检索结果-内蒙古大学图书馆

IEEE Conference on power Electronics and Renewable Energy (CPERE)

作者： Karam Khairullah Mohammed Saad Mekhilef Muhyaddin Rawa Control and Mechatronics Engineering Department School of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru Malaysia School of Software and Electrical Engineering Faculty of Science Engineering and Technology Swinburne University of Technology Hawthorn VIC Australia Smart Grids Research Group Center of Research Excellence in Renewable Energy and power Systems King Abdulaziz University Jeddah Saudi Arabia Department Of Electrical and computer Engineering Faculty of engineering K. A Care Energy Research and Innovation Center King Abdulaziz University Jeddah Saudi Arabia

Photovoltaic systems (PV) are exposed to various weather conditions during the day and getting the maximum power of a PV system is one of its major challenges. While the conventional methods take time to track the maximum power accompanying the fluctuation around the maximum power. Consequently, several metaheuristic algorithms have been presented to overcome the fluctuating around the maximum power. On the other hand optimization methods will search into entire the PV curve to extract the maximum power. This leads to unnecessary search points during the uniform shading conditions which decrease the convergence speed towards the maximum power. In overcoming the tracking time issues as well as the capacity to distinguish between uniform and partial shading conditions, a quick and efficient tracking technique connected to the grid system was presented in this paper. The proposed system, has been tested using MATLAB/SIMULINK, which includes a boost converter to track the maximum power with a sampling time of 0.05 seconds, While a voltage source converter (VSC) is used to transfer the power generated by solar panels to the grid. The simulation results demonstrated that the proposed method was successfully implemented, with an average tracking time of 0.412 s for different weather conditions. Moreover, the comparison with the conventional method of perturb and observe (P& O) has been presented to evaluate the proposed method’s efficiency.

关键词： Maximum power point trackers Renewable energy sources Fluctuations Simulation Optimization methods power electronics Solar panels

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Inertial Response and Frequency Regulation in the Long-term Based on the Development Strategy of the Latvian power System

Evaluation of Inertial Response and Frequency Regulation in ...

引用

International Conference on Environment and electrical engineering (EEEIC)

作者： Inga Zicmane Svetlana Beryozkina Saulius Gudzius Audrius Jonaitis Sergey Kovalenko Gatis Junghans Jevgenijs Kuckovskis Faculty of Electrical and Environmental Engineering Riga Technical University Riga Latvia College of Engineering and Technology American University of the Middle East Kuwait Department of Electrical Power Systems Kaunas University of Technology Kaunas Lithuania JSC Augstsprieguma tikls (TSO) Riga Latvia Faculty of Electrical and Environmental Engineering Riga Latvia

ISBN: (数字)9781665485371

ISBN: (纸本)9781665485388

The balance of electricity consumption and frequency regulation is the main technical problem in power systems with a high share of renewable energy sources leading to reducing the network inertia. As a result, the same level of imbalance of electricity supply and demand will have a greater impact on the system frequency with low inertia rather than with high. In turn, the problem of the lack or absence of stored energy could become especially acute in the event of an emergency failure of large power plants, not allowing them to fill the lack of power quickly and temporarily. This work aims to study the problem of maintaining the balance of power and frequency within normal operating limits based on the example of a simplified model of the Latvian power system developed in the Siemens PSS/E environment. As a solution, the combined use of synchronous capacitors and energy storage devices (the latter as sources of synthetic inertia) is proposed in case of sudden power changes in generation or load. The frequency response of the power system model has been investigated for both current and future development scenarios considering a significant increase in the share of generation from wind farms as well as the expected energy synchronization of the Baltic States with the energy systems of continental Europe in 2025.

关键词： Wind energy generation Renewable energy sources Supply and demand Europe Wind power generation Wind farms power systems

来源：评论

学校读者我要写书评

暂无评论

基于双光子聚合制造的量子点光纤温度传感器（英文）

引用

激光与光电子学进展 2024年

作者：王超孙盛芝钱滨彭思达冯泽祺邱建荣 Laboratory of Infrared Materials and Devices The Research Institute of Advanced Technologies Ningbo University Institute of Light+X Science and Technology Faculty of Electrical Engineering and Computer Science Ningbo University State key laboratory of fluid power and mechatronic systems Zhejiang University Hangzhou State Key Laboratory of Modern Optical Instrumentation Zhejiang University

Temperature is a common physical quantity with great significance, especially under harsh conditions, such as high voltage, and strong electric/magnetic fields. Here, we demonstrate the development of an all-fiber-optic temperature sensor based on a fiber-end microstructure doped with quantum dots(QDs). The microstructure was fabricated on a fiber tip by two-photon polymerization technology. The results show that the fluorescence intensity of the QDs microstructure reduced with the increase of temperature while the peak position of photoluminescence exhibits a linear change within the temperature range of 26-70 ℃. The developed sensor exhibits a high-temperature sensitivity of 135 pm/℃. The methods developed in our work could have enormous potential for the development of fiber-end temperature sensors.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Effect of increasing the sampling frequency with respect to the bandwidth of the PI controller of current control loop

引用

Transportation Research Procedia 2021年 55卷 935-940页

作者： Daniel Konvicny Pavol Makys Marek Furmanik Department of Power Systems and Electric Drives Faculty of Electrical Engineering University of Zilina Univerzitna 1 010 26 Zilina Slovakia

Paper examines the behavior of a vector-controlled drive with permanent magnet synchronous motor upon changes in the sampling frequency of employed PI controller in current control loop with respect to the bandwidth of said PI controller. Paper analyzes key hardware and software requirements which makes a limitation for sampling frequency and bandwidth increasing.

关键词： bandwidth high sampling frequency field-oriented control permanent magnet synchronous motor

来源：评论

学校读者我要写书评

暂无评论

JuliaGrid: An Open-Source Julia-Based Framework for power System State Estimation

arXiv

引用

arXiv 2025年

作者： Cosovic, Mirsad Kundacina, Ognjen Delalic, Muhamed Teskeredzic, Armin Raca, Darijo Mesanovic, Amer Miskovic, Dragisa Vukobratovic, Dejan Monti, Antonello Faculty of Electrical Engineering University of Sarajevo Bosnia and Herzegovina Institute for Artificial Intelligence Research Development of Serbia Serbia Institute for Automation of Complex Power Systems E.ON Energy Research Center RWTH Aachen University Germany Siemens AG Munich Germany Faculty of Technical Sciences University of Novi Sad Serbia Fraunhofer FIT Aachen Germany

Modern electric power systems have an increasingly complex structure due to rise in power demand and integration of diverse energy sources. Monitoring these large-scale systems, which relies on efficient state estimation (SE), represents a challenging computational task and requires efficient simulation tools for power system steady-state analyses. Motivated by this observation, we propose JuliaGrid, an open-source framework written in the Julia programming language, designed for high performance execution across multiple platforms. The framework implements observability analysis, weighted least-squares and least-absolute value estimators, bad data analysis, and various algorithms related to phasor measurements. To complete power system analysis, the framework includes power flow and optimal power flow, enabling measurement generation for the SE routines. Leveraging computationally efficient algorithms, JuliaGrid solves large-scale systems across all SE routines with competitive execution times compared to other open-source frameworks. These capabilities are validated through simulations on power systems with 10 000, 20 000 and 70 000 buses. © 2025, CC BY.

关键词： power systems computer aided design

来源：评论

学校读者我要写书评

暂无评论

Supervised Artificial Neural Networks by Field-Oriented Control applied to PMSG-based Variable-Speed Wind Turbine

Supervised Artificial Neural Networks by Field-Oriented Cont...

引用

International Smart Grid Workshop and Certificate Program (ISGWCP)

作者： Mohammed Aoumri Abdelkader Harrouz Ibrahim Yaichi Ilhami Colak Korhan Kayisli Virgil Dumbrava Dept. Electrical Engineering University of Ahmed Draϊa Adrar Algeria Dept. Hydrocarbon and Renewable Energy University of Ahmed Draϊa Adrar Algeria Dept. of Electrical and Electronics Eng Faculty of Engin. and Natural Science Istinye University Istanbul Turkey Dept. Electrical and Electronic Engineering Gazi University Ankara Turkey Dept. Electric Power Systems Polytechnic University of Bucharest Bucharest Romania

ISBN: (数字)9798350361612

ISBN: (纸本)9798350361629

Artificial intelligence techniques (AI), especially Artificial Neural Networks (ANN), have a significant impact on the control of electrical machines and power systems. Neural networks have created new and advanced boundaries in controlling power systems and electric generators, and they are already a complex, multidisciplinary technology undergoing dynamic evolution in recent years. This paper presents the application of a control methodology to a permanent magnet synchronous generator (PMSG) in the context of a variable speed wind turbine system. The study particularly focused on exploring the performance and optimization of the wind turbine system through the use of this control approach to extract the maximum amount of variable speed wind energy and address associated errors and problems, the control being studied and applied is Supervised ANN by FOC. The discussion explored the various components and performance of a wind system (WS) through simulations conducted in MATLAB/Simulink.

关键词： Training Technological innovation Wind energy power system dynamics Artificial neural networks Wind power generation Synchronous generators

来源：评论

学校读者我要写书评

暂无评论

Development of Mutal Recognition of Education Approach in Advanced Computer-Oriented engineering Technologies in the Baltic Region

Development of Mutal Recognition of Education Approach in Ad...

引用

International Scientific Conference on power and electrical engineering of Riga Technical University (RTUCON)

作者： Nadezhda Kunicina Anton Rassõlkin Rasa Bruzgiene Darius Plonis Jelena Caiko Institute of Electrical Engineering and Electronics FEEE Riga Technical University Riga Latvia Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology Tallinn Estonia Department of Computer Sciences Faculty of Informatics Kaunas University of Technology Kaunas Lithuania Department of Electronic Systems Vilnius Gediminas Technical University Vilnius Lithuania

The continued improvement and development of study programmes content for mutual recognition of study programmes among the largest technical universities in the Baltic region provides a very good opportunity for regional development as it brings a good advancement in academics and research at the involved universities, allows for more flexible and reliable collaboration with industrial partners, and provides an opportunity to develop new technologies and implement them for regional support. The goal of the development is to promote the involvement of students in the design of adaptive systems by providing them with the necessary set of skills that will allow them to immediately engage in the design of innovative adaptive systems and successfully solve technological challenges that have been identified through the cooperation of educational and research institutions. The adoption of an innovative educational strategy will aid in the creation of new technology and creative solutions even before students begin their studies. Collaboration between academic personnel and industry will help students build their abilities.

关键词：

来源：评论

学校读者我要写书评

暂无评论

E-mobility Protection against Electric Shock 3

E-mobility Protection against Electric Shock

引用

3rd IEEE International Conference and Workshop in Obuda on electrical and power engineering, CANDO-EPE 2020

作者： Novothny, Ferenc Kandó Kálmán Faculty of Electrical Engineering Óbuda University Department of Power Systems Budapest Hungary

ISBN: (纸本)9781728184906

Electric charging columns at workplace and at home are spreading. Not far away is the time when the density of road e-filling stations rivals that of gas stations. The pediatric diseases of the initial establishments are now coming to light. The servicing and maintenance of e-cars now begins. What knowledge should mechanics have? What safety measures does the emergence of higher DC voltage of electric vehicle (hundreds of volts DC arc) require? It is timely to review the necessary security measures and adapt them to the new requirements. In the public consciousness, direct voltage is less dangerous than alternating voltage. This experience stems from a comparison of extra low voltage DC circuits used in cars and low-voltage consumers used in our environment. The dangers of hundreds of volt DC circuits need to be highlighted, attention should be drawn, and a number of measures need to be taken to prevent accidents, and protection devices need to be developed. © 2020 IEEE.

关键词： Electric insulation

来源：评论

学校读者我要写书评

暂无评论

Prototyping of Low-Cost Configurable Sparse Neural Processing Unit with Buffer and Mixed-Precision Reshapeable MAC Array

Prototyping of Low-Cost Configurable Sparse Neural Processin...

引用

International Conference on Parallel and Distributed systems (ICPADS)

作者： Binyi Wu Wolfgang Furtner Bernd Waschneck Christian Mayr Faculty of Electrical and Computer Engineering Technische Universit¨at Dresden Dresden Germany Division of Power and Sensor Systems Infineon Technologies Munich Germany Centre for Tactile Internet with Human-in-the-loop (CeTI) Technische Universität Dresden Dresden Germany

More recently, it has become possible to run deep learning algorithms on edge devices such as microcontrollers due to continuous improvements in neural network optimization algorithms such as quantization and neural architecture search. Nonetheless, most of the embedded hardware available today still falls short of the requirements of running deep neural networks. As a result, specialized processors have emerged to improve the inference efficiency of deep learning algorithms. However, most are not for edge applications that require efficient and low-cost hardware. Therefore, we design and prototype a low-cost configurable sparse Neural Processing Unit (NPU). The NPU has a built-in buffer and a reshapable mixed-precision multiply-accumulator (MAC) array. The computing and memory resources of the NPU are parameterized, and different NPUs can be derived. Besides, users can also conFigure the NPU at runtime to fully utilize the resources. In our experiments, the 200MHz NPU with only 32 MACs is more than 32 times faster than the 400MHzSTM32H7 when inferring MobileNet-Vl. Besides, the yielded NPUs can achieve roofline or even beyond roofline performance. The buffer and reshapeable MAC array push the NPU’s attainable performance to the roofline, while the feature of supporting sparsity allows the NPU to obtain performance beyond the roofline.

关键词： Deep learning Runtime Quantization (signal) Program processors Neural networks Random access memory Prototypes

来源：评论

学校读者我要写书评

暂无评论

Optimizing the operation of established renewable energy storage systems using artificial intelligence

Optimizing the operation of established renewable energy sto...

引用

International Conference on Modern power systems (MPS)

作者： Dragoş Lucian Chiorean Dorin Bică Cristian Gorea Ilie Vlasa Corina-Cătălina Hurducaci Alexandru Mandiş Department of Electrical Power Systems Faculty of Energy Engineering University Politehnica of 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 Distributie Energie Electrică Romania S.A. jud. Cluj Bucharest University of Economic Studies Accounting Doctoral School Bucharest Romania

This paper explores the use of artificial intelligence (AI) for optimizing the operation of energy storage systems obtained from renewable sources. After presenting the theoretical foundations of renewable energy, energy storage, and AI optimization algorithms, the paper focuses on how AI can be applied to improve the efficiency and performance of energy storage systems. Existing case studies are analyzed to highlight the advantages and challenges of using AI in this context. Ultimately, this paper concludes that using AI for optimizing renewable energy storage systems is a promising method to enhance efficiency and contribute to the transition to a low-carbon economy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：