Development of solar power system

• Main Authors: HU,JHIH-HUEI, 胡智惠
• Other Authors: Chen, Fu-Hsien
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/2yyqhu

碩士 === 聖約翰科技大學 === 電機工程系碩士在職專班 === 106 === Electric energy is an important basis for the economic development of a country. It is also an essential energy source of human life. Effective use of solar power can prevent the waste of power resource and increase power supply quality. In micro-grids, accurate photovoltaic prediction has many benefits, like providing proper power scheduling, reducing operating costs even improving power supply reliability. The traditional solar photovoltaic forecasting method designs the prediction model by environmental information and solar photovoltaic module information. The relationship between these two data and the photovoltaic power generation amount is nonlinear. The traditional method is difficult to solve the nonlinear problems. This paper confirms the relationship between input parameters and output generation amount. By the correlation coefficients in the statistics, the relative influence of each parameter can be obtained. In the proposed forecast method, illumination is considered as one of the forecast data. However, if the illumination changes greatly, the fluctuation of power generation and the prediction error will greatly increase.