Adaptive Control of Distributed Energy Resources for Distribution Grid Voltage Stability
Daniel Arnold, Shammya Saha, Sy-Toan Ngo, Ciaran Roberts, Anna, Scaglione, Nathan Johnson, Sean Peisert, David Pinney

TL;DR
This paper presents a decentralized, model-free adaptive control scheme for PV smart inverters to maintain voltage stability in distribution grids, even under unstable or malicious control configurations, validated through experiments.
Contribution
It introduces a novel decentralized, communication-free adaptive control method that mitigates inverter instability effects without external configuration.
Findings
Effective stabilization of voltage using the adaptive scheme.
Validated on IEEE 37 and 8500 node test feeders.
Robust against malicious inverter control alterations.
Abstract
Volt-VAR and Volt-Watt functionality in photovoltaic (PV) smart inverters provide mechanisms to ensure system voltage magnitudes and power factors remain within acceptable limits. However, these control functions can become unstable, introducing oscillations in system voltages when not appropriately configured or maliciously altered during a cyberattack. In the event that Volt-VAR and Volt-Watt control functions in a portion of PV smart inverters in a distribution grid are unstable, the proposed adaptation scheme utilizes the remaining and stably-behaving PV smart inverters and other Distributed Energy Resources to mitigate the effect of the instability. The adaptation mechanism is entirely decentralized, model-free, communication-free, and requires virtually no external configuration. We provide a derivation of the adaptive control approach and validate the algorithm in experiments on…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMicrogrid Control and Optimization · Optimal Power Flow Distribution · Smart Grid Energy Management
