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.

作为发展最快的可再生能源之一，太阳能的集成由于其可变性和不确定性而对电力系统提出了巨大的挑战。作为一种将太阳能集成到电力系统中的有效方法，概率预测的价值在最近十年中得到了越来越多的认可。尽管目前概率预测在电力系统中的使用是有限的，但是已经进行了大量研究以促进概率预测的采用，并且已经提出了许多方法。本文对如何在电力系统中利用概率太阳预报来应对挑战进行了全面回顾。总结了解决电力系统不确定性的潜在方法，例如概率潮流模型，随机优化，鲁棒优化，和机会限制。此外，讨论了可以应用这些方法的特定领域，并总结了最新技术。