基于改进奇诺多面体的需求侧资源可行域聚合研究

Research on demand side resource feasible region aggregation based on improved zonotope

近年来,柔性负荷、储能、电动汽车等需求侧灵活性资源迅速发展,这些资源可以在不影响用电质量和用户体验的前提下,灵活地调节电能的消耗和储存,更好地维护电网的稳定运行。然而由于需求侧资源大多容量小、特性各异且分散在底层,在实际调度时通常考虑将其进行整合为一个聚合模型。为此,提出了一种基于改进奇诺多面体的需求侧资源可行域近似及高效聚合方法。首先基于自下而上的思路,通过奇诺多面体去近似刻画单个需求侧资源的可行域,其次提出奇诺多面体生成器的一般构造形式,使其近似精度得以进一步提高,最后基于闵可夫斯基和得到需求侧资源的聚合模型,并通过算例分析验证所提模型在计算精度和计算速度方面的有效性。

In recent years,there has been a rapid development of demand-side flexibility resources,such as flexible loads,energy storage,electric vehicles,etc.These resources can flexibly regulate the consumption and storage of electricity without affecting the quality of elec⁃tricity consumption and user experience,and can better maintain the stable operation of the power grid.However,given that most of the de⁃mand-side resources have small capacity,different characteristics and are scattered at the bottom layer,their integration into an aggregated model is usually considered in practical scheduling.For this,a feasible region approximation and efficient aggregation method for demandside resources based on improved zonotope is proposed.Firstly,the feasible region of individual demand-side resources is approximated by the zonotope based on the bottom-up idea,and the general construction form of the zonotope generator is proposed to further improve the approximation accuracy,and finally the aggregation model of demand-side resources is obtained based on the Minkowski sum and the va⁃lidity of the model proposed in terms of computational accuracy and speed is verified through the analysis of the calculation examples.