (RPRO) algorithm used in the industry. A detailed study was conducted to see how well the proposed method performs the targeted task. In addition, the influence of a number of different factors and hyperparameters of the learning process on the performance of the trained agent was investigated. The proposed solution achieved very good results, not only satisfactorily replicating the performance of the benchmark algorithm, but also speeding up the machining process and providing significantly higher accuracy.
3
Content available An off-line application that determines the maximum accuracy of the realization of reference points from G-code for given parameters of CNC machine dynamics
Kwiatkowski Bogdan, Kwater Tadeusz, Mazur Damian, Bartman Jacek
Bulletin of the Polish Academy of Sciences. Technical Sciences
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2024
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Vol. 72, nr 1
art. no. e147345
EN
The paper presents an off-line application that determines the maximum accuracy of the reference points for the given dynamics parameters of a CNC machine. These parameters are maximum speed, acceleration, and JERK. The JERK parameter determines the rate of change of acceleration. These parameters are defined for each working axis of the machine. The main achievement of the algorithm proposed in the article is the determination of the smallest error specified for each reference point resulting from the implemented G-code for the considered dynamic parameters of the CNC machine. The solutions to this problem in industry consider the improvement in the accuracy of hitting the reference points, but they do not provide information on whether the obtained solution is optimal for such parameters of the machine dynamics. The algorithm makes the accuracy dependent on the adopted dynamic parameters of the machine and the parameters of the PLC controller used in the CNC machine.
4
Content available Increasing photovoltaic self-consumption for objects using domestic hot water systems
Shavolkin Olexandr, Shvedchykova Iryna, Kolcun Michal, Dusan Medved, Mazur Damian, Kwiatkowski Bogdan
Archives of Electrical Engineering
|
2024
|
Vol. 73, nr 3
573--593
EN
The technique of estimating the expected decrease in electricity consumption from the grid and using PV energy for the taken load schedule based on archival data for 5 years is refined. With full self-consumption (SC), the reduction of consumption from the grid can be increased by 9.5%–30.7% for a year according to the rated PV power. Consumption should increase when PV generation exceeds a certain value. A discrete time control of the power of an electric storage boiler (ESB) is proposed based on the deviation of the storage battery (SB) state of charge from a given schedule with a heating concentration during hours of high PV generation. In the considered application, it is possible to increase SC by up to 21%. Reducing the load in the evening allows us to use SB energy to reduce consumption from the grid at night. The possibility of complete photovoltaic SC when the ESB is used with an air conditioner is substantiated. Limitations for air conditioner energy consumption according to PV generation are determined. The system’s 24h model of energy processes is supplemented with a thermal model. The standard use of ESB with water temperature maintenance was also considered for comparison. ESB power control allows you to reduce daily energy consumption from the grid by 1.7–2 times. When combining an adjustable ESB with an air conditioner, it is possible to reduce consumption from the grid by 1.466–1.558 times at minimum and increase consumption from the grid by 2–5% at maximum air conditioner consumption.
5
Content available Electric vehicle charging management system in the industrial zone
Bena Lubomir, Tailor Rikin, Medved Dusan, Mazur Damian
Archives of Electrical Engineering
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2024
|
Vol. 73, nr 2
433--450
EN
The transportation sector is undergoing a profound transformation, shifting from fossil fuel reliance to electric and hybrid semi-electric alternatives. In response, European countries are implementing novel concepts like electrified highways for trucks and buses, bridging the gap between traditional and electric mobility. This paper centers on the management of electric vehicle (EV) charging infrastructure within industrial zones, crucial nodes for charging networks due to their concentrated economic activity and vehicular movement. The study delves into optimal strategies for deploying charging stations in these zones, considering factors such as station placement, capacity planning, and integration with smart grids to ensure efficient and accessible EV charging. Moreover, the research extends its focus to the integration of vehicle-to-grid (V2G) and grid-to-vehicle (G2V) technologies, illustrating their potential within industrial zones. In our research, we have developed algorithms tailored for the infrastructure of industrial zones, focusing on the integration of storage systems and the charging and discharging dynamics of electric vehicles (EVs). Our case study, supported by numerical simulations, illustrates the outcomes of a 24-hour timeframe, where 126 vehicles were charged, and 134 were discharged. The results provide a comprehensive view of how the grid-maintained balance throughout these operations, ensuring that industrial facilities received the required power to fulfill their operational demands.
6
Content available Calculating G-code for CNC machine using the Mamdani fuzzy logic inference system
Kalandyk Dawid, Kwiatkowski Bogdan, Mazur Damian
Archives of Control Sciences
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2024
|
Vol. 34, No. 3
501--511
EN
The widespread desire to automate the CNC machine control process and optimize it is leading to the development of new algorithms. The article presents both a novel approach to this task based on a fuzzy decision-making system as well as an evaluation of the proposed solution on a large database containing data from multiple machining processes and a comparison with the Reference Points Realization Optimization (RPRO) algorithm used in industry. In addition to achieving the intended accuracy of the machining process, the presented system is also easily interpretable for the expert operating the machine. It is also possible to manipulate the presented system easily and shape it according to specific needs.
7
Content available Navigation and mapping of closed spaces with a mobile robot and RFID grid
Pawłowicz Bartosz, Skoczylas Mariusz, Trybus Bartosz, Salach Mateusz, Hubacz Marcin, Mazur Damian
Archives of Control Sciences
|
2023
|
Vol. 33, No. 4
737--759
EN
This article concerns the use of an integrated RFID system with a mobile robot for the navigation and mapping of closed spaces. The architecture of a prototype mobile robot equipped with a set of RFID readers that performs the mapping functions is described. Laboratory tests of the robot have been carried out using a test stand equipped with a grid of appropriately programmed RFID transponders. A simulation model of the effectiveness of transponder reading by the robot has been prepared. The conclusions from measurements and tests are discussed, and methods for improving the solution are proposed.
8
Content available remote Analiza zborności parametrów odbiorników energii elektrycznej w kontekście bezinwazyjnej identyfikacji urządzeń
Bartman Jacek, Kwater Tadeusz, Kwiatkowski Bogdan, Mazur Damian
Przegląd Elektrotechniczny
|
2022
|
R. 98, nr 11
265--268
PL
Bezinwazyjny monitoring obciążenia (Non-IntrusiveLoad Monitoring - NILM) jest systemem wspomagającym decyzje ukierunkowane na zmniejszenie zużycia energii elektrycznej w gospodarstwach domowych i obiektach komercyjnych. Głównym zadaniem w tym systemie jest identyfikacja urządzeń elektrycznych wykorzystująca analizę zdarzeń występujących w instalacji domowej lub poprzez analizę jej stanu ustalonego. W przypadku analizy stanu ustalonego istotny jest dobór parametrów elektrycznych, które w jednoznaczny sposób opisują pracujące urządzenia. W pracy przedstawiono analizę szerokiego spektrum parametrów elektrycznych (prąd, napięcie, moce oraz harmoniczne tych sygnałów, THD, CF, PF) w celu wskazania, które z nich charakteryzują się największą stabilnością w obrębie danego urządzenia oraz jak największą separowalnością wobec innych urządzeń. Tak wybrane parametry w kolejnym kroku wykorzystano do identyfikacji pracujących urządzeń elektrycznych.
EN
The main objective of Non-Intrusive Load Monitoring (NILM) electrical appliance identification is to reduce residential and commercial electricity consumption. This identification can be based on the analysis of events occurring in the home system or by analyzing its steady state. In the case of steady-state analysis, it is necessary to select electrical parameters that uniquely describe the electrical equipment in operation. This paper presents an analysis of a wide spectrum of electrical parameters (current, voltage, powers and harmonics of these signals, THD, CF, PF) in order to indicate those that are characterized by the greatest consistency within a given device and the greatest separability from other devices. Parameters selected in this way were used in the next step to identify working electrical devices.
9
Content available Improved Matlab/Simulink model of dual three-phase fractional slot and concentrated winding PM motor for EV applied brushless DC drive
Shchur Ihor, Mazur Damian, Makarchuk Oleksandr, Bilyakovskyy Ihor, Turkovskyi Valentyn, Kwiatkowski Bogdan, Kalandyk Dawid
Archives of Control Sciences
|
2022
|
Vol. 32, No. 4
677--707
EN
The development of electric vehicles (EV) necessitates the search for new solutions for configuring powertrain systems to increase reliability and efficiency. The modularity of power supplies, converters, and electrical machines is one such solution. Among modular electric machines, dual three-phase (DTP) motors are the most common in high-power drives. To simplify low and medium power drives for EVs based on DTP PM motor, it is proposed to use a BLDC drive and machine of the simplest design - with concentrated windings and surface mounted PMs on the rotor. To study and create such drives, an improved mathematical model of DTP PM machine was developed in this work. It is based on the results of 2D FEM modeling of the magnetic field. According to the developed method, the dependences of the self and mutual inductances between all phase windings from the angle of rotor position and loads of different motor modulus were determined. Based on these inductances, the circuit computer model of DTP PM machine was created in the Matlab/Simulink. It has a high simulation speed and a high level of adequacy, which is confirmed by experimental studies with a mock-up sample of the electric drive system.
10
Content available The algorithm of adaptive determination of amplification of the PD filter estimating object state on the basis of signal measurable on-line
Kwater Tadeusz, Hawro Przemysław, Bartman Jacek, Mazur Damian
Archives of Control Sciences
|
2021
|
Vol. 31, No. 1
129--143
EN
The article presents the algorithm that enables adaptive determination of the amplification coefficient in the filter equation provided by Kalman. The method makes use of an estimation error, which was defined for this purpose, and its derivative to determine the direction of correction changes of the gain vector. This eliminates the necessity to solve Riccati equation, which causes reduction of the method computational complexity. The experimental studies carried out using the proposed approach relate to the estimation of state coordinates describing river pollution using the BOD (biochemical oxygen demand) and DO (dissolved oxygen) indicators).The acquired results indicate that the suggested method does better estimations than the Kalman filter. Two indicators were used to measure the quality of estimates: the Root Mean Squared Error (RMSE) and the Mean Percentage Error (MPE).
11
Content available Analiza wpływu technologii oraz metod przesyłania hologramu na parametry i efekty transmisji
Mazur Krzysztof, Mazur Damian
Journal of Computer Sciences Institute
|
2019
|
Vol. 12
220--225
PL
Celem artykułu jest porównanie i analiza wpływu technologii i technik przesyłania danych, pod kątem wyświetlania obrazu przy pomocy ostrosłupa holograficznego. Oceniając użyteczność rozwiązania pod uwagę będą brane parametry: czas przesyłania klatek obrazu, użycie parametrów fizycznych maszyny i parametry pracy Wirtualnej Maszyny Javy.
EN
The aim of the article is to compare and analyze the impact of technologies and data transfer techniques in term of displaying the image using a holographic pyramid. When assessing the usability of the solution, the following parameters will be taken into account: time of image transfer, use of physical parameters of the machine and parameters of the Java Virtual Machine.
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