@misc{40992595a96944e888bc5bfb150c1b99,
title = "A Scalable, Distribution Network-Aware, Customer Privacy-Preserving Framework for Operation of Virtual Power Plants",
abstract = "This poster presents a hierarchical control framework for a virtual power plant that leverages behind-the-meter resources for grid services while maintaining customer privacy during setpoint disaggregation. Unlike many existing approaches, the virtual power plant model uses a hierarchical control strategy and an iterative approach to determine the optimal set point dis-aggregation without direct load control while maintaining system-level power flow and voltage constraints. The proposed approach is numerically validated on a synthetic distribution feeder in San Francisco, demonstrating the ability of the framework to provide privacy-preserving virtual power plant services.",
keywords = "distributed energy resources, distribution system, grid-edge flexibility, virtual power plant",
author = "Jesse Dugan and Chenchen Li and Xiaofei Wang and Kumar Utkarsh and Fei Ding and Meng Yue",
year = "2025",
doi = "10.2172/3014982",
language = "American English",
series = "Presented at the 2025 IEEE Power and Energy Society General Meeting, 27-31 July 2025, Austin, Texas",
publisher = "National Laboratory of the Rockies (NLR)",
address = "United States",
type = "Other",
}