Quantum Contingency Scanning for Power System Security

Background:

Modern power grids face rising complexity from renewable energy and extreme climate events. Maintaining Steady-State Security requires "Contingency Analysis" (CA)—simulating thousands of "what-if" failure scenarios (N–k contingencies). Classical computers scale linearly, creating a massive bottleneck where simulations cannot keep up with real-time grid changes. This necessitates a shift from reactive security to proactive, quantum-accelerated assessment.

Technology Overview:

This invention introduces a Quantum Contingency Analysis (QCA) framework that moves power flow analysis from a serial process to a parallel one. Quantum Parallelism: Uses a Variational Quantum Linear Solver (VQLS) to represent grid states as wavefunctions, allowing qubit requirements to scale logarithmically rather than linearly.
Error Mitigation: Employs a "triple-threat" strategy—Pauli-twirling, Dynamic Decoupling, and Matrix-free Measurement—to ensure accurate results on today’s "noisy" (NISQ) quantum hardware.
Hybrid Architecture: A classical CPU handles optimization loops and "pre-calculations," while the Quantum Processing Unit (QPU) executes the high-heavy parallel simulations.

Advantages:

• Exponential Scalability: Leverages superposition and entanglement to analyze multiple outage scenarios simultaneously, providing a massive speed advantage over sequential classical methods.
• Computational Efficiency: Reduces the overhead of extensive matrix computations by encoding linearized power flow equations directly into quantum circuits.
• Resource Savings: Dramatically lowers the hardware requirements for large-scale systems (representing N scenarios with only log_2 N qubits).
• High Fidelity: Achieves accuracy comparable to Classical Contingency Analysis (CCA) while maintaining the potential for quantum speedup as hardware matures.

Applications:

• Utility & Grid Planning: Real-time resilience scanning and vulnerability identification for modern power grids.
• Critical Infrastructure: National security tools to protect power networks against cascading failures or external threats.
• Mission-Critical Facilities: Ensuring zero-downtime for microgrids in hospitals, military bases, and data centers.
• Complex Networks: Managing systemic risks in telecommunications (6G), global logistics, and transportation infrastructure.

Intellectual Property Summary:

Patent Pending

Stage of Development:

In Silico

Licensing Status:

Stony Brook University is seeking an industry partner to license and commercialize the technology.

Licensing Potential:

Commercial partner - Licensing

Additional Information: