Photovoltaic and solar power forecasting for smart grid energy management

Due to the challenge of climate and energy crisis, renewable energy generation including solar generation has experienced significant growth. Increasingly high penetration level of photovoltaic (PV) generation arises in smart grid. Solar power is intermittent and variable, as the solar source at the...

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Bibliographic Details
Published inCSEE Journal of Power and Energy Systems Vol. 1; no. 4; pp. 38 - 46
Main Authors Wan, Can, Zhao, Jian, Song, Yonghua, Xu, Zhao, Lin, Jin, Hu, Zechun
Format Journal Article
LanguageEnglish
Published Beijing Chinese Society for Electrical Engineering Journal of Power and Energy Systems 01.12.2015
Subjects
Atmospheric aerosols
Cloud cover
Economic forecasting
Energy management
Forecasting
Ground level
Irradiance
Photovoltaic cells
Photovoltaics
Renewable energy
Resource management
Smart grid
Solar energy
Solar power
Variability
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Summary:Due to the challenge of climate and energy crisis, renewable energy generation including solar generation has experienced significant growth. Increasingly high penetration level of photovoltaic (PV) generation arises in smart grid. Solar power is intermittent and variable, as the solar source at the ground level is highly dependent on cloud cover variability, atmospheric aerosol levels, and other atmosphere parameters. The inherent variability of large-scale solar generation introduces significant challenges to smart grid energy management. Accurate forecasting of solar power/irradiance is critical to secure economic operation of the smart grid. This paper provides a comprehensive review of the theoretical forecasting methodologies for both solar resource and PV power. Applications of solar forecasting in energy management of smart grid are also investigated in detail.
ISSN:2096-0042
2096-0042
DOI:10.17775/CSEEJPES.2015.00046