Optimal model parameter estimation of solar and fuel cells using improved estimation of distribution algorithm
| Autor: | S. Paul Sathiyan, A. Immanuel Selvakumar, Benin Pratap Chandran, G. Shine Let |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Optimization
Mathematical optimization Computer science 020209 energy Population 02 engineering and technology law.invention law Estimation of distribution algorithm Solar cell 0202 electrical engineering electronic engineering information engineering Parameter estimation Local search (optimization) education education.field_of_study business.industry 020208 electrical & electronic engineering Fuel cell General Engineering Engineering (General). Civil engineering (General) Renewable energy Nonlinear system Electricity TA1-2040 business Energy (signal processing) |
| Zdroj: | Ain Shams Engineering Journal, Vol 12, Iss 2, Pp 1693-1700 (2021) |
| ISSN: | 2090-4479 |
| Popis: | Renewable energy through the use of fuel cells and solar cells is one of the popular developments in recent days that produce electricity. Accurate modelling of fuel cell and solar cells are essential in simulation and analysis of energy systems with these sources. However, the systems are extremely nonlinear and complicated. The model needs to be optimized under distinct operating circumstances. Enhanced and streamlined Improved Estimation of Distribution (IED) Algorithm is suggested in this paper to estimate the parameter through optimization for solar cell models and fuel cell models. This is accomplished through the introduction of an ideal approach to improve population quality and the use of a local search to improve the efficiency of the finest global solution further. The design of an IED algorithm is much more straightforward and search efficiency is greatly improved compared with the fundamental optimization techniques from the literature. |
| Databáze: | OpenAIRE |
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