论文标题
关于具有高容量分布式能源的系统中负载的统计建模
On Statistical Modeling of Load in Systems with High Capacity Distributed Energy Resources
论文作者
论文摘要
分布式能源资源的出现导致了电力网络的运营和计划中的新挑战。特别重要的是引入新的复杂性层，该层以新的不确定性形式表现出来，这些不确定性可能严重限制了现代电力系统的弹性和可靠性。例如，越来越多的非常规载荷（例如插件电动汽车）的采用可能导致不确定的消费者需求模式，这些模式通常以能源消耗的随机不良峰进行特征。在2021年上半年，电动汽车销售增长了近160％，因此占全球汽车市场新销售额的26％。本文研究了通用混合模型在使用高容量分布式能源（例如插件电动汽车）增强系统中总负载量的统计表示的适用性。
The emergence of distributed energy resources has led to new challenges in the operation and planning of power networks. Of particular significance is the introduction of a new layer of complexity that manifests in the form of new uncertainties that could severely limit the resiliency and reliability of a modern power system. For example, the increasing adoption of unconventional loads such as plug-in electric vehicles can result in uncertain consumer demand patterns, which are often characterized by random undesirable peaks in energy consumption. In the first half of 2021, the electric vehicle sales increased by nearly 160%, thus accounting for roughly 26% of new sales in the global automotive market. This paper investigates the applicability of generalized mixture models for the statistical representation of aggregated load in systems enhanced with high capacity distributed energy resources such as plug-in electric vehicles.
