1. Development of Cloud-Dust Based Intelligent Maximum Power Analysis System for Photovoltaic
- Author
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Chung-Chi Huang, Chung-Lin Huang, Huang Cong-Hui, Sheng Fone Yang, and Lin Kuan-Chen
- Subjects
Engineering ,Maximum power principle ,business.industry ,Photovoltaic system ,Cloud computing ,General Medicine ,Automotive engineering ,Maximum power point tracking ,Power optimizer ,Electricity generation ,Electronic engineering ,Grid-connected photovoltaic power system ,Design methods ,business - Abstract
In the paper, a cloud-dust based intelligent maximum power analysis system for photovoltaic is proposed. In order to resolve NP problem for photovoltaic, factors of photovoltaic are integrated to cloud-dust based intelligent maximum power analysis system for computing. This study is the development of the maximum power analysis system for photovoltaic, to improve the solar panels effects of the different region and enable them to get maximum efficiency of the power generation. The design methodology of this study includes: (1) The monitoring and control Module (2) The prediction and evaluation module (3) The performance diagnosis module (4) The maintenance prescription module. At last, we can find the advantages of the cloud-dust based intelligent maximum power analysis system for photovoltaic. It increases overall competitive performance of products, reduces cost of products and consummation rates of human resources.
- Published
- 2015
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