Quasi-linear load management measure method and system based on network load interaction capability

CN120914752APending Publication Date: 2025-11-07NARI INFORMATION & COMM TECH
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Patent Information

Application Number
CN202511015532.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-23
Publication Date
2025-11-07

AI Technical Summary

Technical Problem

Existing demand response technologies require users to drastically change their electricity consumption behavior, resulting in economic losses and low user participation, making them unsustainable.

Method used

By predicting user load profiles and adjustability based on historical data and flexible resource characteristics, user prediction profiles are generated. The network-load interaction engine is used to aggregate and dynamically correct node load profiles in real time, aggregate regional node load profiles from bottom to top, and intelligently decompose scheduling targets from top to bottom, and evaluate them by combining Euclidean distance and similarity indicators.

Benefits of technology

This approach improves the accuracy and robustness of power grid supply and demand balance while minimizing intervention in user electricity consumption behavior, reduces economic losses, and enhances user participation and the power grid's flexible control capabilities.

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Abstract

The invention discloses a quasi-linear load management measure method and system based on a network load interaction capability, and the method comprises the steps: calculating a load baseline based on the historical power utilization data of a user, and generating a user prediction directrix in combination with a flexible resource adjustment characteristic; aggregating the user directrix through the real-time net rack topology to form a regional node directrix, and dynamically correcting the response deviation; according to a scheduling target, intelligently decomposing an adjustment directrix to a user level, and ensuring that the adjustment directrix is matched with a prediction directrix; after adjustment execution is completed, calculating directrix similarity through an Euclidean distance, and evaluating an execution effect in combination with a response amount; according to the invention, through superposition prediction of the user load base line and the adjustable capability of the flexible resources, the power grid supply and demand balance is ensured, forced intervention on the user power consumption behavior is significantly reduced, economic loss caused by direct load reduction is avoided, quasi-linear dynamic adjustment is realized by using the flexible resources such as energy storage, air conditioning and photovoltaic resources, and the method is suitable for large-scale popularization and application. And power grid safety and user economy are both considered.
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