检索结果-内蒙古大学图书馆

2023 International Conference on Smart Energy systems and Technologies, SEST 2023

作者： Barac, Bojana Krpan, Matej Capuder, Tomislav University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9798350397901

The massive penetration of distributed energy resources (DER) encourages the provision of frequency regulation services at the distribution network level following large frequency disturbances occurring at the transmission system side. The availability of reduced-order or aggregated models will facilitate the coordination between transmission and distribution system operators. As there are no models that can capture the dynamics of diverse distributed technologies and their control systems by a unified single device model, this paper presents the single equivalent device based on the virtual synchronous machine (VSM) technology that can subsume the frequency response of different DER and loads. The validation of the proposed model is performed on the adjusted IEEE 9-bus system for different multi-energy systems. Simulated scenarios have demonstrated the accuracy of proposed aggregation with a maximum relative error of 0.1% as well as computational improvement of almost 100%. © 2023 IEEE.

关键词： Electric power distribution

来源：评论

学校读者我要写书评

暂无评论

Incorporating a High-speed Camera in the Lightning Current Measurement System for Wind Turbines 4

Incorporating a High-speed Camera in the Lightning Current M...

引用

4th International Conference on Smart Grid Metrology, SMAGRIMET 2023

作者： Vukovic, Franjo Milardic, Viktor Filipovic-Grcic, Bozidar Stipetic, Nina Franc, Bojan Milos, Dominik University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9798350323597

A lightning current measurement system for wind turbines was developed and tested in the High Voltage Laboratory at the faculty of electrical engineering and Computing, University of Zagreb, to determine actual distributions of lightning current parameters in a particular wind turbine area. The output of the measurement system is a waveform of lightning current. The measurement system consists of two current sensors with different frequency and amplitude ranges and a real-Time controller with two digitizers and a GPS module. The current sensors are Rogowski coils connected to integrators with coaxial cables. The prototype was installed on a wind turbine in a high winter lightning activity area. The current stage of development involves integrating the high-speed camera into the prototype measurement system to obtain the visual confirmation of the waveform measurements and help categorize lightning strikes into downward or upward strikes. The camera control application was developed in LabVIEW. The camera was set to trigger by the real-Time controller. Also, a redundant trigger occurs when there is a change in motion in the camera frame in case the prototype measurement system fails to register a lightning strike and therefore fails to send a trigger signal to the camera. The camera control application was tested in the High Voltage Laboratory by recording a flashover in a spark gap and a flashover on the insulator. © 2023 IEEE.

关键词： High speed cameras

来源：评论

学校读者我要写书评

暂无评论

Line Parameter and Switching State Identification Method for Radial and Meshed Distribution Networks

Line Parameter and Switching State Identification Method for...

引用

2023 International Conference on Smart Energy systems and Technologies, SEST 2023

作者： Matijasevic, Terezija Antic, Tomislav Capuder, Tomislav University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9798350397901

Current major changes in distribution systems require better monitoring from energy utilities to prevent possible issues in the form of deterioration of power quality and stability, voltage oscillations, and many others. However, distribution networks are still characterized by their limited observability, where information such as switching state and line parameters are not known. This constraint further complicates analyses concerning the observations of distribution networks. Therefore, this paper proposes a methodology that, as an answer to these problems, offers machine learning-based algorithms that aim to determine the switching state and line parameters of distribution networks using only collected historical Advanced Metering Infrastructure (AMI) measurements. This model was tested on the radial IEEE 33-bus benchmark system and both meshed and radial real-world distribution networks. The results demonstrate that the proposed method can provide an accurate estimation of line parameters and network topology relying only on voltage magnitudes and active and reactive power measurements. © 2023 IEEE.

关键词： power quality

来源：评论

学校读者我要写书评

暂无评论

SPD Miscoordination in PV systems Due to Lightning Strikes 16

SPD Miscoordination in PV Systems Due to Lightning Strikes

引用

16th International Conference on Applied and Theoretical Electricity, ICATE 2024

作者： Baluja, Osmel Perez Leon Avila, Bernardo Yaser Garcia Vazquez, Carlos A. Cotfas, Daniel Tudor Cotfas, Petru Adrian Breffe, Orlys E. Torres Transilvania University of Braşov Faculty of Electrical Engineering and Computer Science Department of Electronics and Computers Brasov Romania Technological University of Havana Department of Electric Power Systems Faculty of Electrical Engineering Havana Cuba

ISBN: (纸本)9798350388107

This study deals with the coordination of surge protection devices (SPD) in photovoltaic systems (PV). A PV farm model was developed in MATLAB Simulink with all the main components, solar panels, converter, grounding system, power transformer, cables in the DC and AC branches with their capacitances, and surge protection device throughout the installation. It was found that when lightning strikes the grounding system or in the vicinity of the PV installation, the coordination among SPD types 1, 2, and 3 is lost. Miscoordination can cause damage to several elements of the PV system, mainly the inverters. Finally, solutions were proposed to avoid SPD miscoordination during lightning strikes. © 2024 IEEE.

关键词： DC transformers

来源：评论

学校读者我要写书评

暂无评论

A State-Migration Particle Swarm Optimizer for Adaptive Latent Factor Analysis of High-Dimensional and Incomplete Data

引用

IEEE/CAA Journal of Automatica Sinica 2024年第11期11卷 2220-2235页

作者： Jiufang Chen Kechen Liu Xin Luo Ye Yuan Khaled Sedraoui Yusuf Al-Turki MengChu Zhou IEEE the College of Computer Science and Technology Chongqing University of Posts and Telecommunications the Department of Computer Science Columbia University the College of Computer and Information Science Southwest University the Department of Electrical and Computer Engineering Faculty of Engineeringand also with K.A.CARE Energy Research and Innovation CenterKing Abdulaziz University the Center of Research Excellence in Renewable Energy and Power Systems the Department of Electrical and Computer EngineeringFaculty of Engineeringand also with K.A.CARE Energy Research and Innovation CenterKing Abdulaziz University the Department of Electrical and Computer Engineering New Jersey Institute of Technology

High-dimensional and incomplete(HDI) matrices are primarily generated in all kinds of big-data-related practical applications. A latent factor analysis(LFA) model is capable of conducting efficient representation learning to an HDI matrix,whose hyper-parameter adaptation can be implemented through a particle swarm optimizer(PSO) to meet scalable ***, conventional PSO is limited by its premature issues,which leads to the accuracy loss of a resultant LFA model. To address this thorny issue, this study merges the information of each particle's state migration into its evolution process following the principle of a generalized momentum method for improving its search ability, thereby building a state-migration particle swarm optimizer(SPSO), whose theoretical convergence is rigorously proved in this study. It is then incorporated into an LFA model for implementing efficient hyper-parameter adaptation without accuracy loss. Experiments on six HDI matrices indicate that an SPSO-incorporated LFA model outperforms state-of-the-art LFA models in terms of prediction accuracy for missing data of an HDI matrix with competitive computational ***, SPSO's use ensures efficient and reliable hyper-parameter adaptation in an LFA model, thus ensuring practicality and accurate representation learning for HDI matrices.

关键词： Data science generalized momentum high-dimensional and incomplete(HDI)data hyper-parameter adaptation latent factor analysis(LFA) particle swarm optimization(PSO)

来源：评论

学校读者我要写书评

暂无评论

Low Inertia in Ac Microgrid: Analysis and Enhancement 6

Low Inertia in Ac Microgrid: Analysis and Enhancement

引用

6th International Youth Conference on Radio Electronics, electrical and power engineering, REEPE 2024

作者： Emad, Mazen Alhasheem, Mohamed Beshr, Eman Medical Services Sector Ministry of Interior Electrical Power Systems Department Cairo Egypt Aastmt Faculty of Engineering and Technology Electrical and Control Department Cairo Egypt

ISBN: (纸本)9798350382891

This research looks into electrical grids that will soon likely become more intelligent. In light of this, there is a growing need for intelligent, adaptable microgrids that can function both independently and in conjunction with the grid. Black start operation, frequency and voltage stability, active and reactive power flow regulation, active power filtering capabilities, and storage energy management are the features that these small grids are expected to have. Energy can be produced and stored in this way near its points of consumption, improving reliability and lowering losses from big power lines. The key ideas about intelligent microgrid configuration, control, and energy management are reviewed in this study. Attributes-wise, the microgrid can function by utilizing the following three primary hierarchical control levels, just like the main grid.: Primary control on the converter level, Secondary control to adjust the frequency and voltage of the AC grid, and Third-level control over additional global duties determine whether energy is imported or exported for the microgrid. when connected to the main utilities. Advancing one of the above-mentioned control levels or redesigning the microgrid can enhance the stand-alone ac microgrid inertia. © 2024 IEEE.

关键词： Smart power grids

来源：评论

学校读者我要写书评

暂无评论

A Generation Expansion Planning using the PSO-GA algorithm to Reduce Carbon Emissions

A Generation Expansion Planning using the PSO-GA algorithm t...

引用

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

作者： Zadehbagheri, Mahmoud Kuzle, Igor Islamic Azad University Yasuj Branch Department of Electrical Engineering Yasuj*** Iran University of Zagreb Faculty of Electrical Department of Energy and Power Systems Zagreb10000 Croatia

ISBN: (纸本)9789531842976

Generation expansion planning (GEP) is a part of network development planning in which the goal is to determine the characteristics of new power plants that are used to develop the existing productive system. In this article, reducing the number of greenhouse gases in the power system is considered in the long-term planning horizon. In addition, much effort has been made to minimize production costs and maximize power plant profits. According to the results obtained in this paper, the following points can be deduced: Oil power plants are beneficial in both scenarios. For this reason, in both cases, many of these power plants enter the circuit. In the 12-year planning horizon, many liquified natural gas (LNG) power plants have entered the circuit. Nuclear power plants have a large capacity. Also, the maintenance cost of these power plants is low, that's why these power plants are used at the beginning of planning. In the second scenario, fewer LNG power plants are built due to a high tax on LNG plants. Reducing the number of power plants reduces the amount of carbon produced. © 2024 IEEE.

关键词： Carbon capture and utilization

来源：评论

学校读者我要写书评

暂无评论

Genetic Algorithm-Based Optimal EV Charging Station and V2G Allocation with power Factor Control 7

Genetic Algorithm-Based Optimal EV Charging Station and V2G ...

引用

7th International Youth Conference on Radio Electronics, electrical and power engineering, REEPE 2025

作者： Soliman, Ismail A. Tulsky, Vladimir El-Ghany, Hossam A. Abd National Research University 'MPEI' Electrical Power Systems Department Moscow Russian Federation Tanta University Faculty of Engineering Electrical Power and Machines Engineering Department Tanta Egypt

ISBN: (纸本)9798331531836

The worldwide shift toward electric vehicles (EVs) aims to mitigate climate change and reduce pollution. Advancements in battery technology have significantly boosted the EV industry, accelerating the transition from hybrid to fully electric vehicles. To sustain this growth, the widespread availability of EV charging stations (EVCS) is essential. However, integrating EVCS into the distribution network introduces challenges, including potential power system constraints and quality standards violations. This study proposes an optimal approach for integrating EVCS into distribution systems while adhering to power quality constraints, such as minimizing energy losses, enhancing voltage stability, and improving the system power factor. A Genetic Algorithm is employed to define the optimal locations for EVCS, Vehicle-to-Grid (V2G) allocation, and V2G power factor. Simulations are conducted using the radial system IEEE-33 bus, along with load curves and EV charging/discharging profiles, demonstrating the proposed approach's effectiveness in improving voltage stability and reducing energy losses. © 2025 IEEE.

关键词： charging stations electric vehicle optimal allocation power quality vehicle to grid

来源：评论

学校读者我要写书评

暂无评论

Automatic Generation Control for a Two-Area Multi-Source power System with Renewable Energy Using the Komodo Mlipir Algorithm

Automatic Generation Control for a Two-Area Multi-Source Pow...

引用

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

作者： Windiarto Nappu, Muhammad Bachtiar Hasniaty, A. Arief, Ardiaty Hasanuddin University Electricity Market and Power Systems Research Group Department of Electrical Engineering Faculty of Engineering Gowa92119 Indonesia

ISBN: (纸本)9781665471640

This paper represents the use of the Komodo Mlipir Algorithm (KMA) optimization method for automatic generation control (AGC) of a two-area multi-source power system with renewable energy sources (thermal, gas, hydro, and wind). Its aim is to enhance the system's dynamic responses. The FO-PID controller is utilized to acquire KMA-optimized controller parameter values using the integral of time weighted absolute Error (ITAE) objective function to demonstrate the proposed approach. In accordance with the system dynamic response, the FO-PID controller surpasses the regular PID and 2DOF-PID controllers. The FO-PID controller's robustness is also tested in both domains with a step load. Finally, the simulation results reveal that KMA outperforms alternative population-based optimization strategies. Thus, KMA can be one of the options as a controller tuning algorithm for AGC system modeling. © 2023 IEEE.

关键词： Automatic Generation Control (AGC) Fractional Order of PID (FO-PID) Integral of Time weighted Absolute Error (ITAE) Komodo Mlipir Algorithm (KMA) Renewable Energy Sources

来源：评论

学校读者我要写书评

暂无评论

Incremental based PSO for optimal power flow considering wind power producers

Incremental based PSO for optimal power flow considering win...

引用

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

作者： Nappu, Muhammad Bachtiar Waris, Tajuddin Hasniaty, A. Arief, Ardiaty Ajami, Willy Akbar Abdullah, Yusril Ikbal, Rahmat Ramadhani Setiawan, Didin Hasanuddin University Electricity Market and Power Systems Research Group Department of Electrical Engineering Faculty of Engineering Gowa92119 Indonesia

ISBN: (纸本)9781665471640

The optimal power flow (OPF) is a mathematical optimization computation used in electrical power systems engineering to determine the most efficient and cost-effective way to operate a power grid while meeting various constraints and objectives. Furthermore, nowadays, with the increasing assimilation of renewable energy resources like wind and solar power into the grid, the OPF becomes even more critical. These sources are variable and intermittent, and OPF can help manage their integration by adjusting conventional generation and grid infrastructure to maintain system stability and reliability. This manuscript presents how to acquire OPF in power systems with the incorporation of wind power producers (WPP). The objective function of this work is minimizing generation costs and network losses. A modified technique called incremental particle swarm optimization (IPSO) is proposed to resolve the non-convex and non-linear OPF hindrance effectually. IPSO is a variant of the classic PSO in which a new particle is included to the population at each iteration, and the new particle adjusts its position based on information from other particles with "social learning"rules. The WPP outputs are set varies to assess the effectiveness of IPSO OPF for various levels of WPP outputs. Simulations are performed for conventional OPF, PSO OPF, and IPSO OPF and evaluate the efficacy of the proposed method. © 2023 IEEE.

关键词： economic dispatch incremental particle swarm optimization optimal power flow power losses wind power producers

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：