Application of Neural Network on Generating Power Forecasting for PV System
Output of photo-voltaic (PV) system is influenced by unconstant solar radiation. In order to forecast the power output of PV system as accurately as possible, a method of solar quantity estimation is required. Therefore, it is proposed a method of neural network to estimate solar quantity, and the r...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2010-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2095-3631.2010.03.007 |
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| Summary: | Output of photo-voltaic (PV) system is influenced by unconstant solar radiation. In order to forecast the power output of PV system as accurately as possible, a method of solar quantity estimation is required. Therefore, it is proposed a method of neural network to estimate solar quantity, and the rationality is confirmed by computer simulations. Then three kinds of neural networks: FFNN, RBFNN and RNN are introduced, and finally the simulation results are properly compared. |
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| ISSN: | 2096-5427 |