A Network-Aware Evaluation of Distributed Energy Resource Control in Smart Distribution Systems
2026-04-21 • Computer Vision and Pattern Recognition
Computer Vision and Pattern Recognition
AI summaryⓘ
The authors studied how controlling many small energy sources like solar panels in a power grid depends on communication networks. They tested a control method called virtual power plant dispatch on a simulated power grid, including realistic communication delays. They found that when communication is perfect, the system controls power well and keeps voltages stable, but with real-world delays, the control causes power swings and voltage problems. This shows that how communication networks work can greatly affect energy control methods. The authors suggest testing control systems together with communication effects to better understand their real performance.
Distributed Energy Resources (DERs)Virtual Power Plant (VPP)Distribution NetworkGrid-Interactive ControlCommunication DelayIEEE 37-node FeederVoltage RegulationPrimal-Dual Optimizationns-3 Network SimulatorPower System Simulation
Authors
Houchao Gan
Abstract
Distribution networks with high penetration of Distributed Energy Resources (DERs) increasingly rely on communication networks to coordinate grid-interactive control. While many distributed control schemes have been proposed, they are often evaluated under idealized communication assumptions, making it difficult to assess their performance under realistic network conditions. This work presents an implementation-driven evaluation of a representative virtual power plant (VPP) dispatch algorithm using a co-simulation framework that couples a linearized distribution-system model with packet-level downlink emulation in ns-3. The study considers a modified IEEE~37-node feeder with high photovoltaic penetration and a primal--dual VPP dispatch that simultaneously targets feeder-head active power tracking and voltage regulation. Communication effects are introduced only on the downlink path carrying dual-variable updates, where per-DER packet delays and a hold-last-value strategy are modeled. Results show that, under ideal communication, the dispatch achieves close tracking of the feeder-head power reference while maintaining voltages within the prescribed limits at selected buses. When realistic downlink delay is introduced, the same controller exhibits large oscillations in feeder-head power and more frequent voltage limit violations. These findings highlight that distributed DER control performance can be strongly influenced by communication behavior and motivate evaluation frameworks that explicitly incorporate network dynamics into the assessment of grid-interactive control schemes.