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DOE OSTI · 3014982

A Scalable, Distribution Network-Aware, Customer Privacy-Preserving Framework for Operation of Virtual Power Plants

Dugan, Jesse [National Laboratory of the Rockies, Golden, CO (United States)]·Li, Chenchen [National Laboratory of the Rockies, Golden, CO (United States)]·Wang, Xiaofei [National Laboratory of the Rockies, Golden, CO (United States)]·Utkarsh, Kumar [National Laboratory of the Rockies, Golden, CO (United States)]·Ding, Fei [National Laboratory of the Rockies, Golden, CO (United States)]·Yue, Meng [Brookhaven National Laboratory]
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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.

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24 POWER TRANSMISSION AND DISTRIBUTION97 MATHEMATICS AND COMPUTINGdistributed energy resourcesdistribution systemgrid-edge flexibilityvirtual power plant

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Dugan, Jesse [National Laboratory of the Rockies, Golden, CO (United States)], Li, Chenchen [National Laboratory of the Rockies, Golden, CO (United States)], Wang, Xiaofei [National Laboratory of the Rockies, Golden, CO (United States)], Utkarsh, Kumar [National Laboratory of the Rockies, Golden, CO (United States)], Ding, Fei [National Laboratory of the Rockies, Golden, CO (United States)], Yue, Meng [Brookhaven National Laboratory]. 2026-01-12. A Scalable, Distribution Network-Aware, Customer Privacy-Preserving Framework for Operation of Virtual Power Plants. https://doi.org/10.2172/3014982

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