Virtual power plant adjustable load aggregation and real-time response regulation method and system

CN122246782APending Publication Date: 2026-06-19BEIJING TRUTH WISDOM POWER TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING TRUTH WISDOM POWER TECH CO LTD
Filing Date
2026-03-31
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing virtual power plant load aggregation and response control methods rely on static models, which make it difficult to accurately depict the dynamic evolution of load groups during real-time control. This results in decreased control accuracy and insufficient strategy adaptability, making it unable to effectively cope with complex and ever-changing power grid demands.

Method used

A state-space model based on the physical characteristics of load equipment and energy conversion relationships is constructed. It is decomposed into a fast response sub-model and a slow drift sub-model through a multi-scale time decoupling mechanism. The model is then weighted and aggregated in combination with topological connectivity to calculate scheduling command deviations and backpropagate to correct model parameters, thereby generating dynamic scheduling decisions.

Benefits of technology

It significantly improves the aggregation accuracy and real-time control capability of virtual power plants for distributed flexible loads, ensuring the accuracy and adaptability of the model. It can track changes in load equipment characteristics and external environmental disturbances in real time, thereby improving the agility and reliability of grid response.

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Abstract

This invention provides a method and system for adjustable load aggregation and real-time response control in virtual power plants, relating to the field of virtual power plant technology. The method involves constructing and decomposing a load state-space model, aggregating it to form a group equivalent representation, calculating its deviation from dispatch commands, and inversely correcting the model coupling coefficient. Finally, based on the updated equivalent representation, simulation prediction is performed to generate dispatch decisions. This method achieves accurate aggregation and dynamic control of distributed flexible loads, improving the real-time performance and accuracy of virtual power plant responses to dispatch commands.
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