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检索条件"机构=Electrical Engineering and Computing Systems"

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QEdgeProxy: QoS-Aware Load Balancing for IoT Services in the computing Continuum 8

QEdgeProxy: QoS-Aware Load Balancing for IoT Services in the...

引用

8th IEEE International Conference on Edge computing and Communications, EDGE 2024

作者： Cilic, Ivan Jukanovic, Valentin Zarko, Ivana Podnar Frangoudis, Pantelis Dustdar, Schahram University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia Distributed Systems Group TU Wien Vienna Austria

ISBN: (纸本)9798350368499

While various service orchestration aspects within computing Continuum (CC) systems have been extensively addressed, including service placement, replication, and scheduling, an open challenge lies in ensuring uninterrupted data delivery from IoT devices to running service instances in this dynamic environment, while adhering to specific Quality of Service (QoS) requirements and balancing the load on service instances. To address this challenge, we introduce QEdgeProxy, an adaptive and QoS-aware load balancing framework specifically designed for routing client requests to appropriate IoT service instances in the CC. QEdgeProxy integrates naturally within Kubernetes, adapts to changes in dynamic environments, and manages to seamlessly deliver data to IoT service instances while consistently meeting QoS requirements and effectively distributing load across them. This is verified by extensive experiments over a realistic K3s cluster with instance failures and network variability, where QEdgeProxy outperforms both Kubernetes built-in mechanisms and a state-of-the-art solution, while introducing minimal computational overhead. © 2024 IEEE.

关键词： Edge computing

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Control Aspects in Programming by Demonstation for Robotic Deep- Micro- Hole Drilling 32

Control Aspects in Programming by Demonstation for Robotic D...

引用

32nd Mediterranean Conference on Control and Automation, MED 2024

作者： Maric, Bruno Petric, Frano Orsag, Matko University of Zagreb LARICS Laboratory for Robotics and Intelligent Control Systems Faculty of Electrical Engineering and Computing Zagreb10000 Croatia

ISBN: (纸本)9798350395440

This paper explores control aspects in a collab-orative robotic system designed to replicate human operators' drilling skills in deep- micro- hole tasks, focusing on the glass-container mould industry. To replicate human performance, we develop a single-DOF Impedance-based drill controller for a standard industrial position-controlled robot, enhancing safe and smooth interactions between the drill bit and the mould. To address high feed rates observed in worker demonstrations and prevent bit breaks, we focus on minimizing non-axial motion during drilling on an off-the-shelf available industrial manipulator KUKA KR 10. This involves analyzing the impact of joint dynamics on drill motion and designing a control system for the robot's low-level control to achieve axial drill motion. We show that the proposed joint control system that takes into account relationship between joint and tool dynamics outperforms available robot low-level control in minimizing non-axial motion, leading to the robot being able to outperform the human in deep- micro- hole drilling. © 2024 IEEE.

关键词： Molds

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Vehicle Routing Problem Considering Electric Vehicle Battery Consumption

Vehicle Routing Problem Considering Electric Vehicle Battery...

引用

2023 International Conference on electrical, Computer, Communications and Mechatronics engineering, ICECCME 2023

作者： Perić, Nikica Begović, Slaven Muniappan, Mohan Lešić, Vinko University of Zagreb Laboratory for Renewable Energy Systems Faculty of Electrical Engineering and Computing Zagreb Croatia

ISBN: (纸本)9798350322972

Delivery transport is one of the main drives of the global economy and a major oil consumer. Calculation of optimal routes is an everlasting effort to increase the efficiency of the sector. With the rising trend of electric vehicles, the sector is exploring this revolutionary alternative. This paper presents a vehicle routing problem optimized with the information of delivery-dependent battery consumption, depending on road conditions and cargo. A mathematical model of the vehicle is derived, encompassing the information of mechanical and electrical aspects. Further simplification is introduced with statistical analysis of typical driving cycles in the considered environments. Finally, the on-site road conditions are exploited to have a simple, yet sufficiently accurate information on the battery capacity at every point of the delivery process. The predictive vehicle routing algorithm is applied for the realistic case study and a comparison of electric and conventional diesel vehicles is performed, additionally compared to the current retail data provider. Results show promising monetary costs reductions of up to 80% in various cases, outlying the potential of the new technology and optimization algorithms. © 2023 IEEE.

关键词： Vehicle routing

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Distributed Parametric Model Predictive Control of Street Lighting

Distributed Parametric Model Predictive Control of Street Li...

引用

2023 International Conference on electrical, Computer, Communications and Mechatronics engineering, ICECCME 2023

作者： Shaheen, Husam I. Gapit, Marina Martinovic, Ana Lesic, Vinko University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Renewable Energy Systems Zagreb Croatia

ISBN: (纸本)9798350322972

Designing a distributed Model Predictive Control (MPC) system for street lighting is characterized by optimization computational complexity, communication burden, lack of tailored reference setpoint of each lamp, etc. This paper proposes a distributed-MPC approach for street lighting with an adaptive dimming profile. The street is first divided into zones and each zone may contain one or more lamps. The adaptive dimming profile is generated within a simulation environment based on the local data of weather, pedestrian, traffic, and original dimming profile. Each zone has its own MPC controller which calculates optimal lighting control actions, and it may have its own reference setpoint. These zones, and thus the controllers, communicate with each other mutually and iteratively toward a joint lighting energy efficiency goal of the whole street. Only essential data is transmitted to the central controller. To verify the validity and effectiveness of the proposed approach, a one year simulation is conducted using MATLAB/Simulink environment. Simulation results show that the proposed distributed-MPC algorithm can save up to 34.85% of the operating costs. The results also showed that the proposed algorithm can achieve a good performance of the whole system with limited burden of communications. © 2023 IEEE.

关键词： Controllers

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Structural loads reduction in wind turbines via set-based control

Structural loads reduction in wind turbines via set-based co...

引用

2023 IEEE International Conference on Industrial Technology, ICIT 2023

作者： Grabic, Ivan Vasak, Mario Laboratory for Renewable Energy Systems University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia

ISBN: (纸本)9798350336504

The paper is focussed on set-based correction of the wind turbine controls in order to evade high mechanical loads on structural components of a wind turbine during transients. A set in the state space of the wind turbine model is constructed where all accounted mechanical loads are within the prescribed limits. The approach is universal in a way that mechanical loads on different components, which are expressed as functions of the wind turbine states and inputs, can be blended together in that set description. A procedure is proposed to determine a non-conservative polytopic under-approximation of the mentioned set. Following that, a controlled invariant set methodology is used to compute a controlled invariant subset of the polytopic set. It is applied in on-line controls for a minimalistic correction of outputs of any wind turbine control algorithm that assures all the observed mechanical loads on different components are within boundaries. The approach is illustrated for mechanical loads on the axle pin and controls in an operating area above the nominal wind speed. © 2023 IEEE.

关键词： Wind turbines

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Incorporating a High-speed Camera in the Lightning Current Measurement System for Wind Turbines 4

Incorporating a High-speed Camera in the Lightning Current M...

引用

4th International Conference on Smart Grid Metrology, SMAGRIMET 2023

作者： Vukovic, Franjo Milardic, Viktor Filipovic-Grcic, Bozidar Stipetic, Nina Franc, Bojan Milos, Dominik University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9798350323597

A lightning current measurement system for wind turbines was developed and tested in the High Voltage Laboratory at the Faculty of electrical engineering and computing, University of Zagreb, to determine actual distributions of lightning current parameters in a particular wind turbine area. The output of the measurement system is a waveform of lightning current. The measurement system consists of two current sensors with different frequency and amplitude ranges and a real-Time controller with two digitizers and a GPS module. The current sensors are Rogowski coils connected to integrators with coaxial cables. The prototype was installed on a wind turbine in a high winter lightning activity area. The current stage of development involves integrating the high-speed camera into the prototype measurement system to obtain the visual confirmation of the waveform measurements and help categorize lightning strikes into downward or upward strikes. The camera control application was developed in LabVIEW. The camera was set to trigger by the real-Time controller. Also, a redundant trigger occurs when there is a change in motion in the camera frame in case the prototype measurement system fails to register a lightning strike and therefore fails to send a trigger signal to the camera. The camera control application was tested in the High Voltage Laboratory by recording a flashover in a spark gap and a flashover on the insulator. © 2023 IEEE.

关键词： High speed cameras

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Quantitative Analysis of Regression-Based Temperature Dynamics Models for Households with A/C Units Subject to Unknown Disturbances 5

Quantitative Analysis of Regression-Based Temperature Dynami...

引用

5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2023

作者： Hure, Nikola Vasak, Mario University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Renewable Energy Systems Zagreb Croatia

ISBN: (纸本)9798350337525

This paper focuses on the identification of thermodynamic models for temperature prediction in households. The proposed temperature dynamics model falls under the class of Linear Time-Invariant (LTI) models, making it suitable for model predictive control synthesis. However, the presence of significant and variable thermal disturbances in households adds complexity to the identification process. The performance of various prediction error methods, such as ARX, ARARMAX, and BJ models, along with simplified models incorporating persistent disturbance excitation, is analyzed. The findings highlight the substantial impact of unknown disturbances on temperature predictions, emphasizing the crucial need for accurate prediction of these disturbances for effective household heating and cooling planning. The identification and evaluation of model performance measures are conducted using two months of experimental data collected from five households. This study contributes to understanding of the significance of addressing unknown disturbances and variability in thermodynamic model identification for temperature prediction. © 2023 IEEE.

关键词： Model predictive control

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Prediction of Aggregated EV Representation Using XGBoost and LightGBM 58

Prediction of Aggregated EV Representation Using XGBoost and...

引用

58th International Universities Power engineering Conference, UPEC 2023

作者： Kovacevic, Marko Novak, Hrvoje Vasak, Mario University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Renewable Energy Systems Zagreb Croatia

ISBN: (纸本)9798350316834

electrical vehicles (EVs) presence forecasting on a parking lot with charging points is critical for charging schedule optimisation with providing demand response to the power grid. The paper leans on our previous work where we proposed innovative aggregated representation of EV population. The historical dataset is transformed in the aggregated representation, and it is analysed and used for training of two gradient boosting models in order to forecast future EV population. The predictions are generated on 2 hours forecasting horizon. Achieved accuracy is compared to week-of-day average and persistence. © 2023 IEEE.

关键词： Forecasting

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Photovoltaic and Wind Power Plants Production Profiles Generation from Scarce Data 32

Photovoltaic and Wind Power Plants Production Profiles Gener...

引用

32nd IEEE International Symposium on Industrial Electronics, ISIE 2023

作者： Karneluti, Antonio Rukavina, Filip Vašak, Mario University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Renewable Energy Systems Zagreb Croatia

ISBN: (纸本)9798350399714

To perform optimal parametrization and scheduling of renewable energy systems or systems connected to them, realistic yearly renewable energy production profiles are necessary. Such generation profiles are often unobtainable in public databases of existing renewable energy sources used for automated analysis of possibilities for the upgrade of green energy infrastructures via parametrization and scheduling tools. This paper presents a method for scaling of generic photovoltaic and wind farm production profiles to adapt them for a particular site. Annual energy production and installed power are the only necessary parameters to obtain the site-adapted time series of energy production. For the case of photovoltaic production, the approach is extended to also include the daylight duration linked to the provided geo-location. © 2023 IEEE.

关键词： Wind power

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Line Parameter and Switching State Identification Method for Radial and Meshed Distribution Networks

Line Parameter and Switching State Identification Method for...

引用

2023 International Conference on Smart Energy systems and Technologies, SEST 2023

作者： Matijasevic, Terezija Antic, Tomislav Capuder, Tomislav University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9798350397901

Current major changes in distribution systems require better monitoring from energy utilities to prevent possible issues in the form of deterioration of power quality and stability, voltage oscillations, and many others. However, distribution networks are still characterized by their limited observability, where information such as switching state and line parameters are not known. This constraint further complicates analyses concerning the observations of distribution networks. Therefore, this paper proposes a methodology that, as an answer to these problems, offers machine learning-based algorithms that aim to determine the switching state and line parameters of distribution networks using only collected historical Advanced Metering Infrastructure (AMI) measurements. This model was tested on the radial IEEE 33-bus benchmark system and both meshed and radial real-world distribution networks. The results demonstrate that the proposed method can provide an accurate estimation of line parameters and network topology relying only on voltage magnitudes and active and reactive power measurements. © 2023 IEEE.

关键词： Power quality

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