لطفا منتظر بمانید ...
0% Complete
صفحه اصلی
/
سی و دومین کنفرانس بین المللی مهندسی برق
Multiphysics Simulation of the Modified Flux Coupling Type SFCL in VSC-HVDC Network
نویسندگان :
Mohammad Khakroei
1
Ashkan Mirzaei Rajeooni
2
Mahdi Rahimi Pirbasti
3
Hossein Heydari
4
1- Mapna Electric & Control Engineering & Manufacturing
2- MAPNA Generator Engineering and Manufacturing company (PARS)
3- Iran University of Science and Technology (IUST)
4- Iran University of Science and Technology (IUST)
کلمات کلیدی :
DC fault current،Finite Element Method (FEM)،Modified Flux Coupling type SFCL،Multiphysics،VSC-HVDC
چکیده :
In spite of many justifications for the implementation of Voltage Converter-Based HVDC (VSC-HVDC) systems, one of the key barriers to implementing these systems is the absence of DC circuit breakers in high capacities. A superconducting fault current limiter (SFCL) can quickly limit the fault current and effectively decrease the tension on the DC circuit breaker. In this paper, a modified flux-coupling type SFCL (MFC-SFCL) has been proposed to prevent surge current in VSC-HVDC power systems, which has better performance than what has previously been presented. These achieve by multi-physical simulations of a MFC-SFCL which depend on multilateral interaction effects among the three critical delimited superconductivity parameters: current, temperature, and magnetic field, as well as dependent impedance in addition to other specifications in the external power system. As such, the incorporation model on detail involves an interplay or synergy among electrical conductivity, magnetic, and thermal properties. This modeling needs advanced numerical techniques for performing the concurrent processing of the Multiphysics simulations using the Finite Element Method (FEM). Moreover, the analysis of the leakage flux densities and the corresponding electromagnetic forces on the superconducting windings of the SFCL under fault conditions is a further object of this paper.
لیست مقالات
لیست مقالات بایگانی شده
Comparative Analysis of Classical Sleep Staging Classifiers on In-ear EEG Dataset
Ali Yazdanifar - Fatemeh Elahi - Shervin Mehrtash - Alireza Akhavanpour - Reza Ebrahimpour
A Contrast-Aware Real-Time Defect Detection Framework for PCBs Using CLAHE-Enhanced YOLOv8
Mehran Kushesh - Mohammadreza Hassan Nejad Biballan
جایابی بهینه نیروگاه های مقیاس کوچک و منابع تولید توان راکتیو بمنظور افزایش پایداری ولتاژ شبکه انتقال و فوق توزیع خوزستان
مسعود بشیرپور - کیومرث زمانی - محدثه مولایی - امید سروری
Revolutionizing Energy Efficiency: A Case Study on Self-supply of Electrical Energy in the Mobarake Steel Industry
Mahdi Shadi - Seyed Mohammad Shobeiry - Mohammad Sadegh Ghazizadeh - Hassan Mardani
A Combined Channel Approach for Decoding Intracranial EEG Signals: Enhancing Accuracy through Spatial Information Integration
Maryam Ostadsharif Memar - Navid Ziaei - Behzad Nazari
Cascaded Multilevel Inverter with Reduced Switch Count
Mohammadamin Aalami - Ebrahim Babaei - Saeid Ghassem Zadeh
Development of an Air Bearing-Based Linear Nanopositioning Stage
Amirhossein Ghazanfarian - Mahdi Robati - Ali Sadighi
Optimization of Fifth Order Band-Pass Ladder Filter and Statistical Analysis of Reverse Problem
Sayyed Ali Alizadeh - Mahmoud Kamarei
STA-EEGNet: Spatial-Temporal Attention Enhanced EEGNet Architecture with Adaptive Model Compression for Efficient Brain-Computer Interfaces
Mohsen Avesta - Maedeh Avesta - Asma Yousefian Baboukani - Bashir Najafabadian - Mohaddeseh Behjati
بررسی عملکرد تقویت کننده فیبری پالسی نانوثانیه اربیوم ایتربیوم با نرخ تکرار پایین
احسان حمیدنژاد - اصغر غلامی - محمدجواد حکمت
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.7.2