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2023 International Conference on Future Energy Solutions, FES 2023

作者： Herenčić, Lin Capuder, Tomislav Kirac, Mislav Čačić, Goran University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia Zagreb Croatia

ISBN: (纸本)9798350332308

Cost-competitiveness of decentralized renewable energy sources (RESs) has opened opportunities for citizens' ownership of RES and for the development of new business models. Citizen energy investment models based on cooperative principles have gained increased attention lately due to promises to support local economic welfare, boost local economy, increase social cohesion, help in grid optimization, and increase citizens' support for new RES projects. In this paper, we provide an overview of collective citizen energy investment concepts and describe the six types of models being developed in Croatia. We provide an overview of the initiatives together with the challenges, threats, and opportunities found when concepts are faced with the real-life practice in Croatia. We show that even though citizens' ownership of RES (mainly individual solar PV systems) is strongly increasing, the current developments of collective (group) citizen energy investment models are predominantly related to sporadic research projects and enthusiasts' initiatives, meaning still no wider-scope investments in RES have been conducted this way. Following the findings, we provide recommendations for removing the barriers and speeding up the development of such projects in the future. © 2023 IEEE.

关键词： Solar energy

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AI-Enabled Smart Hybrid Energy Optimization Management System for Green Hydrogen-Based Islanded Microgrids 6

AI-Enabled Smart Hybrid Energy Optimization Management Syste...

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6th IEEE Novel Intelligent and Leading Emerging Sciences Conference, NILES 2024

作者： Mohamed, Noor El-Deen M. El Zoghby, Helmy M. Abdelhakam, Mostafa M. Elmesalawy, Mahmoud M. Helwan University Faculty of Engineering Computer and Systems Engineering Department Cairo Egypt Helwan University Department of Electrical Power and Machines Engineering Cairo Egypt Helwan University Faculty of Engineering Electronics and Communications Engineering Department Cairo Egypt

ISBN: (纸本)9798350378511

Renewable hybrid energy systems are crucial for ensuring energy sustainability. This work presents an advanced control and management system for green hydrogen production, leveraging artificial intelligence (AI) and Internet of Things (IoT) technologies. The system optimizes renewable energy utilization, improves hydrogen production efficiency, and ensures a reliable energy supply to meet varying demands. AI algorithms are used, including Random Forest, Artificial Neural Networks (ANN) and Long Short-Term Memory (LSTM) networks to forecast photovoltaic (PV) energy production and load consumption. These models are integrated into a centralized control system that dynamically adjusts energy distribution between immediate consumption and hydrogen production. Using data from the Rye microgrid, the system's effectiveness is demonstrated in enhancing decision-making for energy management in small-scale islanded operations. © 2024 IEEE.

关键词： Clean energy

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Decision Support for power System Restoration: Mitigating Risks of Dynamic Phenomena

Decision Support for Power System Restoration: Mitigating Ri...

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

作者： Vermunicht, Joachim Škrjanc, Tadej Suto, Bence Van Hertem, Dirk Rudež, Urban Raisz, Dávid Leterme, Willem University of Ljubljana Faculty of Electrical Engineering Ljubljana Slovenia Budapest University of Technology and Economics Dept. of Electric Power Engineering Budapest Hungary Dept. Electrical Engineering Ku Leuven Leuven Belgium Etch EnergyVille Genk Belgium Institute of Power Systems and Power Economics Rwth Aachen Germany

ISBN: (纸本)9789531842976

Enhancing existing power system restoration procedures is crucial as renewable energy sources, grid-connected converters, and underground cables become more prevalent. Faster power system restoration is key to achieving higher power system resilience. This paper proposes a systematic approach to re-energize the grid using a Markov Decision Process, while taking into account transient and dynamic phenomena during power system restoration. By quantifying the risks associated with frequency stability, resonant temporary overvoltages, and converter stability, our method informs operators of problematic states that would lead to critical operating points and ultimately set up the restoration process to fail. Furthermore, it calculates an optimal set of actions from a given state, considering these dynamic factors. The assigned costs for all states during power system restoration guide decision-making, ensuring system stability and power balance. © 2024 IEEE.

关键词： Electric power system stability

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Use of battery storage systems in ev ultra-fast charging stations for load spikes mitigation

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

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UPB Scientific Bulletin, Series C: electrical engineering and Computer Science 2021年第2期83卷 283-294页

作者： Radu, Adrian-Toni Eremia, Mircea Toma, Lucian Faculty of Power Engineering Department of Electrical Power Systems University POLITEHNICA of Bucharest Romania

In this paper, we propose a hybrid system consisting of ultra-fast electric vehicle charging stations and battery energy storage systems to improve the operation of the actual electrical network as an energy management strategy to support the integration of EVs ultra-fast charging stations and also for load spikes mitigation. The proposed control approach allows "flexible" EV users and battery energy storage systems to participate in demand response programs, which may play a crucial role in improving stability and efficiency of future smart grids. © 2021, Politechnica University of Bucharest. All rights reserved.

关键词： Secondary batteries

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Active and Reactive power Control in Asymmetrical Cascaded Multilevel Inverter 3

Active and Reactive Power Control in Asymmetrical Cascaded M...

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3rd International Conference on Emerging Trends in electrical, Control, and Telecommunication engineering, ETECTE 2024

作者： Tauseef, Muhammad Fahad Uzair, Muhammad Abbas, Ghulam Power Electronic Systems R&D Ohmitron Inc. Lahore Pakistan Department of Electrical Engineering Faculty of Engineering Islamic University of Madinah Madinah Saudi Arabia Department of Electrical Engineering The University of Lahore Lahore Pakistan

ISBN: (纸本)9798331504861

This paper presents a 27-level multilevel inverter topology employing three H-Bridge modules in conjunction with high-efficiency power conversion. The proposed topology utilizes a cascaded configuration of single-phase H-Bridge inverters, following a 1:3:9 voltage ratio, to produce a 27-level staircase waveform. This grid-supporting inverter can supply reactive power as well as active power, and it has a smooth dynamic response and flexible management of reactive power. The design method is in line with grid compliance norms and improves overall power quality by ensuring minimal harmonic distortion. The modeling and simulation of a 600-kVA inverter have been developed, incorporating a liquid cooling system to enhance thermal management, achieving a high-power density of up to 25 kW/L and a full-load efficiency of 98%. The PLECS environment is used to simulate the proposed complete inverter system under varying conditions. The topology is adaptable for varied power ratings and allows great scalability, according to detailed analysis, making it versatile for a variety of renewable energy and industrial applications. The inverter might greatly enhance the present energy infrastructure and grid stability, as shown by its effective deployment and performance results. ©2024 IEEE.

关键词： Electric power system control

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Sensorless Control with Back EMF Integration Method for E-bike

Sensorless Control with Back EMF Integration Method for E-bi...

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2022 International Conference of Advanced Technology in Electronic and electrical engineering, ICATEEE 2022

作者： Tadrist, Nadia Zeroug, Hocine Electrical Engineering Faculty Characterization and Diagnostic of Electrical High Power Systems Laboratory Algiers Algeria

ISBN: (纸本)9798350346749

With ever-increasing concerns on our environment, there is a fast growing interest in electric bike with a motor mounted either at the front and at the rear wheel. In addition, there it is a pressing need for researchers to develop advanced electric-drive systems. This paper investigates potential performances and describes the running mode of an e-bike for transportation which uses a Brushless DC motor with an outer rotor mounted at the front wheel with a nominal torque of 10Nm and 250W with planetary gear. The controller uses an outer speed and inner current control loop using sensorless technique back-EMF based. It is shown that the e-bike is able to start and run at convenient speed estimated with average minimum speed of 2Km/h and high speed up to 25 Km/h with a battery autonomy lasting up to 2h under semi flat and hilly distance less than 7%. We show that this speed control from low and high speed can be well tuned and adapted to various paths that fits the cyclist own comfort and desired acceleration. Also, the findings show also that the battery autonomy can be doubled if there is intermittent cycling periods. © 2022 IEEE.

关键词： Bicycles

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Modeling and simulating solar and renewable energy systems using artificial intelligence 10

Modeling and simulating solar and renewable energy systems u...

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10th International Conference on Modern power systems, MPS 2023

作者： Gorea, Cristian Porumb, Radu Munteanu, Calin Vlasa, Ilie Chiorean, Dragos-Lucian Bitir-Istrate, Ioan University Politehnica of Bucharest Faculty of Energy Engineering Department of Electrical Power Systems Romania Technical University of Cluj-Napoca Department of Electrical Engineering and Measurements Cluj-Napoca Romania

ISBN: (纸本)9798350326826

This paper explores how artificial intelligence can be used to model and simulate renewable solar energy systems. With the expansion of the use of renewable energy, solar energy systems have become a popular and promising option for electricity generation. However, modeling and simulating these systems can be difficult and expensive. Therefore, this paper analyzes the use of artificial intelligence to improve the process of modeling and simulating renewable solar energy systems. It presents the basic principles of renewable solar energy systems and artificial intelligence, as well as the algorithms and techniques used for modeling and simulating these systems. In addition, the paper focuses on data collection and processing, and the results obtained through simulations are analyzed and compared with other electric power generation systems. The conclusions drawn in this paper suggest that the use of artificial intelligence can improve the performance of renewable solar energy systems and reduce the costs and effort required for modeling and simulating these systems. © 2023 IEEE.

关键词： Smart power grids

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Profitable Investment in PV and BES Integrated with EV Charging Stations in Croatia - Myth or Reality? 7

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

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

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

ISBN: (纸本)9789532901160

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. © 2022 University of Split, FESB.

关键词： Solar panels

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Revenue Metrics Ability to Correctly Register Bidirectional Active Energy Flows in Active Distribution Networks 13

Revenue Metrics Ability to Correctly Register Bidirectional ...

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13th IEEE International Workshop on Applied Measurements for power systems, AMPS 2023

作者： Klusacek, Jan Drapela, Jiri Langella, Roberto Meyer, Jan Brno University of Technology Faculty of Electrical Engineering and Communication Dept. of Electrical Power Engineering Brno Czech Republic University of Campania Luigi Vanvitelli Department of Engineering Aversa Italy Institute of Electrical Power Systems and High Voltage Engineering Technische Universitat Dresden Dresden Germany

ISBN: (纸本)9798350312409

Distributed generation in combination with switching adaptive loads providing optimized energy management in the prosumers' installations results in bidirectional active energy flow. If the changes are frequent or even periodical with period close to the aggregation time window of standard revenue meters, the deviation from really correct readings in export and import registers might be significant. Subsequently, the concepts of allocating the costs of distribution system operation to the network users might fail. The paper presents an overview of the active energy metrics, which are either already implemented in revenue meters or derived from other applications of active power measurement. In the paper, a set of test scenarios is proposed and analysis of the metrics ability to account for the active energy flow and, subsequently, to correctly distinguish between active energy import and export is carried out. The results show the limitations of each metric considered as a function of the frequency/rate of changes in the active energy flow direction. It is demonstrated that the performance of the most adopted metrics exhibits potentially the largest mismatch between the measurements and the actual active energy flows. © 2023 IEEE.

关键词： Energy management

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Next Generation RES-based student residence. A case study 10

Next Generation RES-based student residence. A case study

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10th International Conference on Modern power systems, MPS 2023

作者： Plamanescu, Radu Opreanu, Radu Fiorentis, Efstathios Boicea, Valentin Dumitrescu, Ana-Maria Albu, Mihaela University Politehnica of Bucharest Faculty of Electrical Engineering Bucharest Romania University Politehnica of Bucharest Faculty of Power Systems Engineering Bucharest Romania University Politehnica of Bucharest MicroDERLab Group Bucharest Romania University Politehnica of Bucharest Faculty of Power Engineering Bucharest Romania

ISBN: (纸本)9798350326826

The demand for sustainable and energy-efficient buildings led to an increased focus on the use of renewable energy sources in the construction industry. This article presents a case study of a (next-generation) student residence building (SRB), that could integrate generation from photovoltaic (PV) panels with flexibility in operation given by a battery energy storage sys-tem (BESS). The studied RES-based SRB is designed to provide a comfortable living environment while minimizing energy use and carbon emissions. In this paper, the design and implementation of the proposed generation system, including the selection of the PV technology and the battery storage system, both based on high-reporting rate measurement information is discussed. The energy transfer of the system based on instrumentation values provided by a smart-metering infrastructure from the campus grid is analyzed also by performing digital real-time simulations. This study provides insights into the design and construction of future sustainable and energv-efficient buildings. © 2023 IEEE.

关键词： Energy transfer

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