A smart meter data-driven distribution utility rate model for networks with prosumers

Distribution grids across the world are undergoing profound changes due to advances in energy technologies. Electrification of transportation sector and integration Distributed Energy Resources (DERs), such as photo-voltaic panels storage devices , have gained substantial momentum, especially at grid edge. Transformation technological aspects could directly conflict with existing distribution utility retail tariff structures . We propose a smart meter data-driven rate model recover network-related charges, where implementation these grid-edge technologies is aligned interest various stakeholders electricity ecosystem. The envisions shift from charging end-users based on their KWh volumetric consumption, towards them access fee that approximates impact end-users’ time-varying demand local network proposed incorporates two cost metrics affecting utilities (DUs), namely magnitude variability customer demand. can be applied prosumers conventional consumers without DERs. • Cost-causation Utility Rate Model for networks prosumers. Shift ($ per kWh) price impact. Suitable increasing Grid-Edge. Aligns Revenue Stability Cost-Causation. Ex-Post calculation residential bills real data.