论文标题
具有生产商网络的智能仪表数据驱动的分销率模型
A Smart Meter Data-driven Distribution Utility Rate Model for Networks with Prosumers
论文作者
论文摘要
由于能源技术的进步,世界各地的分销网格正在发生深刻的变化。运输部门的电气化以及分布式能源(DER)的整合,例如光伏特面板和储能设备,已经获得了实质性的动力,尤其是在网格边缘。网格技术方面的转换可能直接与现有的分销公用事业零售关税结构发生冲突。我们提出了一个智能电表数据驱动的速率模型,以恢复分布网络相关的费用,在此,这些网格边缘技术的实施与电力生态系统中各个利益相关者的利益一致。该模型设想了从基于KWH的最终用户的转变,向他们收取“网格访问费”,该费用近似于最终用户对本地分销网络的影响。提议的费率包括两个影响分销公用事业(DU)的成本指标,即客户需求的“幅度”和“可变性”。提议的利率可以应用于无用的生产商和常规消费者。
Distribution grids across the world are undergoing profound changes due to advances in energy technologies. Electrification of the transportation sector and the integration of Distributed Energy Resources (DERs), such as photo-voltaic panels and energy storage devices, have gained substantial momentum, especially at the grid edge. Transformation in the technological aspects of the grid could directly conflict with existing distribution utility retail tariff structures. We propose a smart meter data-driven rate model to recover distribution network-related charges, where the implementation of these grid-edge technologies is aligned with the interest of the various stakeholders in the electricity ecosystem. The model envisions a shift from charging end-users based on their KWh volumetric consumption, towards charging them a "grid access fee" that approximates the impact of end-users' time-varying demand on their local distribution network. The proposed rate incorporates two cost metrics affecting distribution utilities (DUs), namely 'magnitude' and 'variability' of customer demand. The proposed rate can be applied to prosumers and conventional consumers without DERs.