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
Related posts
watchOS 273 Beta: Siri Recap & Live Rewind Unveiled
0dev.to AI
0.45% vs. 6.67%: The AI SDR Metric Nobody Defines
0dev.to AI
Salesforce Koa Explained: A CRM Reasoning Model Built for Agentforce
0dev.to AI
How we used a Grok Bot army to build products and get them found
0dev.to AI
Catch LLM regressions in CI before your users do
0dev.to AI
Backup Power for Chip Fabs and Financial Institutions: Designing Diesel Generator Systems for Zero-Interruption Operations
0dev.to DevOps