Litcius/Paper detail

Adaptive Control of Distributed Energy Resources for Distribution Grid Voltage Stability

Daniel Arnold, Shammya Shananda Saha, Sy-Toan Ngo, Ciaran Roberts, Anna Scaglione, Nathan G. Johnson, Sean Peisert, David Pinney

2022IEEE Transactions on Power Systems26 citationsDOIOpen Access PDF

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 the IEEE 37 and 8500 node test feeders.

Topics & Concepts

Distributed generationGridStability (learning theory)Computer scienceDistributed power generationVoltageVoltage regulationDistributed computingControl (management)Electric power systemControl theory (sociology)Power (physics)Renewable energyEngineeringElectrical engineeringMathematicsPhysicsArtificial intelligenceMachine learningQuantum mechanicsGeometryOptimal Power Flow DistributionMicrogrid Control and OptimizationSmart Grid Energy Management