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3rd International Youth Conference on Radio Electronics, electrical and power engineering, REEPE 2021

作者： Vanin, Artem Ellina, Shchurovskaya Nardelli, Pedro Juliano Mashlakov, Aleksei National Research University MPEI Faculty of Electrical Engineering Electrical Power Systems Department Moscow Russia Faculty of Electrical Engineering LUT Control Engineering and Digital Systems Department Lappeenranta Finland Faculty of Electrical Engineering LUT Electricity Market and Power Systems Department Lappeenranta Finland

ISBN: (纸本)9781728183985

Nowadays the installation of distributed energy resources (DERs) is very popular all over the world. DERs bring partial independence from the external grid, fewer interruptions in the electric supply, economic benefits, improvement of the electrical energy quality and the green energy to the systems of the prosumers. However, they also bring network congestions and increase the complexity of the energy management especially when the renewable DERs with their inconstant generation profiles are used. One of the possible solutions for these problems for the prosumers is to organize and join an energy community. Energy community members can both exchange electrical energy to maintain energy balance and sell excess energy to the operator. There are two basic energy management strategies for the community members: collective and individual. This paper focuses on determining the most beneficial one by simulating an energy community with different levels of cooperation and assessing multiple parameters. © 2021 IEEE.

关键词： Python

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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 Russian Federation Department of Relay Protection and Automation of Energy Systems National Research University 'MPEI' Moscow Russian Federation 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： economic analysis energy analysis levelized cost of energy renewable energy solar power plants

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Design and Analysis of a power-to-Hydrogen-to-power-based Multi-Energy Microgrid

Design and Analysis of a Power-to-Hydrogen-to-Power-based Mu...

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2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Elkadeem, Mohamed R. Kotb, Kotb M. Abido, Mohammad A. Tanta University Faculty of Engineering Electrical Power and Machines Engineering Department Tanta Egypt King Fahd University of Petroleum and Minerals Interdisciplinary Research Center for Renewable Energy and Power Systems Saudi Arabia King Fahd University of Petroleum and Minerals Department of Electrical Engineering Saudi Arabia Kfupm SDAIA-KFUPM Joint Research Center for Artificial Intelligence Saudi Arabia

ISBN: (纸本)9781665471640

Today, integrating hydrogen and renewable technologies has become necessary to reach a reliable and economical energy system for modern cities. This paper introduces a design optimization and analysis model for a power-to-hydrogen-to-power (P2H2P)-based multi-energy microgrid (MEµG). The system is proposed to meet the power, heat, and residents-owned electric vehicle charging demands of the hypothetical apartment building in Saudi Arabia. The proposed system comprises a solar PV, wind turbine, battery, fuel cell, electrolyzer, hydrogen storage, and gas boiler. The P2H2P-MEµG was modelled, simulated, and optimized with an objective function to minimize the system lifecycle cost and maximize the renewable energy penetration, considering various system operation constraints. Numerical results enable the optimal capacity sizing and thorough investigation of the positive impacts of P2H2P on operational, economic, and environmental indices of the MEµG compared with other energy system alternatives. © 2023 IEEE.

关键词： electric vehicle Multi-energy microgrid optimization power-to-hydrogen-to-power urban building

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Solution of using battery energy storage systems for power transmission congestion of Ninh Thuan - Binh Thuan power grid

Solution of using battery energy storage systems for power t...

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International Symposium on Applied Science 2024, ISAS 2024

作者： Nguyen, Nhat Nam Hoang, Hai Vu, Duc Quang Truong, Canh Toan Thai, Xuan Tra Vu, Phan Tu Power Systems Department Faculty of Electrical & Electronics Engineering Ho Chi Minh City University of Technology Vietnam National University Ho Chi Minh City Ho Chi Minh City Viet Nam Training Research and Development Centre Power Engineering Consulting Joint Stock Company 2 Ho Chi Minh City Viet Nam

Currently, in order to reduce CO2 emissions to combat climate change as committed at the COP 26-27-28 conferences, many countries around the world, including Vietnam, are strongly transitioning from traditional energies to renewable ones. The development of renewable energy (RE) sources such as wind and solar power contributes not only to supplement and diversify the electricity sources but also to enhance the national energy supply security. However, the rapid and concentrated development of RE sources in some areas causes many disadvantages in the operation of Vietnam power system. Especially, this overdevelopment puts more pressures on the weak interconnected transmission infrastructure of the system. As a result, many RE power plants are forced to reduce their outputs, and hence they cannot feed the full capacity into the power grid. Ninh Thuan - Binh Thuan is a particularly notable area where the local electricity demand is very low while many RE sources have been putting into operation in recent years. As the power system in this region is expected to develop with a high proportion of RE in the future, the negative impact of RE on the transmission is inevitable. To handle this unexpected situation, this paper focuses on studying the impact of RE on the power system in Ninh Thuan - Binh Thuan region by 2025. In this research, the power flow analysis over the time is carried on to identify the overloading locations on the power grid. The solution of using battery energy storage systems (BESS) for Ninh Thuan - Binh Thuan power system is then validated on the analysis platform of ETAP 22.5. The obtained results show that the use of BESSs with reasonable powers, capacities and locations can ensure the stable, safe and reliable operation of the power grid. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Battery storage

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Video-Based Jump Height Estimation in Athletic Performance Testing

Video-Based Jump Height Estimation in Athletic Performance T...

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2023 IEEE International Workshop on Sport, Technology and Research, STAR 2023

作者： Lokas, Ivan Vasilj, Matea Skender, Sven Vucetic, Vlatko Mihaldinec, Hrvoje Dzapo, Hrvoje Ultrax Technologies Software Development Zagreb Croatia Human Performance Laboratory Faculty of Kinesiology Zagreb Croatia Hardware Development Ultrax Technologies Zagreb Croatia Faculty of Electrical Engineering and Computing Department of Electronic Systems and Information Processing Zagreb Croatia

ISBN: (纸本)9798350316056

Jump height estimation is well-studied problem in sports science with a variety of methods proposed over the years. This paper introduces a portable, simple-to-setup and a cost-effective video-based jump height estimation method, and compares it with existing traditional methods that use expensive and specialized equipment. To enable more accurate comparison between different systems, a custom-designed Inertial Measurement Unit (IMU) was used as an additional sensor input. The analysis was performed on eleven female physically active handball players. The dataset consists of three most common vertical jump variations: squat jump, counter-movement jump and counter-movement jump with free arms. The analysis show that our video-based approach achieves comparable results to the traditional methods. © 2023 IEEE.

关键词： Cost effectiveness

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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 Russian Federation 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 Russian Federation 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： solar photovoltaic plant penetration voltage collapse Voltage Stability voltage stability margin

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Bidirectional Adversarial Autoencoders for the design of Plasmonic Metasurfaces

arXiv

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arXiv 2024年

作者： Liu, Yuansan Panisilvam, Jeygopi Dower, Peter Kim, Sejeong Bailey, James Department of Computing and Information Systems Faculty of Engineering and Information Technology University of Melbourne Australia Department of Electrical and Electronic Engineering Faculty of Engineering and Information Technology University of Melbourne Australia

Deep Learning has been a critical part of designing inverse design methods that are computationally efficient and accurate. An example of this is the design of photonic metasurfaces by using their photoluminescent spectrum as the input data to predict their topology. One fundamental challenge of these systems is their ability to represent nonlinear relationships between sets of data that have different dimensionalities. Existing design methods often implement a conditional Generative Adversarial Network in order to solve this problem, but in many cases the solution is unable to generate structures that provide multiple peaks when validated. It is demonstrated that in response to the target spectrum, the Bidirectional Adversarial Autoencoder is able to generate structures that provide multiple peaks on several occasions. As a result the proposed model represents an important advance towards the generation of nonlinear photonic metasurfaces that can be used in advanced metasurface design. © 2024, CC BY.

关键词： Design

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Challenges and Opportunities of Agri-PV systems in a Clean Energy Transition for Rural Areas 12

Challenges and Opportunities of Agri-PV systems in a Clean E...

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12th International Conference and Exposition on electrical and power engineering, EPE 2022

作者： Efremov, Cristina Sanduleac, Mihai Braga, Dumitru Technical University of Moldova Faculty of Energetics and Electrical Engineering Chisinau Moldova University Politehnica of Bucharest Faculty of Energy Enginering Department of Power Systems Bucharest Romania

ISBN: (数字)9781665489942

ISBN: (纸本)9781665489942

A powerful conceptual element in a clean energy transition vision to achieve climate neutrality by 2050 is presented by the development of Agri-PV systems, which have the potential to provide a deep transformation of the agricultural sector. The paper presents an analysis of some of the most important challenges of Agri-PV systems as well as its advantages to make the agricultural sector more resilient and to support delivery of sustainable energy and food all over the world. © 2022 IEEE.

关键词： Renewable energy resources

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Optimal Deep Convolutional Neural Network for Vehicle Detection in Remote Sensing Images

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Computers, Materials & Continua 2023年第2期74卷 3117-3131页

作者： Saeed Masoud Alshahrani Saud S.Alotaibi Shaha Al-Otaibi Mohamed Mousa Anwer Mustafa Hilal Amgad Atta Abdelmageed Abdelwahed Motwakel Mohamed I.Eldesouki Department of Computer Science College of Computing and Information TechnologyShaqra UniversityShaqraSaudi Arabia Department of Information Systems College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Electrical Engineering Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11845Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Information System College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlKharjSaudi Arabia

Object detection(OD)in remote sensing images(RSI)acts as a vital part in numerous civilian and military application areas,like urban planning,geographic information system(GIS),and search and rescue *** recognition from RSIs remained a challenging process because of the difficulty of background data and the redundancy of recognition *** latest advancements in deep learning(DL)approaches permit the design of effectual OD *** study develops an Artificial Ecosystem Optimizer with Deep Convolutional Neural Network for Vehicle Detection(AEODCNN-VD)model on Remote Sensing *** proposed AEODCNN-VD model focuses on the identification of vehicles accurately and *** detect vehicles,the presented AEODCNN-VD model employs single shot detector(SSD)with Inception network as a baseline *** addition,Multiway Feature Pyramid Network(MFPN)is used for handling objects of varying sizes in *** features from the Inception model are passed into theMFPNformultiway andmultiscale feature ***,the fused features are passed into bounding box and class prediction *** enhancing the detection efficiency of the AEODCNN-VD approach,AEO based hyperparameter optimizer is used,which is stimulated by the energy transfer strategies such as production,consumption,and decomposition in an *** performance validation of the presentedmethod on benchmark datasets showed promising performance over recent DL models.

关键词： Object detection remote sensing vehicle detection artificial ecosystem optimizer convolutional neural network

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A New Optimal Centralized Demand Side Management for a Campus Smart Microgrid 32

A New Optimal Centralized Demand Side Management for a Campu...

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32nd IEEE International Symposium on Industrial Electronics, ISIE 2023

作者： Hassan, Mohamed A. Eladl, Abdelfattah A. Sedhom, Bishoy E. Saeed, Mohammed A. King Fahd University of Petroleum & Minerals Interdisciplinary Research Center for Renewable Energy and Power Systems Research Institute Dhahran31261 Saudi Arabia Mansoura University Faculty of Engineering Electrical Engineering Department El-Mansoura Egypt

ISBN: (纸本)9798350399714

Based on demand response and energy theft detection, a novel optimal demand side management (DSM) is proposed for a smart microgrid (SMG). A campus SMG containing photovoltaic (PV), wind turbine, diesel station, smart meters, inverters, batteries, sensors, domestic loads, and central} {DSM unit is built in MATLAB. The SMG elements are communicated using Wi-Fi protocol and internet of things (IoT) technology. The proposed DSM is optimally designed using Grey Wolf Optimization (GWO) to minimize the customer's electricity bill, maximize the user comfort, and obtain the optimal load patterns in the hypothetical campus SMGs. It inspires consumers to alter their daily consumption patterns over a variable tariff according to real-time pricing (RTP), time of use (ToU), and critical peak pricing (CPP) methods. The results proved the proposed technique effectiveness for reducing the user's electricity bill and conserving utility resources through energy theft detection. Finally, the proposed GWO technique is compared with firefly algorithm (FFA) and bacteria foraging algorithm (BFA) to verify its superiority. © 2023 IEEE.

关键词： Internet of things

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