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.

由于能源技术的进步，全球的配电网正在发生深刻的变化。交通运输行业的电气化以及光伏面板和储能设备等分布式能源的整合已经获得了巨大的动力，尤其是在电网边缘。电网技术方面的转变可能直接与现有的配电公用事业零售电价结构冲突。我们提出了一种智能电表数据驱动的费率模型，以恢复与配电网相关的费用，其中这些网格边缘技术的实现与电力生态系统中各个利益相关者的利益保持一致。该模型设想了从基于最终用户的KWh容量消耗向最终用户收费的转变电网接入费，近似于最终用户的时变需求对其本地配电网的影响。提议的费率包含了两个影响分销公用事业（DU）的成本指标，即客户需求的大小和可变性。提议的费率可以应用于没有DER的生产者和传统消费者。