Workshops Power & Energy Optimisation for Power Grid Management
Power & Energy Full Day or Half Day Workshop

Quantum Optimisation for Power Grid Management

This workshop gives grid operators and energy system planners a structured assessment of quantum optimisation algorithms for unit commitment, economic dispatch, optimal power flow, and network reconfiguration.

Full day (6 hours) or half day
In person or online
Max 30 delegates

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Qrypto Cyber
Eclypses
Arqit
QuantBond
Krown
Applied Quantum
Quantum Bitcoin
Venari Security
QuStream
BHO Legal
Census
QSP
IDQ
Patero
Entopya
Belden
Atlant3D
Zenith Studio
Qudef
Aries Partners
GQI
Upperside Conferences
Austrade
Arrise Innovations
CyberRST
Triarii Research
QSysteme
WizzWang
DeepTech DAO
Xyberteq
Viavi
Entrust
Qsentinel
Nokia
Gopher Security
Quside

Workshop Description

For grid operators, energy system planners, and dispatch engineers. Covers QAOA, VQE, and quantum annealing for unit commitment, economic dispatch, optimal power flow, and network reconfiguration. Includes D-Wave versus gate-based comparison, benchmark-specific performance evidence on IEEE test cases, and honest NISQ hardware assessment.

Power grid management is dominated by combinatorial optimisation problems that grow exponentially with network size. Security-constrained unit commitment (SCUC) for a large utility can involve thousands of binary decision variables and nonlinear AC power flow constraints. Classical solvers (CPLEX, Gurobi, PowerWorld) handle these through mixed-integer linear programming (MILP) with relaxations, but solution times increase sharply as renewable penetration introduces stochastic variability. Quantum optimisation offers a structurally different approach: QAOA and quantum annealing encode these combinatorial problems as Ising models or QUBO formulations, exploring solution spaces through quantum superposition and tunnelling. Published results on IEEE bus test cases (14-bus to 118-bus) show that D-Wave and QAOA implementations can find feasible solutions to simplified dispatch problems, though solution quality and scaling remain active research areas. This workshop maps those boundaries for your specific grid topology and operational constraints.

What participants cover

  • Classical optimisation limits: where MILP, SCUC, and heuristic solvers struggle with grid-scale combinatorial complexity under high renewable penetration
  • Quantum optimisation algorithms: QAOA for unit commitment, VQE for optimal power flow, quantum annealing for network reconfiguration and topology switching
  • QUBO formulations: encoding generator scheduling, N-1 contingency constraints, and demand response as quadratic unconstrained binary optimisation problems
  • D-Wave versus gate-based comparison: when annealing outperforms QAOA (and vice versa) for power system problem types, with published benchmark evidence
  • Hardware boundaries: problem sizes solvable today (D-Wave 5,000+ qubits, gate-based 10-100 qubits), quality-of-solution trade-offs, and fault-tolerant timeline for full-scale AC-OPF
  • Vendor and pilot design: independent assessment of D-Wave, IBM, Quantinuum, Pasqal, and quantum-inspired classical alternatives (Toshiba SQBM+, digital annealers) for grid workloads

Preliminary Agenda

Full-day session structure with scheduled breaks. Content is configurable to your grid topology, generation mix, market structure, and operational constraints.

# Session Topics
1 Classical Optimisation and Where It Breaks Down Computational limits of MILP, SCUC, and heuristic solvers for grid-scale problems
2 Quantum Optimisation for Power Systems QAOA, VQE, and quantum annealing applied to grid management problems
  • QAOA for unit commitment and security-constrained economic dispatch: QUBO formulation of generator scheduling under N-1 contingency
  • Quantum annealing for network reconfiguration and topology optimisation: D-Wave implementations versus gate-based approaches
  • VQE for optimal power flow (OPF): encoding AC power flow constraints into variational circuits
Break, after 50 min
3 Real-Time Grid Balancing Under Renewable Intermittency Quantum approaches to dynamic dispatch and demand response
  • Hybrid quantum-classical decomposition for day-ahead and intraday market clearing with high renewable penetration
  • Quantum annealing for battery storage scheduling and electric vehicle fleet charge management across distribution networks
  • QAOA for demand response portfolio optimisation: coordinating distributed energy resources at scale
4 Interactive Demonstration: Grid Optimisation Pipeline Full-day format only
  • Facilitator-led walkthrough: formulating a unit commitment problem as a QUBO and solving on D-Wave versus QAOA simulator
  • Interpreting solution quality, time-to-solution, and constraint satisfaction versus classical MILP (CPLEX/Gurobi)
  • Delegates discuss: identifying which grid management problems in their portfolio have quantum-compatible combinatorial structure
Break, after 60 min
5 Hardware Assessment and Honest Performance Boundaries What works now, what does not, and the 2026-2030 horizon
  • D-Wave Advantage (5,000+ qubits) versus gate-based QAOA on IBM/IonQ: problem sizes achievable today and quality-of-solution comparison
  • Published benchmark-specific performance comparisons: quantum versus classical solvers on power system test cases (IEEE 14-bus, 118-bus, Polish grid benchmarks)
  • Fault-tolerant timeline and what it unlocks for full-scale AC-OPF and multi-period stochastic dispatch
6 Vendor Landscape and Pilot Design Structuring a quantum optimisation proof-of-concept for your grid
  • Vendor comparison for power system optimisation: D-Wave (annealing), IBM Qiskit (QAOA), Quantinuum (trapped-ion), Pasqal (neutral atom)
  • Quantum-inspired classical alternatives: simulated bifurcation machines (Toshiba SQBM+), tensor networks, and digital annealers for near-term deployment
  • Pilot design principles: selecting the right sub-problem, defining success criteria, and benchmarking methodology
7 Q&A and Pilot Planning

Designed and Delivered By

Workshops are designed and delivered by QSECDEF in collaboration with sector specialists. All facilitators have direct experience in both quantum technologies and power & energy systems.

QD

Quantum Security Defence

Workshop design and delivery

QSECDEF brings world-leading expertise in post-quantum cryptography, quantum computing strategy, and defence-grade security assessment. Our advisory membership spans 600+ organisations and 1,200+ professionals working at the intersection of quantum technologies and critical infrastructure security.

PO

Energy Sector Partners

Domain expertise and operational validation

Power & Energy workshops are co-delivered with sector specialists who bring direct operational experience in power & energy organisations. This ensures workshop content is grounded in regulatory, operational, and technical realities specific to the sector.

Commission This Workshop

Sessions are configured around your grid topology, generation mix, market structure, and dispatch operational constraints. Get in touch to discuss requirements and schedule a date.

Contact Us

Quantum technologies are evolving quickly and new developments emerge regularly. This page was last updated on 15/03/2026. For the most current information about course content and suitability for your organisation, we recommend contacting us directly.