Multi-objective optimization method based on regarding the high power research
DOI: 10.23977/jeeem.2023.060102 | Downloads: 8 | Views: 510
Author(s)
Yukun Dong 1, Zhaochen Liu 2, Taolue Wu 3
Affiliation(s)
1 School of the Gifted Young, University of Science and Technology of China, Hefei, China
2 School of Computer Science and Technology, University of Science and Technology of China, Hefei, China
3 School of Data Science, University of Science and Technology of China, Hefei, China
Corresponding Author
Yukun DongABSTRACT
The development of science and technology is often accompanied by higher requirements for energy. Wave energy is a kind of renewable energy which can not be ignored. It is widely distributed in the world and has a wide utilization prospect. In this paper, the motion of a "float" wave energy device is analyzed, and it is decomposed into a one-dimensional case and a two-dimensional case for analysis. By adjusting the relevant parameters in the wave energy device, the efficiency of energy conversion is optimized, and the optimal energy conversion is obtained in the case of one and two dimensions. The research has reference value for the manufacture and production of this type of wave energy device.
KEYWORDS
PTO, Maximum Power, Parameter Optimization, SQP Algorithm, Ergodic Search, Multivariate ExtremumCITE THIS PAPER
Yukun Dong, Zhaochen Liu, Taolue Wu, Multi-objective optimization method based on regarding the high power research. Journal of Electrotechnology, Electrical Engineering and Management (2023) Vol. 6: 6-15. DOI: http://dx.doi.org/10.23977/jeeem.2023.060102.
REFERENCES
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