Physical transaction quantum optimization modeling method, system, electronic equipment and medium for transformer area cluster
By using a quantum optimization modeling method for physical transactions in a distribution cluster, a unified set of decision variables is generated and a Hamiltonian is created in the feasible subspace. This solves the problems of long solution time and infeasible results in existing technologies, and enables efficient and stable transaction decision-making in a distribution cluster under multiple markets.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- STATE GRID ZHEJIANG ELECTRIC POWER CO LTD HANGZHOU POWER SUPPLY CO
- Filing Date
- 2026-04-20
- Publication Date
- 2026-07-24
AI Technical Summary
Existing algorithm models struggle to simultaneously achieve feasibility, economy, and linearity across multiple time periods, devices, and market scenarios, resulting in long solution times, infeasible results, and execution deviations.
A physical transaction quantum optimization modeling method based on transformer clusters is adopted. By acquiring heterogeneous operating data, a unified set of decision variables is generated. A constraint-preserving mixer is used to create a target Hamiltonian in the feasible subspace. A quantum approximation optimization process is then performed through parameterized quantum circuits to generate a physical transaction model.
It improves the feasibility, stability and timeliness of bidding strategies for the distribution cluster under multiple markets, avoids variable dimension expansion, unstable penalty terms and cross-market duplication issues, and shortens the decision update cycle.
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Figure CN122048519B_ABST