Smart meter data-driven dynamic operating envelopes for DERs

This paper proposes a data-driven method for determining dynamic operating envelopes for distributed energy resources in low-voltage distribution networks using smart meter data. The proposed method utilizes voltage sensitivity coefficients, derived from individual consumer/prosumer smart meter data, to estimate the network impedance values. These estimated network impedance values are used to compute dynamic operating envelopes for each distributed energy resource. The estimated impedance values include coupling between phases, which would accurately capture the effects of network unbalance and neutral voltage shift on prosumers. Furthermore, a voltage sensitivity-based capacity allocation for dynamic operating envelopes calculation is presented, and its performance is evaluated against equal kW reduction and maximizing exports objective functions. The proposed framework is tested on an unbalanced, 3-phase 4-wire low-voltage distribution network, and the simulation results show that it can accurately capture network behavior, which would enable the computation of dynamic operating envelopes for networks with unknown or inaccurate topologies. • Utilizing smart meter data to model 3-phase 4 wire unbalanced LV networks. • Considering the effects of the neutral wire and mutual impedances. • Calculating DOEs based on estimated network model. • Utilizing estimated voltage sensitivity coefficients as a DOE allocation strategy. • Analysis on the effect of noise on the proposed method.