期刊
SOLAR ENERGY
卷 210, 期 -, 页码 68-86出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.solener.2020.07.066
关键词
Probabilistic forecasting; Solar power; Power markets; Solar integration
资金
- U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under the Solar Energy Technologies Office [DE-EE0008215]
As one of the fastest growing renewable energy sources, the integration of solar power poses great challenges to power systems due to its variable and uncertain nature. As an effective approach to promote the integration of solar power in power systems, the value of probabilistic forecasts is being increasingly recognized in the recent decade. While the current use of probabilistic forecasts in power systems is limited, enormous amount of research has been conducted to promote the adoption of probabilistic forecasts and many methods have been proposed. This paper gives a comprehensive review on how probabilistic solar forecasts are utilized in power systems to address the challenges. Potential methods to deal with uncertainties in power systems are summarized, such as probabilistic load flow models, stochastic optimization, robust optimization, and chance constraints. In addition, specific areas where these methods can be applied are discussed and state-of-the-art studies are summarized.
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