Coordinated Dynamic Operating Envelopes for Unlocking Additional Flexibility at Grid Edge
For distribution grid operators, this work provides a method to unlock additional flexibility from coordinated distributed energy resources while maintaining network limits and fairness.
This paper proposes a convex, geometry-aware framework for constructing dynamic operating envelopes (DOEs) that accounts for partial coordination among customers, fairness constraints, and forecast uncertainty. Coordinating 30% of customers increased the achievable aggregate active-power injection range by approximately 25% relative to the non-coordinated baseline.
Dynamic operating envelopes (DOEs) provide a systematic framework to integrate the flexibility of distribution grid resources while safeguarding network limits such as line ratings and voltage bounds. However, the flexibility derived from individual DOEs is often restricted and conservative, especially when some resources can coordinate via communication with an aggregator. This paper presents a convex, geometry-aware framework for constructing DOE for distribution grid customers under partial coordination, with coordinated customers modeled through polytopal flexibility sets and non-coordinated customers through hyperrectangles. The framework additionally incorporates fairness constraints for export and import headroom allocated to the customers within the DOE design. To account for forecast uncertainty in inelastic injections, the DOE design is extended to a robust formulation for bounded uncertainty sets. Case studies on the European Low Voltage Test Feeder indicate that the proposed DOE construction expands total harnessed flexibility, while being consistent with network limits, export/import fairness constraints and is robust to forecast uncertainty. Specifically, coordinating 30% of customers increased the achievable aggregate active-power injection range by approximately 25% relative to the non-coordinated baseline.