کنفرانس بین المللی فناوری و مدیریت انرژی

صفحه اصلی / هشتمین کنفرانس بین المللی فناوری و مدیریت انرژی

Superiority of Coronavirus Optimization Algorithm for Optimal Designing of Photovoltaic/Wind/Fuel Cell Hybrid System Considering Cost Minimization Approach to Improve Reliability

نویسندگان :

Peyman Zare¹ Iraj Faraji Davoudkhani² Rasoul Zare³ Hossein Ghadimi⁴ Bakhshali Sabery⁵ Ahad Babaei Bork Abad⁶

1- دانشگاه محقق اردبیلی 2- دانشگاه محقق اردبیلی 3- شرکت توزیع نیروی برق استان اردبیل 4- شرکت توزیع نیروی برق استان اردبیل 5- شرکت توزیع نیروی برق استان اردبیل 6- شركت برق منطقه‌ای آذربايجان

کلمات کلیدی :

Renewable Energy Sources،Distributed Generation Resource،Hybrid System،Reliability،Coronavirus Optimization Algorithm (COVIDOA)،Photovoltaic،Wind Turbine،Fuel Cell

چکیده :

This article presents the optimal design of a hybrid system, including wind turbines, solar arrays, and fuel cell systems, to meet the load demand. The purpose of the design is to minimize the costs of energy production by the system, taking into account the reliability of the load supply. System costs include initial investment costs, operation and maintenance, replacement and replacement costs, and load loss costs. The Coronavirus Optimization Algorithm (COVIDOA) algorithm has been used to optimize the hybrid system and determine the optimal capacity of its equipment. The results obtained from the optimization have been compared and analyzed with those obtained from the Differential Evolution (DE) algorithm. The results have shown that the COVIDOA optimization method, like the DE optimization method, has obtained favorable results. In the COVIDOA method, the system's production costs have increased slightly, but the reliability of the load supply has been improved. Therefore, in the proposed method, in addition to considering the economic aspect of the design, much attention has been paid to the technical aspect of the design, in other words, the reliability level of the system.