Cooperative Optimization of Grid-Edge Cyber and Physical Resources for Resilient Power System Operation

TL;DR

This paper proposes a bi-level optimization framework for cooperative cyber-physical resource management to enhance power system resilience during contingencies, effectively coordinating cyber topology and physical controls.

Contribution

It introduces a novel constrained optimization model and solution method for integrated cyber-physical resource control in power systems during crises.

Findings

Improved grid resilience during cyberattacks.

Effective coordination of cyber topology and physical resources.

Validated approach on IEEE 14-bus system.

Abstract

The cooperative operation of grid-edge power and energy resources is crucial to improving the resilience of power systems during contingencies. However, given the complex cyber-physical nature of power grids, it is hard to respond timely with limited costs for deploying additional cyber and/or phyiscal resources, such as during a high-impact low-frequency cyber-physical event. Therefore, the paper examines the design of cooperative cyber-physical resource optimization solutions to control grid-tied cyber and physical resources. First, the operation of a cyber-physical power system is formulated into a constrained optimization problem, including the cyber and physical objectives and constraints. Then, a bi-level solution is provided to obtain optimal cyber and physical actions, including the reconfiguration of cyber topology (e.g., activation of communication links) in the cyber layer and the control of physical resources (e.g., energy storage systems) in the physical layer. The developed method improves grid resilience during cyberattacks and can provide guidance on the control of coupled physical side resources. Numerical simulation on a modified IEEE 14-bus system demonstrates the effectiveness of the proposed approach.