scholarly journals Multi-objective optimization of solar thermal photovoltaic hybrid power generation system based on NSGA-II algorithm

2021 ◽  
Vol 336 ◽  
pp. 02022
Author(s):  
Liang Meng ◽  
Wen Zhou ◽  
Yang Li ◽  
Zhibin Liu ◽  
Yajing Liu

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.

2013 ◽  
Vol 284-287 ◽  
pp. 839-843
Author(s):  
Jian Long Kuo ◽  
Kai Lun Chao

Abstract. The fuzzy dominant directed graph (fuzzy DDG) method is proposed in this paper to solve the multi-objective optimal mechanical turbine power of river current (RC) power generation system. Recently, there is great potential for the RC power generation system in renewable energy. The experimental Taguchi method is used to find the optimal solution for the power generation system. The optimization problem for the AC generator in RC power generation system is studied. The optimal output power with respect to three selected control factors is studied. By using Taguchi method, five cases are discussed. The testing case is the optimal output power problem. It is convinced that this method is applicable and easy to find the optimal solution quickly.


2013 ◽  
Vol 37 (3) ◽  
pp. 797-805
Author(s):  
Jian-Long Kuo ◽  
Kai-Lun Chao

The fuzzy dominant directed graph (fuzzy DDG) method is proposed in this paper to realize the multi-objective optimal mechanical turbine power of a river current (RC) power generation system. The testing case illustrates the problem with vertex S/N ratio values included. Fuzzy potential values are derived. The experimental results are provided to verify the validity of the fuzzy-DDG method. It is clear that this method is applicable; it easily and quickly finds the optimal solution.


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