0% Complete
صفحه اصلی
/
سی و سومین کنفرانس بین المللی مهندسی برق
A Consensus-Based Approach for Short-Circuit Fault Type Detection in DC Microgrids Using ANFIS
نویسندگان :
Mohammadreza Mohammadhasani
1
Javad Sadeh
2
1- دانشگاه فردوسی مشهد
2- دانشگاه فردوسی مشهد
کلمات کلیدی :
DC microgrid،fault classification،ANFIS،consensus،fault type detection،protection
چکیده :
The integration of Direct Current (DC) microgrids marks an important development in energy systems, especially for incorporating renewable energy sources. However, protecting these microgrids presents unique challenges, particularly in detecting and classifying short-circuit faults. This paper presents a consensus-based methodology that employs the Adaptive Neuro-Fuzzy Inference System (ANFIS) to enhance the detection of fault types in direct current (DC) microgrids. The core aim of this methodology is to integrate data from all grid nodes to achieve a consensus, ensuring high precision in fault detection across a wide range of fault resistance values. By extracting features from voltage and current signals, the system efficiently classifies fault types shortly after a fault occurs. The use of consensus techniques significantly enhances fault identification accuracy by combining the assessments of multiple measurement devices, thus reducing the impact of errors from individual devices. The results show that this consensus-driven approach not only improves reliability but also performs well across different fault resistance scenarios, contributing to the overall safety and dependability of DC microgrid operations.
لیست مقالات
لیست مقالات بایگانی شده
بخشبندی خودکار تصاویر تشدید مغناطیسی ستون فقرات کمری با شبکه سِگیونِت
محمد انصاری فرد - رضا آقایی زاده ظروفی
Design and Implementation of CAN Bus Monitoring Module for Lithium Battery Management System
Shakila Kazempourdizaji - Amir Mohammad Moazami Goudarzi - Majid Shalchian
Design and Modeling of Graphene Based Electro-absorption Modulator Integrated with Hybrid Plasmonic Waveguides
Hadi Soofi - Shima Karkon Bagheri - Hamid Vahed
Robust Consensus for Descriptor Multi-agent Systems with Uncertainties in all Matrices
Abolfazl Saadati Moghadam - Ehsan Ranjbar - Amir Abolfazl Suratgar - Hajar Atrianfar
Deep Learning based Electrical Load Forecasting using Temporal Fusion Transformer and Trend-Seasonal Decomposition
Ehsan Saadipour-Hanzaie - Mohammad-Amin Pourmoosavi - Turaj Amraee
The most descriptive surprise definition for brain’s EEG response to visual and auditory oddball tasks
Mohammad Mahdi Kiani - Zahra Mousavi - Hamid Aghajan
Improved Generative Adversarial Network with Differentiable KS Distance
Siavash Sadeghi Ivrigh - Mohammadreza Hassannejad Bibalan - Asghar Keshtkar
Nonlinear Observer Design via Emulation Method for Sampled-data Teleoperation Systems
Ali Firouzi Abriz - Amir Aminzadeh Ghavifekr - Ashkan Safari
تجزیه و تحلیل امواج فیبریلاتور دهلیزی به منظور طبقهبندی AF با استفاده از موجک لیدر
سارا میهن دوست
Reliability-Based Design of Time-Varying Electricity Tariff
Mohammad Rastegar - Nima Sarajpoor
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2