A Grid-based Numerical Weather Prediction Method for Multi-output Prediction of Regional Photovoltaic Power
The short-term power prediction of regional photovoltaic (PV) is one of the important bases for the provincial and above power grid control center to make power generation plans and improve the photovoltaic consumption. In essence, short-term photovoltaic power prediction is to build a mapping model...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2024-03-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202305029 |
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| Summary: | The short-term power prediction of regional photovoltaic (PV) is one of the important bases for the provincial and above power grid control center to make power generation plans and improve the photovoltaic consumption. In essence, short-term photovoltaic power prediction is to build a mapping model between numerical weather prediction and actual power. In order to improve the prediction accuracy, the grid-based numerical weather prediction and residual network were used in this paper to establish a multi-output prediction model of regional photovoltaic, and fully explore the correlation between the distribution of meteorological resources and the power of each photovoltaic power station in the regional photovoltaic space, thus identifying the grid-based numerical weather prediction as input and the power of each photovoltaic power station in the region as output. The simulation was carried out by use of actual operation data. The results showed that the proposed method was superior to the existing proven methods in predicting the power and total power of each photovoltaic power station. |
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| ISSN: | 1004-9649 |