Genetic Algorithm Based PV Solar Power Simulation Optimization under Dust and Weather Uncertainties

• Main Authors: CHENG,CHUNG-YING, 程俊穎
• Other Authors: YIN, PENG-YENG
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/84730127290503996830

碩士 === 國立暨南國際大學 === 資訊管理學系 === 104 === There exists lots of solar energy literature, but little describes the relationship between dust accumulation, weather impact and the output of PV array. This paper applies Monte Carlo simulation method to model the noted relationship between the uncertainties of dust accumulation and solar radiation caused by weather impact. We then develop genetic algorithms to optimize the configuration of solar PV arrays. The interactions between the three uncertain factors are calculated and analyzed. The experimental results manifest that our proposed simulation optimization models can successfully integrate the three uncertain factors and accurately predict the output of solar PV plants.