Title of article :
An ant direction hybrid differential evolution algorithm in determining the tilt angle for photovoltaic modules
Author/Authors :
Chang، نويسنده , , Ying-Pin، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Pages :
8
From page :
5415
To page :
5422
Abstract :
This paper presents an approach which combines the orthogonal array experiment technique and an ant direction hybrid differential evolution algorithm (ADHDEOA) in determining the tilt angle for photovoltaic (PV) modules. In this study, an orthogonal array (OA) is first conducted to obtain the initial solution. Next, an ant direction hybrid differential evolution (ADHDE) is applied to search for a near optimum solution. The purpose of this research is to maximize the output power of the module. The sun’s position at any time and location was predicted by the mathematical procedure of Julian dating; then, the solar irradiation was obtained at each site under a clear sky. The searching for global optimal solution is applied to a practical experimental system. The results show that the annual optimal angle for the Taipei area is 23.18°; for Taichung, 22.32°; for Tainan, 21.62°; for Kaosiung, 20.83°; for Hengchung, 20.27°; for Hualian, 22.18°; and for Taitung, 20.89° in seven Taiwanese areas, and the actual best annual tilt angles are close to the computer simulation results.
Keywords :
Ant direction hybrid differential evolution , orthogonal array , Photovoltaic , Tilt angle
Journal title :
Expert Systems with Applications
Serial Year :
2010
Journal title :
Expert Systems with Applications
Record number :
2348147
Link To Document :
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