لطفا منتظر بمانید ...
0% Complete
صفحه اصلی
/
The 5th International Conference on Electrical Machines and Drives
The Influence of Core Geometry and Air Gaps on Magnetic Characteristics and Inductance of Dry-Type Series Reactor
نویسندگان :
Davood Azizian
1
Shohreh Saberi
2
1- دانشگاه آزاد اسلامی واحد ابهر
2- موسسه تحقیقات ترانسفورماتور ایران
کلمات کلیدی :
Dry-Type،Series Reactor،Iron Core،Air Gap،Inductance
چکیده :
The presence of air-gaps in the core limb is one of the key factors in designing the magnetic circuit and inductance calculations in core type series reactors. Variations in the length and number of air gaps not only affect the equivalent permeability and core saturation level but also influence the accuracy of modeling. In this study, an axi-symmetric two-dimensional model for dry-type series reactor was developed using finite element models. The inductance values obtained from the simulation were compared with the actual values and the model have been validated. Using the validated FE model, the effect of iron core's air gaps on the reactor inductance under different loading conditions was investigated
لیست مقالات
لیست مقالات بایگانی شده
Discrete Voltage Vector Modulation Based Model Predictive Torque Control with Reduced Switching Frequency for PMSM Drives
Hossein Bagheri - Siroos Hemmati - Shahram Karimi
A Brief Review of Design and Optimization Methods in Performance Improvement of SynRMs
Amirhassan Mirzaei - Mansoor Rafiee
Investigation of Low-temperature Ethylene Production of Transformer Oil Using New IEC Method
Nima Ajodani-Zanjani - Hossein Karami - Gevork B.Gharehpetian - Arash R. Khoshrou
ماشین مغناطیس دائم با کلیدزنی شار و استاتور کاهش یافته بدون یوغ
سیدرضا موسوی اقدم - میلاد بایرامی پیراقوم
Voltage Harmonics Reduction in WRSGs: A Multi-Objective Approach Using Surrogate Modeling with Enhanced Damping
Ali Amini - Farshid Mahmouditabar - Nick J. Baker - Abolfazl Vahedi
CNN-Based Location Detection of Static Eccentricity in 5-X Resolver
Mahdi Emadaleslami - Farid Tootoonchian
Improved Bearing Faults Detection in Induction Motor Through 2-D Convolutional Neural Network
Seyed Javad Mirmohammad Meiguni - Abolfazl Vahedi - Vahid Rahimi Bafrani - Akbar Rahideh
Cogging Torque Reduction in AFPM Machines using Sinusoidally Shaped Magnets
Naghi Rostami
Groundbreaking Application of the Corona-Virus Search Optimizer Algorithm for Resilient Speed Control and Stability Assessment of Direct Current Motors Under Uncertain Conditions
Peyman Zare - Amir Mohammadian - SeyedJalal SeyedShenava - Babak Mohamadi
Fault Detection and Classification in Induction Motors :An Explainable Convolutional Neural Networks Approach
َAli Vahidi - Amirata Taghizadeh - Mohammadreza Toulabi
بیشتر
ثمین همایش، سامانه مدیریت همایش ها و جشنواره ها - نگارش 44.11.0