Physical transaction quantum optimization modeling method, system, electronic equipment and medium for transformer area cluster

Abstract

The present application relates to the technical field of power equipment management, and more particularly to a physical transaction quantum optimization modeling method, system, device and medium for a transformer area cluster: heterogeneous operation data is acquired and a unified decision variable set is generated according to a commitment object configuration; a preset constraint maintaining mixer is input, a target Hamiltonian is created in a feasible subspace determined by power hard constraints, and quantum bit strings are used to guide quantum approximate optimization; a parameterized quantum circuit is constructed based on the Hamiltonian and the mixer, and a target bit string is solved; and after decoding, a physical transaction model that can be directly used in multiple markets is output. The present application endogenously embeds hard constraints in quantum search, and realizes mutual exclusion of energy, capacity and mileage in a single time period through a unified variable set, thereby avoiding repeated occupation across markets, and thus solving the problem that existing algorithm models are difficult to simultaneously consider feasibility, economy and linearity, and improving the feasibility, stability and timeliness of bidding strategies for a transformer area cluster in multiple markets.

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