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.

CN122134110APending Publication Date: 2026-06-02SHANGHAI XINFENG GREEN ENERGY NEW ENERGY TECH CO LTD

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

Technical Problem

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.

Method used

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.

Benefits of technology

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.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122134110A_ABST
    Figure CN122134110A_ABST
Patent Text Reader

Abstract

This invention provides an intelligent generation system and method for reverse trading strategies in the electricity sales business, relating to the field of electricity market technology. The invention performs modal decomposition on historical market price data and load demand data using an embedded modal correlation mapping mechanism to determine the price-load correlation relationship characterizing disturbance coupling. Based on historical reverse trading price data of market participants, it analyzes the evolution of the price game state under different risk preference scenarios. Combining the price-load correlation relationship and the price game evolution pattern, it constructs disturbance propagation paths, identifies key disturbance propagation paths, and generates a predicted price-load evolution trajectory. Furthermore, by combining real-time market transaction feedback data, it constructs a risk propagation topology structure for the key disturbance propagation paths, generating a reverse trading strategy to block risk propagation and effectively suppressing risk propagation in the electricity sales market.
Need to check novelty before this filing date? Find Prior Art