Optimization Method for Microgrid Demand Response Based on Coherent Photonic Quantum Computing

This paper presents an optimization strategy for microgrid operation using photonic quantum computing. The proposed approach facilitates the formulation of complex power system optimizations and broadens the practical applications of quantum computing. A microgrid system model is developed, incorporating distributed generation, energy storage, and user loads. An optimization scheduling model is formulated to maximize economic benefits by balancing energy supply and demand through demand response incentives and energy storage management. The problem is reformulated into a Quadratic Unconstrained Binary Optimization (QUBO) model, with the innovative use of a qubitsharing mechanism to optimize the model and reduce qubit requirements. The generation of the QUBO matrix lays the foundation for future solving through the Coherent Ising Machine (CIM), potentially achieving over a hundredfold acceleration in solution speed.