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UPB Scientific Bulletin, Series C: electrical engineering and Computer Science 2024年第2期86卷 369-382页

作者： Fiorentis, Efstathios Vîlciu, Irina Ghiță, Octavian Mihai Lipan, Laurentiu Enache, Bogdan-Adrian Department of Measurements Electrical Devices and Static Converters Faculty of Electrical Engineering UNST POLITEHNICA Bucharest Romania Department of Electromagnetic Systems Faculty of Power Systems Engineering UNST POLITEHNICA of Bucharest Romania

Recently, more mobile energy storage models have been designed and used. Among them, the containerised ones, thanks to their standard dimensions, offer a variant that can be easily transported and installed where needed. This paper presents the design and optimisation of a containerised energy storage system prototype, with LiFePO4 Li-ion batteries, with a capacity of 40[kWp], realised within the project, "green" mobile services for energy systems in the smart city-SMARTELTER". The projected plan is designed to ensure the necessary energy to charge the batteries using a system of 75 photovoltaic panels with manual deployment. Regarding the choice of the container, a standard six-meter container is used. Before making the final system, to study and optimise the behaviour of the design, a 1:10 scale prototype was created using 3D printing techniques, and to optimise the operation of the electrical installation, the entire energy conversion chain from the photovoltaic panel system up to the batteries system was simulated using the Matlab simulation environment and its extension, Simulink. After the tests, we can observe the efficiency of the designed method, maintaining the delivered parameters at optimal values for the entire conversion process and finally charging the batteries. © 2024, Politechnica University of Bucharest. All rights reserved.

关键词： Lithium-ion batteries

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Adaptive algorithm for controlling the power management system on offshore jack-up drilling rigs

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Energy Sources, Part A: Recovery, Utilization and Environmental Effects 2024年第1期46卷 16717-16737页

作者： Cemeljic, Hrvoje Havelka, Juraj Jeremic, Aleksandar Kuzle, Igor Department of Energy and Power Systems Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Department of Electrical & Computer Engineering McMaster School of Biomedical Engineering McMaster University HamiltonON Canada Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

The power systems of offshore jack-up drilling rigs consist of diesel generators running in parallel load-sharing mode, controlled by an automatic power Management System (PMS). In this paper, the operational performance of the diesel generators (DG) and the PMS on a jack-up drilling rig is investigated, focusing on two critical offshore drilling operations: "pipe tripping" and "pulling/pumping out of the hole" (POOH). During these operations, large power swings occur in the system, subjecting the DGs to sudden load surges. These severe imbalances in the system cause the PMS to intermittently start and stop the engines throughout the operation, leading to various problematic conditions in the power plant. The paper provides a novel solution for intermittent starting and stopping of the DGs in the form of development and implementation of an adaptive PMS algorithm, a mathematical model of the system and a machine learning approach to event prediction of PMS operation in offshore drilling. Research demonstrates a noteworthy decrease in intermittent DG starting and stopping when the adaptive algorithm is implemented, with a 96% reduction during pipe tripping and an 87% reduction during POOH. This improvement comes at the expense of an 11% increase in engine running hours and a 1.5% rise in fuel consumption. Furthermore, by configuring the adaptive algorithm to economy mode, savings of up to 1700 liters of fuel per month are achievable. © 2024 Taylor & Francis Group, LLC.

关键词： Adaptive algorithms

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OPTIMIZATION AND PERFORMANCE OF BIFACIAL PV SYSTEM COMPARED TO MONOFACIAL 14

OPTIMIZATION AND PERFORMANCE OF BIFACIAL PV SYSTEM COMPARED ...

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14th Mediterranean Conference on power Generation Transmission, Distribution and Energy Conversion, MEDpower 2024

作者： Hida, Andi Rrotani, Viktor Bualoti, Rajmonda Shaliu, Donard Kamberi, Klajdi Department of Electrical Power Systems Faculty of Electrical Engineering Polytechnic University of Tirana Albania

ISBN: (纸本)9781837242689

This study presents a comparative analysis of a bifacial photovoltaic (BFPV) system with a monofacial (MFPV) one, installed on the rooftop of the Polytechnic University of Tirana, Albania (choosing the same size of 168 kWp). The row spacing is 1.9m, the PV height is 0.3m, and the orientation is to the south (1680). The simulations show that the BFPV system performs better every month, increasing the annual PV Energy by 8.3%. Furthermore, to find the optimal design, the impact of tilt angle, elevation, and albedo on the Specific Annual Yield of the BFPV system is studied. Keeping the orientation and the row spacing unchanged, it turns out that the optimal tilt angle is 250 (against 280 in the MFPV system), the optimal height is 0.3 m, and the optimal albedo value is 0.9 (white surface). Comparing it with the optimized MFPV system, this configuration would give a gain of 15.7%. However, for albedo values up to 0.35, the optimal tilt angle for BFPV is 200. On the other hand, using a regression analysis (considering R2 and P-value) through the obtained results, Specific Annual Yield and Bifacial Gain (BG) are expressed as a third-order polynomial equation depending on the above parameters. © The Institution of engineering & Technology 2024.

关键词： Regression analysis

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Mitigating the Impacts of Electric Vehicle Charging Stations in Distribution Networks Using SAMPE-JAYA Algorithm 25

Mitigating the Impacts of Electric Vehicle Charging Stations...

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25th International Middle East power System Conference, MEPCON 2024

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

ISBN: (纸本)9798350379648

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. © 2024 IEEE.

关键词： Charging stations

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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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2024 International Ural Conference on electrical power engineering, UralCon 2024

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

ISBN: (纸本)9798350386028

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. © 2024 IEEE.

关键词： Charging stations

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Direct power Control Based on Dead-beat Function and Extended Kalman Filter for PV systems

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Journal of Modern power systems and Clean Energy 2023年第3期11卷 863-872页

作者： Mostafa Ahmed Ibrahim Harbi Ralph Kennel Mohamed Abdelrahem Chair of High-Power Converter Systems(HLU) Technical University of Munich(TUM)80333 MunichGermany Department of Electrical Engineering Faculty of EngineeringAssiut UniversityAssiut 71515Egypt Department of Electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Koum 32511Egypt IEEE

In this paper,a new proposal for the implementation of the well-known direct power control(DPC)technique in grid-connected photovoltaic(PV)systems is ***,the DPC is executed using a look-up table procedure based on the error between the actual and reference values of the active and reactive ***,the structure of the DPC is simple and results in a fast transient behavior of the inner current loop(injected currents).Therefore,in the current study,the DPC is reformulated using a dead-beat *** this formulation,the reference voltage vector(RVV)is obtained in theα-βreference ***,the switching states for the inverter can be obtained based on the sign of the components of the *** suggested DPC is compared with the conventional one and other switching tables,which are intended for performance ***,an extended Kalman filter(EKF)is utilized to eliminate all grid-voltage ***,the switching frequency of the proposed technique is minimized without any need for weighting factors or cost function *** overall control technique is validated using a hardware-in-the-loop(HIL)experimental set-up and compared with other schemes under different operating conditions.

关键词： Photovoltaic(PV)system direct power control(DPC) sensorless control switching frequency minimization weighting factor

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Revisiting the thermal ageing on the metallised polypropylene film capacitor:from device to dielectric film

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High Voltage 2023年第2期8卷 305-314页

作者： Yushuang He Feipeng Wang Guoqiang Du Lei Pan Kaizheng Wang Reimund Gerhard Ronald Plath Pawel Rozga Pavel Trnka State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing UniversityChongqingChina Faculty of Electrical Engineering Kunming University of Science and TechnologyKunmingChina Soft Transducer Materials and Systems Universität PotsdamPotsdamGermany Faculty IV Electrical Engineering and Computer Science Technische Universität BerlinBerlinGermany Institute of Electrical Power Engineering Lodz University of TechnologyLodzPoland Faculty of Electrical Engineering University of West BohemiaPilsenCzech Republic

Metallised polypropylene film capacitors(MPPFCs)are widely used in power electronics and are generally degraded by elevated *** work aims to determine the relationships between the structural changes of MPPFC and the microstructural variations of the PP film during the thermal ageing of MPPFC at 100℃ for 38 *** capacitance of MPPFC has a slight decrease during thermal ***,the breakdown voltage of the MPPFC decreases by 39.4%by the *** partial discharge(PD)number of MPPFC increases linearly with ageing *** tear-down analysis of the MPPFC reveals that the molecular structure of the PP film has not been altered but has led to molecular chain scission and the generation of some polar fragments/***,the relative permittivity of the PP films rises as the ageing time ***,thermal ageing causes the conversion of aluminum to alumina in the metallised electrode,which is hydrophilic for polar groups and leads to an adhesion effect between the metallised electrodes and the PP *** angle measurements prove that the surface hydrophilicity of the PP sample increased after thermal ***,the PD/breakdown voltage in the MPPFC increases/decreases due to the uneven adhesion of the metallised PP film.

关键词： film thermal ageing

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Bridging the gap between theory and practice in local energy sharing - Energy communities in Croatia

Bridging the gap between theory and practice in local energy...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Antić, Mirna Gržanić Capuder, Tomislav Medved, Tomi Faculty of Electrical Engineering and Computing University of Zagreb Department of Energy and Power Systems Croatia Faculty of Electrical Engineering University of Ljubljana Laboratory of Energy Policy Slovenia

ISBN: (纸本)9789531842976

The European directives focus on unlocking the potential of final customers in the clean energy transition. With the recent trend of rising electricity and petrol prices, coupled with reduced investment costs in low-carbon technologies, the installation of photovoltaic solar panels for end customers has become more profitable compared to previous years, leading to a shorter payback period. Additionally, to enhance citizen engagement in the integration of renewable energy sources, various forms of local energy-sharing models are discussed in the literature. This paper elaborates on the regulatory framework and policies at the European level concerning renewable energy communities, citizen energy communities, and collective self-consumption, with a particular focus on Croatia's perspective. It highlights the steps needed to accelerate the realization of energy communities in practice. Under current Croatian regulations, the profit from selling surplus community energy to the supplier cannot be directly remunerated to community members. The results indicate that community members could achieve 20% lower electricity costs annually if the surplus energy were directly remunerated. To avoid losing potential profits from excess energy, the paper models an investment in a community-owned battery storage system, aiming to increase community self-consumption and minimize the amount of energy sold to suppliers. It is shown that with a static sharing scheme, individual community members' costs can decrease by 11% to 16%, and by up to 20% with a dynamic scheme compared to cases where profit from excess energy cannot be directly remunerated to community members. © 2024 IEEE.

关键词： Clean energy

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Islanding Detection In Bulk power systems: A Data-Driven Approach

Islanding Detection In Bulk Power Systems: A Data-Driven App...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Golpîra, Hêmin Kuzle, Igor University of Kurdistan Power Systems Modeling & Simulation Lab. Department of Electrical Engineering Sanandaj Iran University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9789531842976

An attempt is made to propose a data-driven approach for detecting islanding in large-scale power systems. The method utilizes data collected by phasor measurement units (PMUs) to develop an equivalent model of the system. In this model, the system is represented by multiple centers of inertia (COIs) linked to a central point known as the center of gravity (COG) through fictitious reactances. These reactances, which are interpreted as the electrical distances between the local COIs and the COG, serve as a valuable indicator for detecting islanding. The occurrence of islanding can be identified by comparing the temporal trends of electrical distance variations across different areas. The effectiveness of the proposed methodologies is evaluated using simulated data from the 73-bus IEEE test system. © 2024 IEEE.

关键词： Phasor measurement units

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OPTIMAL REACTIVE power DISPATCH IN ACTIVE DISTRIBUTION power systems USING GREY WOLF OPTIMIZER

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: electrical engineering and Computer Science 2022年第3期84卷 235-246页

作者： Ianțoc, Andreea Bulac, Constantin Sidea, Dorian Electrical Power Systems Department Faculty of Energy Engineering University POLITEHNICA of Bucharest Romania

The aim of the article is to implement and test the Grey Wolf Optimizer (GWO) for identifying the optimal reactive power dispatch (ORPD) in an active distribution network. The optimization problem is a multi-objective one consisting in keeping minimum power losses, while maintaining bus voltages close to their rated value. The performances of the GWO are evaluated through a comparative study between three meta heuristic algorithms – GWO, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The study is conducted on the test network IEEE 33, modified by integrating some distributed generation (DG) and capacitor banks (CBs). © 2022, Politechnica University of Bucharest. All rights reserved.

关键词： Distributed power generation

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