The Superiority of Coronavirus Optimization Algorithm for Optimal Designing of Photovoltaic/Wind/Fuel Cell Hybrid System Considering Cost Minimization Approach to Improve Reliability
8th International Conference on Technology and Energy Management, ICTEM 2023
; 2023.
Article
in English
| Scopus | ID: covidwho-2306324
ABSTRACT
This article proposes the best design for a hybrid system that incorporates wind turbines, solar panels, and fuel cells (FC) to satisfy the load requirement. The design's goal is to reduce the system's energy production costs considering the load supply's reliability. System costs include initial investment costs, operation and maintenance, replacement and replacement costs, and load loss costs. The optimal capacity of the hybrid system's equipment has been calculated with the help of the Coronavirus Optimization Algorithm (COVIDOA). 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 favourable 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 suggested approach, 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. © 2023 IEEE.
Coronavirus Optimization Algorithm (COVIDOA); Distributed Generation Resources; Fuel Cell; Hybrid System; Photovoltaic; Reliability; Renewable Energy Sources; Wind Turbine; Costs; Distributed power generation; Evolutionary algorithms; Fuel cells; Hybrid systems; Investments; Optimization; Renewable energy resources; Solar panels; Wind turbines; Coronaviruses; Fuel cell hybrid systems; Optimization algorithms; Optimization method; Photovoltaics; Production cost; Renewable energy source; Wind-fuel cells; Coronavirus
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
8th International Conference on Technology and Energy Management, ICTEM 2023
Year:
2023
Document Type:
Article
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