The increasing uptake of distributed energy resources (DERs) such as rooftop solar and batteries poses significant challenges in managing low-voltage networks under current and future conditions. By integrating dynamic operating envelopes (DOE) with demand response (DR), customers will benefit from increased utilisation of their DER assets, while distribution network service providers will ensure secure network operation within statutory limits.

This work primarily focuses on reimplementing and expanding existing work on a DOE-centric DR scheme that is reliable and scalable under various network conditions. A physics-based DOE feasibility with respect to DR capacity is assessed via the projection of household DOE connections through an iterative exploration of the underlying network model.

The Alternating direction Method of Multipliers (ADMM) optimisation algorithm is employed for DR that ensures scalable and distributed calculation of customer set points across the network. Furthermore, a framework is proposed for projecting socio-economic considerations onto the network using DR capacity and DOEs to improve flexibility for DR aggregators. The overall implementation carried out in Julia programming language has shown increases in performance and flexibility of implementation to support further exploration in future work. The simulation results validated in a real network suggest that the solving for customer set-points within these DOEs and in response to DR pricing signals ensures network integrity and scalability.

Overall approach