MATEC Web Conf.
Volume 336, 20212020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
|Number of page(s)||5|
|Section||Industrial Design and Engineering Technology|
|Published online||15 February 2021|
Multi-objective optimization of solar thermal photovoltaic hybrid power generation system based on NSGA-II algorithm
1 Power Grid Technology Center, State Grid Hebei Electric Power Research Institute, 050000 Shijiazhuang, China
2 State Grid Xiong’an Digital Technology Co., Ltd, 071000 Baoding, China
3 School of Electronic and Control Engineering, North China Institute of Aerospace Engineering 065000 Langfang, China
* Corresponding author: email@example.com
In this paper, NSGA-Ⅱ is used to realize the dual-objective optimization and three-objective optimization of the solar-thermal photovoltaic hybrid power generation system; Compared with the optimal solution set of three-objective optimization, optimization based on technical and economic evaluation indicators belongs to the category of multi-objective optimization. It can be considered that NSGA-Ⅱ is very suitable for multi-objective optimization of solar-thermal photovoltaic hybrid power generation system and other similar multi-objective optimization problems.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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