基于Wasserstein距离的分布式电源出力场景划分

Distributed Power Supply Scene Segmentation Based on Wasserstein Distance

经济的发展伴随着能源的消耗,随着人们对环境要求的越来越高,可再生清洁能源发电得到充足的研究。文章首先介绍了风力发电和光伏发电的电能转换特性以及有功出力不确定性问题:对于风的动能到电能、太阳光能到电能的过程进行推导建模;之后选取了合适的概率密度模型对风速、光照强度进行拟合,为研究波动性能源发电奠定了基础;之后基于Wasserstein距离对风、光发电进行场景划分,从而将发电的不确定性问题转化为确定性问题。最后对某地的风力、光伏出力进行场景划分,对其典型场景进行分析验证了所提方法的工程实用性。

The development of the economy is accompanied by the consumption of energy.As people's demands for the environment are getting higher and higher,renewable and clean energy power generation has been fully studied.The article first introduces the electric energy conversion characteristics of wind power generation and photovoltaic power generation and the uncertainty of active output:the modeling of wind kinetic energy to electric energy,solar energy to electric energy;then selects the appropriate probability density model for wind speed The light intensity is fitted to lay the foundation for the study of volatility energy generation;then the wind and light power generation is divided based on the Wasserstein distance,and the uncertainty of power generation is transformed into a deterministic problem.Finally,the wind and photovoltaic output of a certain place are divided into scenes,and the typical scenarios are analyzed to verify the engineering practicability of the proposed method.