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Mediterranean Electrotechnical Conference (MELECON)

作者： Katharina Gü nther Constantinos Sourkounis Institute for Power Systems Technology and Power Mechatronics Faculty of Electrical Engineering and Information Technology Ruhr University Bochum Bochum Germany

ISBN: (数字)9781665442800

ISBN: (纸本)9781665442817

In the wind energy sector, economic interests for increasing the plant lifetime and the development of grid supporting control structures to comply with current and expected future grid codes are two main fields of interest. The virtual inertia control for an instantaneous grid frequency support excites torsional oscillations depending on the occurring ROCOF and the controller design. Hence the impact on the drive train is analyzed for varying controller parameters with experimental investigations considering a load step event in a low inertia grid. Moreover, a conventional control strategy for the active damping of torsional oscillations is implemented and tested. The analyses are focused on resulting mechanical loads but also on consequences for the grid frequency support. The results show that a reduction of torsional oscillations is recommended to reduce mechanical loads but also to prevent a grid power supply with power oscillations corresponding to drive train oscillations. Especially in low inertia grids, these power oscillations may deteriorate grid frequency behavior.

关键词： Damping Shafts Torque Wind energy power system stability power grids Stability analysis

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Model Predictive Control-Based Dual Input Split Source Inverter for PV Applications

Model Predictive Control-Based Dual Input Split Source Inver...

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Annual Conference of Industrial Electronics Society

作者： Mustafa Abu-Zaher Mokhtar Aly Fang Zhuo Mostafa Ahmed José Rodriguez Abualkasim Bakeer Alaaeldien Hassan State Key Laboratory of Electrical Insulation and Power Equipment School of Electrical Engineering Xi’an Jiaotong University Xi’an China Faculty of Technology and Education Sohag University Sohag Egypt Facultad de Ingeniería y Tecnología Universidad San Sebastián Santiago Chile The Chair of High-Power Converter Systems Technical University of Munich Munich Germany Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology Tallinn Estonia Faculty of Engineering South Valley University Qena Egypt

ISBN: (数字)9781665464543

ISBN: (纸本)9781665464550

Robust and efficient integration of photovoltaic (PV) sources is essential for enhancing the domination of renewable sources and promoting energy transition. Recently, impedance source inverters have attracted wide interest. However, they need a high number of passive components. Thence, lower efficiency, higher cost, and bulky volume are the main drawbacks of conventional impedance source inverters. The split source-based PV inverters (SSI) have presented lower components and smaller volume candidates in these applications. Therefore, this paper presents a modified dual-input-based SSI for PV inverters. Moreover, an improved finite control set (FCS) model predictive control (MPC) method is proposed for controlling the multi-inputted PV power with their expected shading conditions. The proposed FCS-MPC also injects high quality AC current/power to the utility grid side. The proposed dual input topology and FCS-MPC are verified experimentally. The superiority of input in addition to output sides waveform qualities has been proven.

关键词： Photovoltaic systems Renewable energy sources Predictive models Inverters Stability analysis Robustness Topology Impedance Predictive control Load modeling

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The converter-load interaction in pulsed magnetron sputtering - a behavioral modelling approach

The converter-load interaction in pulsed magnetron sputterin...

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International Conference on Intelligent systems Applications to power systems (ISAP)

作者： András Kelemen Róbert-Rossi Madarász Péter Kádár Dept. of Electrical Engineering Sapientia Hungarian University of Transylvania Tîrgu Mures Romania Doctoral School of Applied Informatics and Applied Mathematics Óbuda University Budapest Hungary Dept. of Power Systems Faculty of Electrical Engineering Óbuda University Budapest Hungary

ISBN: (数字)9798331531751

ISBN: (纸本)9798331531768

The magnetron sputtering thin film deposition process has been significantly advanced by the application of pulsed power technology. The paper proposes a behavioral model of the magnetron discharge that can be used to study the interaction between the pulsed discharge and the driving power electronic converter. The underlying physical phenomena have been investigated based on the literature, and practical measurement results have been qualitatively reproduced by pSpice simulation using the proposed model in case of a pulsed power supply based on inductive energy storage.

关键词： power measurement Pulse measurements power supplies Magnetomechanical effects SPICE Discharges (electric) Transient analysis Sputtering Thermal stresses Stress

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Transient stability improvement of Croatian power system using FACTS

Transient stability improvement of Croatian power system usi...

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IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)

作者： Anica Šešok Ivica Pavić Dept. of Energy and Power Systems Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

ISBN: (纸本)9798350399677

In the last twenty years, the share of renewable energy sources (RES) in total electricity production has increased significantly, which has led to certain problems in power system operation. In systems with a significant share of RES, connected to the transmission network via power electronics devices, the inertial response of the system is reduced. Due to the reduced inertia of the power system, synchronous generators are more sensitive to their disturbed states and as a result, can easily lose stability. Loss of stability of one generator can lead to failure of other system elements, which may ultimately result in partial or even complete breakdown of the power system. Recently, a large increase in production from renewable sources has been recorded in the Croatian power system, therefore this paper investigates their impact on the system's transient stability and the possibilities of its improvement using Flexible AC Transmission systems (FACTS).

关键词： Renewable energy sources Flexible AC transmission systems Asia Production power system stability Stability analysis Synchronous generators

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Data-Driven Adequacy and Security Assessment: Machine Learning Trends for Reliable Smart Energy Networks

Data-Driven Adequacy and Security Assessment: Machine Learni...

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Smart Grid Conference (SGC)

作者： Mohammad Mohsen Hayati Hassan Majidi Hossein Shahinzadeh Mehdi Abapour Mahmud Fotuhi-Firuzabad Gevork B. Gharehpetian Faculty of Electrical and Computer Engineering Energy Systems Research Institute (ESRI) University of Tabriz Tabriz Iran Department of Electrical Engineering Amirkabir University of Technology Tehran Iran Center of Excellence in Power System Management and Control (CEPSMC) Sharif University of Technology Tehran Iran

ISBN: (数字)9798331511333

ISBN: (纸本)9798331511340

Smart energy networks (SENs) face numerous challenges related to security, reliability, operational uncertainties, and increasing penetration of renewable energies (REs), necessitating advanced methodologies for adequacy and security assessment. This study delves into the utilization of machine learning-driven approaches (MLDAs) to quantify reliability and gauge the dependability of future sustainable SENs. By autonomously acquiring knowledge from datasets, MLDAs offer swift and reliable evaluations, surpassing traditional methodologies. The integration of artificial intelligence (AI) in enhancing power system reliability is highlighted, emphasizing the importance of extensive datasets and evolving AI algorithms. Data-driven approaches empower energy network operators to proactively identify and mitigate security risks, enhancing the reliability of critical infrastructure systems. The research underscores the significance of constructing reliable databases, addressing challenges in real-time operations, and ensuring the performance and trustworthiness of machine learning (ML) algorithms. Overall, the study showcases the potential of ML techniques in revolutionizing reliability management and risk assessment in smart energy networks, paving the way for sustainable and reliable power systems.

关键词： Uncertainty Machine learning algorithms Databases Machine learning power system reliability Smart grids Management Reliability Security Risk management

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Integration of Renewable Energy Sources in Energy systems: Management, Security and Sustainability 11

Integration of Renewable Energy Sources in Energy Systems: M...

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11th International Conference on ENERGY and ENVIRONMENT, CIEM 2023

作者： Gorea, Cristian Chiorean, Dragoş-Lucian Vlasa, Ilie Triştiu, Ion Bica, Dorin Department of Electrical National University of Science and Technology POLITEHNICA Bucharest Romania Distribut ie Energie Electrica Romania S.A Str. Ilie Macelaru nr. 28A Cluj jud Cluj-Napoca Romania IEEE Member Department of Electrical Power Systems National University of Science and Technology POLITEHNICA Bucharest Romania Department of Electrical Engineering and Information Technology Faculty of Engineering and Information Technology"George Emil Palade" University of Medicine Pharmacy Science Technology Târgu Mureş Romania

ISBN: (纸本)9798350340785

—This paper addresses the issues related to the integration of renewable energy sources into energy systems, focusing on management, security and sustainability. A significant transition to cleaner and renewable energy sources is essential to address the challenges of climate change and to ensure a long-term sustainable energy source. The paper analyzes the technological solutions and management strategies that facilitate the successful integration of renewable energy sources into the energy infrastructure by tracking the voltage behavior at the common connection point. ©2023 IEEE.

关键词： Sustainable development

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A Multi-Objective Optimization Schedule for the charging behavior of the EV user in a Smart Campus

A Multi-Objective Optimization Schedule for the charging beh...

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Energy Technologies for Future Grids (ETFG), IEEE International Conference on

作者： Mohamed A. Hassan Ahmed A. Oransa Ahmed M. Elsallanty Deema R. Fekry Hatem H. Ibrahim Bishoy E. Sedhom Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS) Research Institute King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia Electrical Engineering Department Faculty of Engineering Damietta University Damietta Egypt Electrical Engineering Department Faculty of Engineering Mansoura University Mansoura Egypt

Recently, electric vehicles (EVs) demand has been intensely increased. Accordingly, more electrical vehicle charging stations (EVCSs) are essentially needed. The charging behavior of the EV user is affected by several issues. This paper proposes a multi-objective genetic algorithm (MOGA) optimization scheme for scheduling the charging behavior of the EV user in a smart campus. The problem is optimally formulated and designed to minimize the total traveling distance of the EV toward charging station (CS), needed fully charging time of the EV battery, total charging cost, total expected queuing time in the CS, and needed energy consumption of the EV to arrive the CS. The considered system involves 50 EVs and 3 EVCSs. Few solar cells are employed to recharge the EVs and reduce the energy loss and voltage drop. Different scenarios are provided to compare between the proposed and uncontrolled (unoptimized) schemes. The results prove the proposed technique effectiveness. The EV user's charging behavior is improved. Moreover, it is concluded that the charging cost depends on the state of charge (SoC) of the EV batteries and charging time of the EVs.

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Design and Simulation of a 500-kW Battery Charger Using Dual Active Bridge Converter

Design and Simulation of a 500-kW Battery Charger Using Dual...

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International Middle-East power System Conference, MEPCON

作者： Hassan M. Abdelbaset Ahmed Toplik J. Ortiz Gonzalez Alan Walker Mohamed Taha Electrical dept Faculty of Engineering Cairo University Giza Egypt School of Engineering University of Warwick Coventry UK Syselek(UK) Ldt Warwick UK Electrical dept. / Electronics Power and Systems dept Faculty of Engineering Cairo University Giza Egypt School of Engineering Warwick University Coventry

This study focuses on the design and simulation of a robust 500 kW charger for electric vehicle (EV) charging applications using MATLAB SIMULINK software. The charger consists of two channels, each comprising five dual active bridge (DAB) converters arranged in a series configuration at the input side and interconnected in parallel at the output terminals. Each DAB converter can transfer up to 50 kW of power, resulting in a total power transfer capacity of 250 kW per channel. Precise control is achieved through a phase shift control strategy employed by each DAB converter. The system’s performance was thoroughly tested within a dynamic power range of −50 kW to 50 kW for each DAB converter, showcasing excellent controller response. The results demonstrate the effectiveness and suitability of the DAB converter for EV charging stations.

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Smart Fibers for Energy Transformation and Storing

Smart Fibers for Energy Transformation and Storing

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2023 Advances in Science and engineering Technology International Conferences, ASET 2023

作者： Al Jaghoub, Haya Rami Almallahi, Maryam Nooman Obaideen, Khaled Moustafa, Asmaa Al Nassan, Wafaa Ramadan, Omar H. Bonny, Talal University of Sharjah Industrial Engineering and Engineering Management Sharjah United Arab Emirates United Arab Emirates University Department of Mechanical and Aerospace Engineering Al Ain United Arab Emirates Rise University of Sharjah Sustainable Energy & Power Systems Research Centre Sharjah United Arab Emirates Ahram Canadian University Faculty of Engineering Giza Egypt University of Sharjah Department of Computer Engineering Sharjah United Arab Emirates University of Sharjah Department of Electrical and Electronic Engineering Sharjah United Arab Emirates

ISBN: (纸本)9781665454742

Fibers have been a crucial element in the development of textiles. This is attributed to the numerous advantages fibers provide, including the production of stronger and long-lasting cloths. Moreover, synthetic fibers are perceived as highly flexible and cost-effective materials. Due to the expansion in portable and wearable devices, the creation of intelligent and versatile fibers has been significantly boosted. Additionally, due to the intrinsic materials of fibers, such as semiconductors and electroactive materials, it is feasible to create fiber electronics. As a result, this paper focuses on fiber electronics and especially the sources of energy supply for these fibers. This paper initially starts to introduce the development of functional fibers in energy conversion and storage, with an emphasis on supercapacitors, solar cells, and nanogenerator batteries. Thereafter, the significance of fiber-shaped energy conversion and smart structural design for storage devices is examined. © 2023 IEEE.

关键词： Supercapacitor

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Energy Sharing in Croatia - Recommendations on Encouraging Citizens' Involvement in the Energy Community and Collective Self-Consumption

SSRN

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SSRN 2023年

作者： Gržanić, Mirna Capuder, Tomislav Šironja, Ivona Department of Energy and Power Systems Faculty of Electrical Engineering and Computing University of Zagreb Unska 3 Zagreb Croatia Grid ONE Avenija Dubrovnik 15 Zagreb Croatia

To investigate the potential benefits of local energy sharing in Croatia, this research focused on financial analyses and return of investment calculation for local photovoltaic (PV) systems based on real load and PV measurement data. 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 ***-self-consumption (CSC) analyses are made based on static, annual, and monthly keys of repartition (KoR) for energy sharing. The results suggest the selection of the most beneficial net-metering approach for different types of communities: monthly net metering is more beneficial for household CSC and energy communities with only business customers, while 15-minute net metering results in lower costs and shorter return of investment period for a household-business customer energy community. Consumers with high monthly consumption have the highest electricity bill with static KoR due to equal distribution of produced energy between all community members, while with annual or monthly KoR their electricity bill significantly decreases because they are allocated more PV production. Furthermore, the analyses suggest that regulation should define how excess PV production is shared and renumerated after the application of KoR in the second stage. © 2023, The Authors. All rights reserved.

关键词： Sales

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