基于电力系统双侧随机性的源荷跨时空互补特性研究

Research on the complementary characteristics between power and load across time and space considering the both-side randomness of power system

随着风光等间歇性可再生能源发电的快速发展,以及电动汽车等随机性充放电的新型负荷的不断涌现,源荷两侧的双重随机性加大了电力系统安全稳定运行风险。如何利用不同能源资源及负荷的广域跨时空互补特性,降低系统两侧的随机性和波动性成为学术及工程界关注的热点问题。将电力大数据与跨区互补理论相结合,提出了基于电力大数据的源荷跨时空互补分析模型。通过模拟中国西部与欧洲负荷中心联网,从荷荷互补、源源互补及源荷互补3个维度证明了中国与欧洲具有较大的互补潜力,为下一步全球能源互联网战略构想的落地实施提供理论依据。

With the rapid development of intermittent renewable energy power generation such as scenery and the emergence of new types of random charge and discharge loads such as electric vehicles,the dual randomness between the source and the load increased the risk of safe and stable operation of the power system.How to used the wide-ranging cross-temporal and spatial complementary features of different energy resources and loaded to reduce randomness and volatility on both sides of the system has become a hot issue for academic and engineering circles.Combining power big data with cross-region complementary theory,a source-load space-time complementary analysis model based on power big data was proposed.By simulating the networking of load centers in western China and Europe,we have proved that China and Europe have greater potential for complementarity from the three dimensions of complementarity,complementarity,and complementarity of source and load,providing a theoretical basis for the next step in the implementation of the global energy Internet strategy.