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Low-Speed Sensorless Control for Six-Phase PMSM Based on Magnetic Anisotropy

Transportation Research Procedia 2023年 74卷 892-899页

作者： Marek Furmanik Daniel Konvičný Pavol Rafajdus Department of power systems and electric drives Faculty of electrical engineering and information technology University of Zilina Slovakia

The paper presents a sensorless control technique for the low-speed region. The method is based on tracking of the six-phase permanent magnet synchronous machine (PMSM) saliencies with high-frequency (HF) signal injection. The six-phase system is an effective fault-tolerant propulsion for transport vehicles where the sensorless control can be utilized as the speed/position sensor backup. The machine has negligible geometrical saliencies, so the magnetic salience is excited utilizing the flux-producing component of the field-oriented control. The possibilities of HF injection and the demodulation processes for the whole six-phase system and one of the three-phase systems are examined. The sensorless control technique is verified experimentally on the six-phase PMSM with 30° displacement between two three-phase windings and the power of 1 kW.

关键词： Anisotropy High frequency injection Low-speed Multiphase machine Sensorless Six-phase machine

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Robust Switch Selection in Radial Distribution systems Using Combinatorial Optimization

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CSEE Journal of power and Energy systems 2022年第3期8卷 933-940页

作者： Hani Mavalizadeh Omid Homaee Reza Dashti Josep M.Guerrero Hassan Haes Alhelou Pierluigi Siano Fanavaran Moj Khatam Tehran 16844Iran School of Electrical Engineering Iran University of Science and TechnologyTehran 16844Iran School of Advanced Technologies Iran University of Science and TechnologyTehran 16844Iran Department of Energy Technology Aalborg UniversityAalborg 9220Denmark Department of Electrical Power Engineering Faculty of Mechanical and Electrical EngineeringTishreen UniversityLattakia 2230Syria Department of Management&Innovation Systems University of SalernoFisciano 84084Italy

Selecting the best type of equipment among available switches with different prices and reliability levels is a significant challenge in distribution system *** this paper,the optimal type of switches in a radial distribution system is selected by considering the total cost and reliability criterion and using the weighted augmented epsilon constraint method and combinatorial optimization.A new index is calculated to assess the robustness of each Pareto ***,for each failure,repair time is considered based on historical *** Carlo simulations are used to consider the switch failure uncertainty and fault repair time uncertainty in the *** proposed framework is applied to an RTBS Bus-2 test ***,the model is also applied to an industrial system to verify the proposed method’s excellent performance in larger practical engineering problems.

关键词： Combinatorial optimization Monte Carlo Simulation multi-objective optimization radial distribution system reliability robustness

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Convex Polar Second-Order Taylor Approximation of AC power Flows: A Unit Commitment Study

Convex Polar Second-Order Taylor Approximation of AC Power F...

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IEEE General Meeting power& Energy Society

作者： Hrvoje Pandzic Karlo Sepetanc Department of Energy and Power Systems Faculty of Electrical Engineering and Computing University of Zagreb

ISBN: (数字)9781665408233

ISBN: (纸本)9781665408240

Modern mixed-integer quadratic solvers generally handle binary variables more efficiently than nonlinear mixed-integer solvers. This is relevant to the power system operation models as the unit commitment formulations typically contain a large number of binary variables. This paper investigates how to achieve the accuracy level close to the one of the exact nonlinear models, but by utilising convex models and solvers. The presented unit commitment model is based on a Taylor-series expansion where both the voltage magnitude and angle are quadratically constrained. To achieve high accuracy, the model takes advantage of the meshed transmission network structure that enables replacement of the quadratic inequality constraints that cause constraint relaxation errors with the linear equality constraints. Quadratic constraints to be replaced as well as the operating point parameters are determined based on the presolve. The first presented case study validates the model's accuracy and the convergence of the iterative algorithm, while the second is a non-iterative full unit commitment problem. Unit commitment results show superior accuracy and similar computation times to the existing quadratic formulations on one hand and faster computation times than the exact nonlinear polar formulation on the other.

关键词： Computational modeling Voltage power systems Iterative methods Load flow Convergence

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An LLMS Remotely Controlled Experiment for Smart Hydro Energy Storage and Irrigation System powered by Photo-Voltaic Array and IoT

An LLMS Remotely Controlled Experiment for Smart Hydro Energ...

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2022 International Conference on Artificial Intelligence of Things, ICAIoT 2022

作者： El Zoghby, Helmy M. Hosny, Hadeer A. Hassan Elmesalawy, Mahmoud M. El-Haleem, Ahmed M. Abd Helwan University Faculty of Engineering Department of Electrical Power and Machines Engineering Department Cairo Egypt Helwan University Faculty of Engineering Computers and Systems Engineering Department Cairo Egypt Helwan University Faculty of Engineering Electronics and Communications Engineering Department Cairo Egypt

ISBN: (纸本)9798350396768

Many students all over the world have faced some educational issues due to the Covid-19 epidemic. As a consequence, many educational institutes focused on shifting to an E-learning system. This paper introduces a design and implementation steps of a remotely controlled experiment representing a smart hydro energy storage and irrigation system with monitoring capability using photovoltaic power and the Internet of Things (IoT). The experiment is running within the newly proposed Laboratory Learning Management System (LLMS). The remotely controlled experiment is a smart hydro energy storage and irrigation system, where the stored water during the daytime is used at night for smart irrigation of three different types of plants based on the moisture and temperature, in addition to the amount of water that the user sets for every area. In this experiment, during the daytime, the utilities are feeding from the solar panel and battery, but at night, the utilities are feeding from the battery or the hydro turbine that converts the water potential energy to electric energy. The overall Experiment is controlled using IoT sensors and relays which are connected and driven by the parameters that the user sets and can be communicated with the system using the Internet which allows the system to be proactive and take the needed decision in the right time. The main contribution of this system's experiment is the pumping of underground water in irrigation using a renewable and clean energy source, in addition to controlling the systems using IoT through the proposed LLMS. © 2022 IEEE.

关键词： Solar energy

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Profitable Investment in PV and BES Integrated with EV Charging Stations in Croatia - Myth or Reality?

Profitable Investment in PV and BES Integrated with EV Charg...

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International Multidisciplinary Conference on Computer and Energy Science (SpliTech)

作者： Mirna Grž anić Alen Hrga Tomislav Capuder Department of Energy and Power Systems Faculty of Electrical Engineering and Computing Zagreb Croatia

ISBN: (纸本)9781665488280

The increasing number of electric vehicles (EVs) poses a challenge to the power system operation and manage-ment. To deal with the growing consumption together with the uncertainty related to the time of arrival at the charging station and EV state of energy, the paper investigates the profitability of investment in different low-carbon (LC) technologies in the EV charging stations based on real-EV-data optimization. The model considers several real-life charging points in Croatia at different location (high-way, parking lot in the capital city and parking lot at the sea-side). Analyses show that the investment in PV and BES is profitable under current retail market options resulting in 3% to 70% cost reduction wit different LC technology options, while recently introduced EV charging reimbursement shortens the period of investment in LC technology for 8 years.

关键词： Costs Uncertainty Profitability power system dynamics Urban areas Pricing Electric vehicle charging

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Biomedical Antenna Design Optimization Using Multi-Objective Inverse Neural Networks

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Progress in Electromagnetics Research C 2025年 154卷 47-59页

作者： Ben Melouka, Rania Ibtissam Tighilt, Yamina Zebiri, Chemseddine Karaçuha, Kamil Ferhat Hamida, Abdelhak Mashat, Arwa Alaoui, Nail Department of Electronics University of Ferhat Abbas Setif-1 Setif19000 Algeria Department of Electronics Faculty of Engineering University of Ferhat Abbas Setif-1 Setif19000 Algeria Electrical Engineering Department Istanbul Technical University Istanbul Turkey Department of Information Systems Faculty of Computing and Information Technology King Abdulaziz University P. O. Box 344 Rabigh21911 Saudi Arabia Laboratoire de Modélisation Simulation et Optimisation des Systèmes Complexes Réels University of Djelfa Djelfa17000 Algeria

A new approach based on an Inverse Artificial Neural Network (IANN) for Multi-Objective Antenna design is presented in this paper. The network sets geometrical variables as the output and uses three antenna performances as inputs. The proposed ANN model is structured into two distinct parts: In the first part, three autonomous branches establish the correlation among the S parameters, gain, specific absorption rate (SAR), and geometric variables of the antenna. The outputs of these branches are used as input in the second part to derive a distinctive solution for these geometric variables. The proposed antenna dimensions are 20 × 24 × 1.58 mm3, and an ultra-wideband of 4.1 GHz to 8.7 GHz is achieved in free space and on human tissue, which coincides with the 5.8 GHz ISM band. Body temperature and specific absorption rate are simulated using the suggested rectangular patch antenna. The resulting optimized antenna holds promising potential for biomedical applications. © 2025, Electromagnetics Academy. All rights reserved.

关键词： Inverse problems

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Energy Sharing in Croatia - Recommendations on Encouraging Citizens Involvement in Energy Community and Collective Self-Consumptionon

SSRN

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SSRN 2023年

作者： Gržanić, Mirna Šironja, Ivona Capuder, Tomislav Department of Energy and Power Systems Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Grid One Zagreb Croatia

To empower the citizens engagement in the low-carbon transition, European directives highlight the importance of the local energy sharing concept. This can be achieved with renewable energy communities, citizen energy communities, collective self-consumption (CSC), peer-to-peer trading, energy cooperatives, etc. To investigate the potential benefits of local energy sharing in Croatia, this paper focused on financial analyses and return of investment calculation for local photovoltaic (PV) system based on real load and PV measurement data. Due to limited number of energy communities project in Croatia and poorly defined regulation, the goal was to provide an insight in different types of possible community trading approaches: collective-self consumption with joint investment in PV, an energy community with only business customers, and a household-based energy community. Comprehensive financial analyses are based on the existing regulatory framework in Croatia with two different net-metering approaches for final customers with the onsite PV generation. The results suggest the selection of the most beneficial net-metering approach for different types of communities. Moreover, CSC analyses are made based on static, annual and monthly key for energy sharing. Several settlement options are proposed highlighting the need for more detailed regulation and suggesting some regulation changes which will lead to higher acceptance of energy communities and joint local investments. Even though the analyses demonstrate the Croatian case study, the results and conclusions can easily be translated to any European country without the clear and detailed regulatory framework for energy communities. © 2023, The Authors. All rights reserved.

关键词： Investments

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Development and Techno-Economic Analysis of Solar power Plant Projects in Vietnam 7

Development and Techno-Economic Analysis of Solar Power Plan...

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7th International Youth Conference on Radio Electronics, electrical and power engineering, REEPE 2025

作者： Pham, Nam H. Kuznetsov, Oleg N. Doan, Canh T. Electrical Power Systems Department National Research University 'MPEI' Moscow Russia Department of Relay Protection and Automation of Energy Systems National Research University 'MPEI' Moscow Russia Institute of Engineering and Technology Vinh University Department of Electrical and Electronic Engineering Technology Viet Nam Hong Duc University Faculty of Engineering and Technology Viet Nam

ISBN: (纸本)9798331531836

As global energy demand continues to rise, concerns about climate change, environmental issues, and the depletion of fossil fuel resources require a careful consideration of the use of renewable energy, including solar energy. Vietnam's solar power plant (SPP) capacity has expanded considerably in recent years. However, technical and economic calculations for large-scale solar power plants and comparisons with other power plants are still limited. In this paper, the technical and economic aspects of solar power plants will be evaluated, with key economic indicators such as net present value (NPV), levelized cost of energy (LCOE), internal rate of return (IRR), benefit-cost ratio (BCR), and payback period (PB) being analyzed for both current and future scenarios. The results show that all power plants are economically effective. Furthermore, with investment costs for solar power plants decreasing rapidly, solar power plants will have high economic efficiency in the future. The useful information for investing and developing renewable energy policies in Vietnam is also presented in this paper. © 2025 IEEE.

关键词： Solar fuels

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DeepCNN:Spectro-temporal feature representation for speech emotion recognition

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CAAI Transactions on Intelligence Technology 2023年第2期8卷 401-417页

作者： Nasir Saleem Jiechao Gao Rizwana Irfan Ahmad Almadhor Hafiz Tayyab Rauf Yudong Zhang Seifedine Kadry Department of Electrical Engineering Faculty of Engineering and TechnologyGomal UniversityD.I.KhanPakistan Department of Computer Science University of VirginiaCharlottesvilleVirginiaUSA Department of Information Technology College of Computing and Information Technology at KhulaisUniversity of JeddahJeddahSaudi Arabia Department of Computer Engineering and Networks College of Computer and Information SciencesJouf UniversitySkaka AljoufSaudi Arabia Centre for Smart Systems AI and CybersecurityStaffordshire UniversityStoke‐on‐TrentUK School of Computing and Mathematical Sciences University of LeicesterLeicesterUK Department of Applied Data Science Noroff University CollegeKristiansandNorway Artificial Intelligence Research Center(AIRC) Ajman UniversityAjmanUnited Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityByblosLebanon

Speech emotion recognition(SER)is an important research problem in human-computer interaction *** representation and extraction of features are significant challenges in SER *** the promising results of recent studies,they generally do not leverage progressive fusion techniques for effective feature representation and increasing receptive *** mitigate this problem,this article proposes DeepCNN,which is a fusion of spectral and temporal features of emotional speech by parallelising convolutional neural networks(CNNs)and a convolution layer-based *** parallel CNNs are applied to extract the spectral features(2D-CNN)and temporal features(1D-CNN)representations.A 2D-convolution layer-based transformer module extracts spectro-temporal features and concatenates them with features from parallel *** learnt low-level concatenated features are then applied to a deep framework of convolutional blocks,which retrieves high-level feature representation and subsequently categorises the emotional states using an attention gated recurrent unit and classification *** fusion technique results in a deeper hierarchical feature representation at a lower computational cost while simultaneously expanding the filter depth and reducing the feature *** Berlin Database of Emotional Speech(EMO-BD)and Interactive Emotional Dyadic Motion Capture(IEMOCAP)datasets are used in experiments to recognise distinct speech *** efficient spectral and temporal feature representation,the proposed SER model achieves 94.2%accuracy for different emotions on the EMO-BD and 81.1%accuracy on the IEMOCAP dataset *** proposed SER system,DeepCNN,outperforms the baseline SER systems in terms of emotion recognition accuracy on the EMO-BD and IEMOCAP datasets.

关键词： decision making deep learning

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Impact of High Photovoltaic Penetration on the Voltage Stability of Vietnam's power System 7

Impact of High Photovoltaic Penetration on the Voltage Stabi...

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7th International Youth Conference on Radio Electronics, electrical and power engineering, REEPE 2025

作者： Pham, Nam H. Kuzetsov, Oleg N. Doan, Canh T. National Research University 'MPEI' Electrical Power Systems Department Moscow Russia Institute of Engineering and Technology Vinh University Department of Electrical and Electronic Engineering Technology Viet Nam National Research University 'MPEI' Department of Relay Protection and Automation of Energy Systems Moscow Russia Hong Duc University Faculty of Engineering and Technology Viet Nam

ISBN: (纸本)9798331531836

Photovoltaics (PV) play an essential role in energy networks by promoting clean, sustainable energy and reducing reliance on fossil fuels. However, their operational characteristics introduce new challenges, particularly concerning grid reliability and voltage stability. In this paper, the impact of solar photovoltaic plant (SPP) penetration on voltage behavior in the central region of Vietnam is examined using dynamic models at different integration levels, ranging from 0% to 40%. The results reveal that while low SPP penetration has minimal effects, high penetration levels (30% and 40%) significantly reduce reactive power support, exacerbating voltage collapse risks. These findings underscore the necessity for advanced voltage and reactive power control strategies to ensure grid stability in high-SPP scenarios. © 2025 IEEE.

关键词： Electric power transmission networks

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