Abstract
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.
Highlights
Research background and its significanceEnergy is one of the resources that mankind depends on for survival. With economic development and the increase of global population, global energy consumption has increased sharply, and the consumption of fossil energy such as coal, oil, and natural gas has increased rapidly
The purpose of mixing PV and CSP power plants is mainly to reduce costs and achieve a higher capacity factor, thereby increasing the competitiveness of solar power generation [7]
Export the optimization results from the work area, and draw the levelized electricity costnegative capacity factor dual-objective optimization curve and the levelized electricity costnegative capacity factor-unit capacity initial investment cost three-objective optimization curve as shown in the figure
Summary
Energy is one of the resources that mankind depends on for survival. With economic development and the increase of global population, global energy consumption has increased sharply, and the consumption of fossil energy such as coal, oil, and natural gas has increased rapidly. The EU has reached an agreement on the share of renewable energy in 2030, requiring that the share of renewable energy in EU energy production be increased to 32%, and this share will rise to 100% in 2050. Under this background, two emerging renewable energy utilization technologies, photovoltaic (PV, referred to as photovoltaic) and solar thermal technology (concentrating solar power, referred to as CSP), are about to usher in rapid development. Antonio Greco researched a photovoltaic power plant panel inspection method based on deep learning [2]. The research on multi-objective optimization of solar thermal photovoltaic hybrid power generation system based on NSGA- II algorithm is still insufficient
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