AI & ML
Risk-Aware Dynamic Operating Envelopes for Battery Arbitrage in Unbalanced Distribution Networks
arXiv cs.SY0 views
arXiv:2611.13173v1 Announce Type: new Abstract: Dynamic operating envelopes (DOEs) provide network-aware limits for distributed energy resource scheduling while respecting network operating constraints. This paper develops a risk-aware DOE framework for battery arbitrage in unbalanced three-phase networks using a semidefinite program (SDP). We derive sufficient conditions for exactness of the SDP relaxation, ensuring that the recovered operating points satisfy all constraints of the original AC network model. The method computes hourly active-power DOEs under uncertain load conditions and incorporates them directly into a 24-hour battery arbitrage problem.On a modified IEEE 13-bus feeder, empirical comparisons with unconstrained arbitrage and local Volt--VAR/Volt--Watt control show that DOE-constrained scheduling eliminates the observed out-of-sample voltage violations while retaining 94.6% of the unconstrained arbitrage profit.
Source:https://arxiv.org/abs/2611.13173PreviousFast Sampling or High Gain? iP versus PI ControlNextRobust State-Parameter Estimation in Second-Order Th\'evenin Batteries
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