Gray-Box Identification and Optimization of Reactor Inductance
Analytical and numerical methods are widely used in the calculation of reactor inductance. However, it cannot meet the need of optimal design in terms of calculation accuracy and efficiency. An identifiable gray-box model for inductance calculation is established based on electromagnetic principles,...
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| Published in | 2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation (CEFC) pp. 1 - 2 |
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| Main Authors | , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
24.10.2022
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Analytical and numerical methods are widely used in the calculation of reactor inductance. However, it cannot meet the need of optimal design in terms of calculation accuracy and efficiency. An identifiable gray-box model for inductance calculation is established based on electromagnetic principles, and a sample data set of Inductance is generated by numerical simulation. The elite-retaining genetic algorithm is used to identify the parameters of the gray-box model, and the NSGA-III algorithm is utilized to perform the multi-objective optimization design of the reactor. After optimization, the quality and loss of the conductors are greatly reduced. |
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| AbstractList | Analytical and numerical methods are widely used in the calculation of reactor inductance. However, it cannot meet the need of optimal design in terms of calculation accuracy and efficiency. An identifiable gray-box model for inductance calculation is established based on electromagnetic principles, and a sample data set of Inductance is generated by numerical simulation. The elite-retaining genetic algorithm is used to identify the parameters of the gray-box model, and the NSGA-III algorithm is utilized to perform the multi-objective optimization design of the reactor. After optimization, the quality and loss of the conductors are greatly reduced. |
| Author | Jin, Liang Zhu, Dengfeng |
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| Snippet | Analytical and numerical methods are widely used in the calculation of reactor inductance. However, it cannot meet the need of optimal design in terms of... |
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| SubjectTerms | Computational modeling Data models Electromagnetic fields Few data gray-box model Inductance Inductors Numerical models Numerical simulation parameter identification |
| Title | Gray-Box Identification and Optimization of Reactor Inductance |
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