A5064168414- Multilevel Inverters and Converters
- Advanced DC-DC Converters
- Silicon Carbide Semiconductor Technologies
- Microgrid Control and Optimization
- Radiation Effects in Electronics
- HVDC Systems and Fault Protection
- Advanced Battery Technologies Research
- Sensorless Control of Electric Motors
- Real-time simulation and control systems
- Electric Motor Design and Analysis
- Formal Methods in Verification
- Water Quality Monitoring and Analysis
- Smart Grid Security and Resilience
- Smart Grid Energy Management
- Magnetic Properties and Applications
- Smart Grid and Power Systems
- Photovoltaic System Optimization Techniques
- Iterative Learning Control Systems
- Islanding Detection in Power Systems
- VLSI and Analog Circuit Testing
- Magnetic Bearings and Levitation Dynamics
- Power System Optimization and Stability
- Electromagnetic Compatibility and Noise Suppression
- Induction Heating and Inverter Technology
- Elevator Systems and Control
Aalborg University
2017-2024
ORCID
2021
University of Zagreb
2015-2019
This paper proposes the use of an artificial neural network (ANN) for solving one ongoing research challenges in finite set-model predictive control (FSMPC) power electronics converters, i.e., automated selection weighting factors cost function. The first step this approach is to simulate a detailed converter circuit model or run experiments numerous times using different factor combinations. key performance metrics [e.g., average switching frequency (f <sub...
The application of model predictive control in electrical drives has been studied extensively the past decade. This article presents what authors consider most relevant contributions published last years, mainly focusing on three issues: weighting factor calculation when multiple objectives are utilized cost function, current/torque harmonic distortion optimization power converter switching frequency is reduced, and robustness improvement under parameters uncertainties. Therefore, this aims...
Model-predictive control (MPC) has emerged as a promising method in power electronics, particularly for multiobjective problems such multilevel inverter (MLI) applications. Over the past two decades, improving performance of MPC and tackling its technical challenges, computational load, modeling accuracy, cost function design, weighting factor selection, have attracted great interest electronics. This article aims to discuss current state strategies MLI applications, describing significance...
The use of artificial neural networks (ANNs) for the selection weighting factors in cost function finite-set model-predictive control (FS-MPC) algorithm can speed up without imposing additional computational burden to and ensure that optimum weights are selected specific application. In this article, ANN-based design process is used predictive torque (PTC) a motor drive. process, reference flux value obtained using different fitness functions. results show operating conditions drive will...
In the past years, finite-set model predictive control (FS-MPC) has received a lot of attention in power electronics field. Due to very simple inclusion objectives and straightforward design, it been adopted different converter topologies. However, computational burden often imposes limitations implementation if multistep predictions are deployed or/and multilevel converters with many possible switching states used. To remove these limitations, we propose imitate controller. It is important...
Finite-set model predictive control (FS-MPC) as current (PCC) is considered an exciting option for the stator of multiphase machines due to their flexibility and easy inclusion constraints. The weighting factors (WFs) PCC must be tuned variables interest, such machine losses <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$x-y$ </tex-math></inline-formula> currents, typically performed by trial-and-error...
A new approach to performance validation of finite control set model predictive (FCS-MPC) regulated power electronics converters is presented in this paper: statistical checking (SMC). SMC an established method used various sectors industry provide solutions problems that are beyond the abilities classical formal techniques. The simple for implementation and requires only operational system can be simulated checked against properties. will on a standard two-level voltage source converter by...
Active thermal control has been introduced to regulate the steady state and reduce transient thermal-mechanical stress in power electronic modules. Specifically, it can equally distribute temperature among devices, thereby better distributing a set of devices reducing failure probability most thermally-stressed devices. This is great importance for multilevel topologies particular Neutral Point Clamped (NPC) topologies, which have an inherent unbalance same phase. In hybrid structures,...
Monte Carlo (MC) simulation has been widely used for reliability assessment of power electronic systems. In this approach, multiple simulations are carried out during the lifetime estimation components in converter, where parameter variations considered. previous mission-profile based methods, dynamic thermal stress profiles usually converted into a set static parameters. However, simplification may introduce certain uncertainty assessment, since parameters not be able to accurately...
Finite control set model predictive (FCS-MPC) has gained increasing popularity as an emerging strategy for electrical drive systems. However, it is still a challenging task to optimize weighting parameters, multiple objectives are involved in the customized cost function. A cooperative decision-making approach FCS-MPC proposed this article, solve optimization problems with manifold objectives. By splitting function, problem underlying multiobjective separated into series of decomposed...
Optimum design of the weighting factors for a multi-objective cost function is one major challenges Finite-Set Model Predictive Control (FS-MPC) operated power electronic converters. Especially multi-level topologies, where multi-objectives must be included in to ensure safe operation converter, complexity optimization problem rapidly growing with each new objective function. In this paper approach three level neutral point clamped (NPC) converter using artificial neural network (ANN)...
Pulse-width modulation (PWM) method plays an important role to ensure high efficiency and reliability of the three-level neutral-point-clamped (NPC) inverter. However, a comparison PWM methods in previous research has only considered power loss devices, while other reliability-critical components such as dc-link capacitors are not taken into account analysis. In this paper, impact on NPC inverters is investigated by considering capacitor their thermal stress. The evaluation results indicate...
This article presents the modeling and verification of supervisory energy-management systems (EMSs) for microgrids using timed automata (TA) a formal approach. The EMS plays an essential role in managing power flow among different components microgrid system its safe reliable operation. is based on predefined invariants with allowable nonallowable operating modes, which are conditions that do not change over time. failure could have severe effects functionality, highlights importance during...
This paper proposes a learning-based finite control set model predictive (FCS-MPC) to improve the performance of DC-DC buck converters interfaced with constant power loads in DC microgrid (DC-MG). An approach based on deep reinforcement learning (DRL) is presented address one ongoing challenges FCS-MPC converters, i.e., optimal design weighting coefficients appearing objective function for each converter. A deterministic policy gradient method employed learn coefficient policy. Markov...
The paper presents the existing verification methods for control algorithms in power electronics systems, including application of model checking techniques. In industry, most frequently used are simulations and experiments; however, they have to be performed manually do not give a 100% confidence that system will operate correctly all situations. Here we show recent advancements performance assessment systems with usage formal methods. Symbolic can achieve guarantee satisfies user-defined...
The three level neutral-point clamped (3L-NPC) topology is one of the most widely used multilevel topologies in low and medium voltage applications also commercialized topologies. Although it offers many benefits compared to conventional two topology, suffers from a considerable unequal loss distribution among inner outer switches clamping diodes. To solve this problem, we are proposing control algorithm based on finite set model predictive (FCS-MPC) that can provide more balanced stress...
Statistical model checking (SMC) is used as a method for examining system behavior in all possible scenarios, and it has been successfully implemented embedded automotive systems, sensor networks, aeronautics communication systems solving problems that were beyond the abilities of traditional formal techniques. Using this approach, simulated finite number times, and, afterward, samples are hypothesis testing. We will demonstrate how area application can also be extended to power electronics...
SiC devices have recently been demonstrated and utilized in many different multilevel topologies. Active neutral point clamped (ANPC) converter is one of those topologies, where the use can significantly increase power density reduce output filter size. In order to achieve this, control algorithm needs be tailored utilize advantages each device technology. Therefore, strategies which could produce optimum results for Si based ANPC might not choice hybrid configuration, are mixed. this paper,...
This paper proposed a probabilistic framework that could be used for the sensitivity assessment of grid-connected voltage source converters (VSCs), where uncertainties in grid short circuit ratio (SCR) and operating point conditions, as well control-loop interactions, were considered. The method tried to broaden available knowledge on small-signal stability analysis VSCs provide view this subject. It considered probability different operational conditions order obtain less conservatism more...
The design for reliability has gained a lot of attention in power electronic community the past few years. aim is to optimize order achieve desired goals with minimum margins. However, most applications, there are stressing conditions, which result high stress and therefore require higher As an opportunity, adapting control converters equally redistribute devices can reduce conditions also This great importance multilevel topologies particular Active Neutral Point Clamped (ANPC) topology....
Since the introduction of finite control set model predictive (FCS-MPC) in power electronics algorithm has been missing an important aspect that would speed up its implementation industry: a simple method to verify performance. This paper proposes use statistical checking (SMC) for performance evaluation applied converters. SMC is implement, intuitive and it requires only operational system can be simulated checked against properties. Device under test application this standard 2-level...
Active neutral point clamped (ANPC) converter was developed in order to improve the performances of (NPC) terms semiconductor loss distribution. Loss distribution depends primarily on modulation type used for generation switching signals, therefore it is important find appropriate that will allow most uniform In analyze behavior grid connected ANPC a simulation model created Plexim blockset Plecs Matlab/Simulink. Through simulations seven PWM modulations are analyzed different operating...
In this paper, a complete small signal model of two networked microgrids (NMGs) is provided, which can be used in the stability analysis, margin derivation and controller design. This validated by comparing it with simulated NMGs using Prony analysis. method, modes, calculated eigenvalue analysis contributing to particular state variable, are identified participation matrix compared natural frequencies its waveform. The variable waveform locally measured from SimPowerSystems environment...
In mission-profile based reliability assessments, it is a common method to calculate the static parameters that represent thermal stress of power electronic converters. These are afterwards used in Monte Carlo (MC) simulations for estimating expected lifetime components converters taking into account variations. However, do not always real field operating conditions To overcome this limitation, two approaches introduce parameter variance implemented dynamic mission profile characteristics MC...