A reverse transaction strategy intelligent generation system and method for power selling service
By embedding a modal correlation mapping mechanism and a game evolution module, the disturbance coupling characteristics and propagation paths of the bid load in the electricity sales market are identified, and a reverse trading strategy to block the propagation of risk is generated. This solves the problem of the lack of pertinence and effectiveness in strategy generation in the existing technology, and improves the security and effectiveness of market strategies.
Patent Information
- Authority / Receiving Office
- CN Β· China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGHAI XINFENG GREEN ENERGY NEW ENERGY TECH CO LTD
- Filing Date
- 2026-02-05
- Publication Date
- 2026-06-02
AI Technical Summary
Existing methods for formulating electricity sales strategies are insufficient to accurately describe the propagation paths of market price fluctuations and load disturbances, and they neglect the inherent evolutionary laws of bidding behavior among market participants, resulting in a lack of targetedness and effectiveness in strategy generation.
An empirical mode decomposition method with an embedded modal correlation mapping mechanism is adopted, combined with a game evolution module and a propagation prediction module, to identify the correlation between price loads and the perturbation propagation path, and generate a reverse trading strategy to block the propagation of risk.
By accurately capturing the disturbance coupling characteristics between market quotations and load demand, the ability to predict and control the quoting behavior of market participants has been improved, the analysis accuracy and reliability of the disturbance propagation process have been enhanced, and market operation risks have been reduced.
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