0% Complete
صفحه اصلی
/
نهمین کنفرانس بین المللی فناوری و مدیریت انرژی
Enhancing Efficiency in Bidirectional DC-DC Converters through PSO-Based Optimization
نویسندگان :
Saeed Izadi
1
Mahnaz Izadi
2
Khatereh Jabari
3
Behnam Zaker
4
1- Hamedan Azad University
2- Shahid Beheshti university
3- Bu-Ali Sina University
4- Politecnico di Torino
کلمات کلیدی :
Bidirectional DC-DC converters،Dual Active Bridge (DAB) converter،Particle Swarm Optimization (PSO)،Renewable energy،Energy storage
چکیده :
Efficiency is paramount in the design of a DC-DC converter, mainly in electric vehicle applications. This study focuses on minimizing power losses in bidirectional DC-DC converters, which is crucial for optimizing efficiency. The Particle Swarm Optimization (PSO) method minimizes losses under thermal, electrical, and magnetic constraints. Simulation results demonstrate a significant reduction in power losses to 16.84 watts, achieving an impressive efficiency of 93.05. The success of the PSO optimization algorithm in enhancing power converter efficiency is affirmed, making it a suitable choice for such applications. Additionally, the study delves into the integral integration of renewable energy sources and energy storage, emphasizing the pivotal role of bidirectional DC-DC converters in managing fluctuations. It explores the Dual Active Bridge (DAB) converter, offering insights into its structure, characteristics, and applications. The paper introduces a novel contribution using the PSO method for bidirectional DC-DC converter optimization, considering various constraints. The comprehensive exploration covers the bidirectional DC-DC converter structure, losses in each component, formulation of the optimization problem, and the PSO optimization process. The study concludes by summarizing contributions, highlighting the significance of PSO in enhancing bidirectional DC-DC converter performance, and suggesting future research avenues. This work provides a valuable foundation for further exploration in the field.
لیست مقالات
لیست مقالات بایگانی شده
An Economic Model for Optimal placement and Capacity Determination of DGs using Genetic Algorithm
Aidin Shaghaghi - Mohammad Taghitahooneh - Reza Dashti - Rahim Zahedi
Optimizing the management of acid gas flaring in Iran
Seyyed mohammad yahya Maibodi - Hossein Khajepour - Hamidreza Habibiyan
A high gain non-isolated DC-DC converter based on coupled-inductor with low voltage stress on switches for renewable energy applications
Meysam Abdi - Ali Nadermohammadi - Pouneh Aghakhanlou - Kazem Zare - Seyed Hossein Hosseini
Application of Artificial Neural Network in predicting building’s energy consumption
Rahim Zahedi - Alireza Aslani - Arash Gitifar - Omid Noudeh Farahani - Hossein Yousefi
A Levelized Feed-in Tariff to integrate battery into the PV-Connected system
Ali Ashoornezhad - Reza Saberi - Qasem Asadi - Hamid Falaghi
Maximum Power Point Tracking in a Photovoltaic System by Optimized Fractional Nonlinear Controller
Amir Veisi - Hadi Delavari - Fatemeh Shanaghi
عملکرد سیمولاتور توربین بادی متصل به باس DC فلایویل در ریزشبکه تحقیقاتی امیرکبیر
معظمه طالبی خشکرودی - گئورک قرهپتیان
مطالعۀ وضعیت نفوذپذیری زیرسطحی میدان زمین گرمایی شمال غرب سبلان با استفاده از مدل عددی جریان سیال و انتقال حرارت مخزن
میرمهدی سیدرحیمی نیارق
Two-dimensional bilayer phosphorenes: a tunable platform for nanoscale heat energy transfer
Zahra Valiollahi bishe - Mahyar Dehdast - Mohamad Neshat
Assessing the effect of biomass generation technologies on a hybrid AC/DC microgrid resilience enhancement
Seyed Amirhossein Hosseini - Mahsa Ebadat Parast - Mehrdad Bagheri Sanjareh - Mohammad Hassan Nazari - Seyed Hossein Hosseinian
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.1.2