Prediction of Photovoltaic Power Based on SSA-BP Algorithm with Chaotic Mapping

Photovoltaic (PV) power generation is of great significance to the energy reform in China. In order to better grid-connect PV, maximize the utilization of light resources, and reduce the adverse effects on the power grid due to the uncertainty and randomness of light energy, we need to study the pow...

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Bibliographic Details
Published inE3S web of conferences Vol. 423; p. 1009
Main Author Li, Zihan
Format Journal Article Conference Proceeding
LanguageEnglish
Published Les Ulis EDP Sciences 01.01.2023
Subjects
Algorithms
Photovoltaic cells
Photovoltaics
Predictions
Solar power generation
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Summary:Photovoltaic (PV) power generation is of great significance to the energy reform in China. In order to better grid-connect PV, maximize the utilization of light resources, and reduce the adverse effects on the power grid due to the uncertainty and randomness of light energy, we need to study the power generation of PV. This paper discusses the factors affecting the efficiency of PV power generation and the related prediction algorithms in the light of current literature and further uses software to optimize the algorithm for PV prediction.
Bibliography:ObjectType-Conference Proceeding-1
SourceType-Conference Papers & Proceedings-1
content type line 21
ISSN:2267-1242
2555-0403
2267-1242
DOI:10.1051/e3sconf/202342301009