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: firstname.lastname@example.org
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.