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UPB Scientific Bulletin, Series C: electrical engineering and Computer Science 2023年第1期85卷 351-364页

作者： Falama, Ruben Zieba Soulouknga, Marcel Hamda Dumbrava, Virgil Saidi, Abdelaziz Salah Kaoutoing, Maxime Dawoua Salah, Chokri Ben Doka, Serge Yamigno National Advanced School of Mines and Petroleum Industries University of Maroua Cameroon Higher Teacher Training Technical College of Sarh Sarh Chad Department of Power systems Faculty of Power Engineering University POLITEHNICA of Bucharest Romania Department of Electrical Engineering King Khalid University member IEEE Abha Saudi Arabia University of Sousse ISSAT of Sousse Tunisia

This paper focused on the production of the hydrogen via water electrolysis using renewable energy systems including PV and Wind. The hydrogen production capacity of ten different localities of Cameroon has been evaluated. The economic analysis reveals that, the levelized cost of energy (LCOE) to produce green hydrogen via PV/Wind/Electrolysis in Cameroon ranges from 0.138 $/kWh to 0.251 $/kWh. The corresponding levelized cost of hydrogen (LCOH) ranges from 8.409 $/kg to 14.070 $/kg. It has been demonstrated that the energy provided by the PV generator ranges from 71 to 89.46 % of the total energy supplied by the PV/Wind system. Thus PV/Electrolysis is technically more suitable for hydrogen production in Cameroon than Wind/Electrolysis and PV/Wind/Electrolysis. However, the PV/Wind/Electrolysis is more cost-effective than the Wind/Electrolysis based hydrogen production in Cameroon. © 2023, Politechnica University of Bucharest. All rights reserved.

关键词： Hydrogen production

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Dynamic Evolutionary Game-based Modeling,Analysis and Performance Enhancement of Blockchain Channels

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IEEE/CAA Journal of Automatica Sinica 2023年第1期10卷 188-202页

作者： PeiYun Zhang MengChu Zhou ChenXi Li Abdullah Abusorrah IEEE the School of Computer Science Nanjing University of Information Science&TechnologyNanjing 210044China the Helen and John C.Hartmann Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102 USA the School of Computer and Information Anhui Normal UniversityWuhu 241003China the Department of Electrical and Computer Engineering Faculty of Engineeringand Center of Research Excellence in Renewable Energy and Power SystemsKing Abdulaziz UniversityJeddah 21481Saudi Arabia

The recent development of channel technology has promised to reduce the transaction verification time in blockchain *** transactions are transmitted through the channels created by nodes,the nodes need to cooperate with each *** one party refuses to do so,the channel is unstable.A stable channel is thus *** nodes may show uncooperative behavior,they may have a negative impact on the stability of such *** order to address this issue,this work proposes a dynamic evolutionary game model based on node *** model considers various defense strategies'cost and attack success ratio under *** can dynamically adjust their strategies according to the behavior of attackers to achieve their effective *** equilibrium stability of the proposed model can be *** proposed model can be applied to general channel *** is compared with two state-of-the-art blockchain channels:Lightning network and Spirit *** experimental results show that the proposed model can be used to improve a channel's stability and keep it in a good cooperative stable *** its use enables a blockchain to enjoy higher transaction success ratio and lower transaction transmission delay than the use of its two peers.

关键词： Blockchain channel network evolutionary game malicious behavior secure computing stability analysis

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Optimizing Electric Vehicle Charging Station Placement in Distribution systems for Enhanced power Grid Performance

Optimizing Electric Vehicle Charging Station Placement in Di...

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International Ural Conference on Measurements (UralCon)

作者： Ismail A. Soliman Vladimir Tulsky Hossam A. Abd El-Ghany Electrical Power and Machines Engineering Department Faculty of Engineering Tanta University Tanta Egypt Electrical Power Systems Department NRU Moscow Power Engineering Institute Moscow Russia

ISBN: (数字)9798350386028

ISBN: (纸本)9798350386035

The integration of electric vehicles in the transportation sector leads to lessening greenhouse gas emissions. It is mandatory to recharge electric vehicles as it depends on the battery storage system and due to the increase in electric vehicles models and numbers, there is a need for installing electric vehicles charging stations to meet new load needs that are considered as an overload. The unscheduled placement of electric vehicles charging stations harms the power grid and leads to poor power quality. This paper presents a proposed algorithm to optimally allocate electric vehicles charging stations in a distribution system. The allocation is based on minimizing the energy loss and maintaining the system voltage profile within limits. This is accomplished by considering a variable load profile and the charging/discharging profile of electric vehicles charging stations. To support system voltage, Vehicle-to-Grid mode is applied instead of using additional energy source. MATLAB/Simulink® software package and genetic algorithm are used to verify the proposed algorithm on a standard distribution network. The results prove the algorithm reliability as the system load is approximately doubled, and energy loss is barely slightly increased.

关键词： Energy loss Vehicle-to-grid Voltage measurement power quality Software algorithms Charging stations Approximation algorithms power grids Electric vehicle charging Genetic algorithms

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Mitigating the Impacts of Electric Vehicle Charging Stations in Distribution Networks Using SAMPE-JAYA Algorithm

Mitigating the Impacts of Electric Vehicle Charging Stations...

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International Middle-East power System Conference, MEPCON

作者： Ismail A. Soliman Vladimir Tulsky Ahmed E. Elgebaly Hossam A. Abd El-Ghany Electrical Power and Machines Engineering Department Faculty of Engineering Tanta University Tanta Egypt Electrical Power Systems Department NRU Moscow Power Engineering Institute Moscow Russia

ISBN: (数字)9798350379648

ISBN: (纸本)9798350379655

The world is being converted to using electric vehicles (EVs) to combat climate change and lower pollution levels. As a result of the tremendous development in the battery industry, the electric vehicles industry flourishes, especially the transition from hybrid to electric cars. Sustaining this process calls for more electric vehicle charging stations to be made available to the general population. This extra load has impacts on the distribution network such as exceeding power system limitations and quality violations of the power network. This paper presents an optimal solution for the integration of electric vehicle charging stations in the distribution system without violating the system power quality constraints. To solve this problem, Self-Adaptive Multi-Population Elitist Jaya Algorithm (SAMPE-JAYA) is used to obtain the location of electric vehicle charging stations, Vehicle to Grid sharing (V2G), and distributed generation units (DG). The simulation results are carried out on a balanced IEEE-33 bus radial distribution system. The load curves and electric vehicles charging/discharging profiles are used to help in allocating electric vehicle charging stations. The selected location for inserting charging stations proved its reliability by improving the voltage and decreasing power loss.

关键词： Industries Vehicle-to-grid Pollution Simulation Transportation Voltage Distribution networks Electric vehicle charging power system reliability Reliability

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Condition Monitoring and Maintenance Management with Grid-Connected Renewable Energy systems

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Computers, Materials & Continua 2022年第8期72卷 3999-4017页

作者： Md.Mottahir Alam Ahteshamul Haque Mohammed Ali Khan Nebras M.Sobahi Ibrahim Mustafa Mehedi Asif Irshad Khan Department of Electrical and Computer Engineering(ECE) King Abdulaziz UniversityJeddah 21589Saudi Arabia Advance Power Electronics Research Lab Department of Electrical EngineeringJamia Millia IslamiaNew Delhi 110025India Department of Electrical Power Engineering Faculty of Electrical Engineering and CommunicationBrno University of TechnologyBrno 61600Czech Republic Center of Excellence in Intelligent Engineering Systems(CEIES) King Abdulaziz UniversityJeddah 21589Saudi Arabia Computer Science Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah 21589Saudi Arabia

The shift towards the renewable energy market for carbon-neutral power generation has encouraged different governments to come up with a plan of *** with the endorsement of renewable energy for harsh environmental conditions like sand dust and snow,monitoring and maintenance are a few of the prime *** problems were addressed widely in the literature,but most of the research has drawbacks due to long detection time,and high misclassification *** to overcome these drawbacks,and to develop an accurate monitoring approach,this paper is motivated toward the understanding of primary failure concerning a grid-connected photovoltaic(PV)system and highlighted along with a brief overview on existing fault detection *** on the drawback a data-driven machine learning approach has been used for the identification of fault and indicating the maintenance unit regarding the operation and maintenance ***,the system was tested with a 4 kWp grid-connected PV system,and a decision tree-based algorithm was developed for the identification of a *** results identified 94.7%training accuracy and 14000 observations/sec prediction speed for the trained classifier and improved the reliability of fault detection nature of the grid-connected PV operation.

关键词： Fault detection machine learning fault ride through

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Modelling of SLBESS Application in the Distribution Grid with the Help of a Benchmark Model 11

Modelling of SLBESS Application in the Distribution Grid wit...

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11th International Scientific Symposium on electrical power engineering, ELEKTROENERGETIKA 2022

作者： Rybárik, Marek Braciník, Peter Roch, Marek Department of Power Systems and Electric Drives Faculty of Electrical Engineering and Information Technology University of Žilina Žilina Slovakia

ISBN: (纸本)9788055341040

In recent years, we can see an enormous rise of distributed energy resources (DER) of which the biggest interest is in renewable energy sources (RES). To support their smooth integration, battery storage systems (BESS) are very often recommended and used to balance the RESs’ output power fluctuations. Considering the proposed rise of electric mobility, the used batteries of electric vehicles can be applied for second life batteries energy storage systems (SLBESS) to support the operation of the grid with renewables. To do it efficiently, the operation of SLBESS has to be simulated in advance. As a support of these activities, the CIGRE Task Force has developed a few European network benchmarks for real-world simulations. The aim of the paper will be the presentation of the use of a such benchmark network, created in pandapower, for the simulation of SLBESS integration and application. © 2022 Technical University of Košice.

关键词： Python

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Options for Application of Distributed Ledger Technologies in Development and Operation of Energy Communities 7

Options for Application of Distributed Ledger Technologies i...

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7th International Conference on Smart and Sustainable Technologies, SpliTech 2022

作者： Svetec, Erica Herencic, Lin Hrga, Alen Zagreb Croatia University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9789532901160

Deep integration of variable renewable energy sources in electrical power systems requires widespread use of digital technologies and novel citizen-oriented business models. The emergence of distributed ledger technologies (DLTs) has spurred the development of pilot projects and the assessment of the opportunities for the application of DLTs in the energy sector. In this paper, we examine DLTs considering their key features and applications in the energy sector, with a focus on their potential use in energy communities. As a case study, we present the pilot site in the city of KriÅ½evci in Croatia, where an energy community is being established. Based on this case, we assess the potential use cases, advantages, and possible drawbacks in the application of DLTs in comparison with the business-as-usual non-DLT solutions. © 2022 University of Split, FESB.

关键词： Blockchain

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A novel optimisation method for optimal integration of the hybrid distributed generation with FACTS device: A practical case study

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International Journal of power and Energy Conversion 2021年第4期12卷 314-337页

作者： Aljendy, Raseel Nasyrov, Rinat Ebraheem, Terad Abdelaziz, Almoataz Youssef Diab, Ahmed A. Zaki Electrical Power Systems Department Moscow Power Engineering Institute MPEI Moscow111250 Russia Electrical Engineering Department Faculty of Engineering Tishreen University Latakia2237 Syria Electrical Engineering Department Faculty of Engineering Ain Shams University Cairo Egypt Electrical Engineering Department Faculty of Engineering Minia University Minia61111 Egypt

The injected power from the renewable energy sources can bring new challenges and problems to the power grid, which already suffers from power quality (PQ) problems. The impact of the integration of the renewable power plants into the electric network corresponding to the level of harmonics and its propagation, besides the initial harmonics resulting from the nonlinear loads itself, has been presented and compensated in this paper. The paper presents the determination of the size of the distributed generation (DG) based on recent optimisation algorithms and a techno-economic feasibility study of PV and wind power plant was evaluated using the RETScreen program. Moreover, the active power filter (APF) has been designed as D-STATCOM for improving the power quality. A comprehensive comparison of the response of the system considering photovoltaic and wind generation with a nonlinear load in both cases with and without the APF is presented using MATLAB/Simulink. Copyright © 2021 Inderscience Enterprises Ltd.

关键词： power quality

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Artificial Inertia by Small Scale PV systems 6

Artificial Inertia by Small Scale PV Systems

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6th IEEE International Conference and Workshop Obuda on electrical and power engineering, CANDO-EPE 2023

作者： Kadar, Peter Obuda University Budapest Hungary Kando Kalman Faculty of Electrical Engineering Alternative Energy Sources Knowledge Centre Department of Power Systems BudapestH-1034 Hungary

ISBN: (纸本)9798350328752

In the unified European electricity system, millions of power generating units operate in synchronous operation with the same frequency from Portugal to Poland. The common frequency as an indicator signs the balance of production and consumption. If it suddenly changes, there is a chance to avoid a frequency collapse with a suitable quick influence. The ratio of traditional rotating machine production is significantly reduced by the production of solar panels and wind power plants. The mechanical inertia and inertia of the system is strongly reduced. Small lack of energy can cause big changes in the frequency. Although the stationary frequency is moving at a lower level in case of permanent energy shortage, the speed, amplitude, and swing of the frequency change can be reduced with smaller energy pulses. In this paper, we review the implementation possibilities of supplying distributed, large numbers of low-power energy pulses. © 2023 IEEE.

关键词： Solar panels

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Multi-Objective Control of Nine-Level ANPC Converters: A Robust and Gain-Free MPC Method

Multi-Objective Control of Nine-Level ANPC Converters: A Rob...

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2023 IEEE International Conference on Predictive Control of electrical Drives and power Electronics, PRECEDE 2023

作者： Harbi, Ibrahim Makhamreh, Hamza Ahmed, Mostafa Abdelrahem, Mohamed Heldwein, Marcelo Rodriguez, Jose Kennel, Ralph Technical University of Munich High-Power Converter Systems Munich Germany Ozyegin in University Electrical and Electronics Engineering Istanbul Turkey Assiut University Dept. of Electrical Engineering Assiut Egypt Faculty of Engineering Universidad San Sebastian Santiago Chile

ISBN: (纸本)9798350396867

Model predictive control (MPC) is a powerful control method for addressing multi-objective control problems, however, one of its main challenges is the cumbersome tuning process of the weighting factors. This paper presents a weighting factorless advanced MPC method for a recently developed nine-level active neutral point clamped (ANPC) converter, which has several advantages over conventional and recent nine-level topologies, such as low number of used switches and flying capacitors (FCs), reduced voltage rating of FCs and high efficiency. The developed MPC method avoids the use of weighting factors while addressing three control objectives: current control, FCs balancing and neutral point (NP) control. Similar to conventional finite-set MPC (FS-MPC), the presented method has high performance in terms of all control objectives. Moreover, this method exhibits enhanced robustness to parameter mismatch compared to the conventional scheme. The effectiveness of this method is validated through experimental testing under various operating conditions. The research demonstrates the potential for this technique to address control problems in ANPC-based converters and highlights its potential for further applications. © 2023 IEEE.

关键词： Model predictive control

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