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

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Authors: Jesse Dugan, USDOE Office of Cybersecurity, Energy Security, and Emergency Response (CESER), Chenchen Li, Xiaofei Wang, Kumar Utkarsh, Fei Ding, Meng Yue
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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.

Fields of Study & Subjects

Smart Grid Energy Management Optimal Power Flow Distribution Microgrid Control and Optimization

Publication details

Publication date
12 January 2026