Energy router control method and system

By employing dynamic power trajectory prediction and a multi-timescale control architecture, combined with silicon carbide semiconductor switching devices and composite regulation technology, the problem of rapid response and thermal management of energy routers under new energy fluctuations has been solved, achieving efficient and safe power smoothing and stable output.

CN122292505APending Publication Date: 2026-06-26THREE GORGES INTELLIGENT CONTROL TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
THREE GORGES INTELLIGENT CONTROL TECHNOLOGY CO LTD
Filing Date
2026-04-13
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

When faced with second-level fluctuations in renewable energy output, existing energy routers struggle to simultaneously meet the requirements of rapid power smoothing and efficient and safe operation. Traditional control methods suffer from slow response speeds, high device temperatures, short lifespans, and independent power control and thermal management, making coordinated optimization impossible.

Method used

A multi-timescale control architecture based on dynamic power trajectory prediction is adopted, which combines silicon carbide semiconductor switching devices and multi-mode switching sequence recombination. It integrates model predictive control, adaptive sliding mode variable structure algorithm and virtual synchronous machine to achieve power feedforward compensation and virtual impedance regulation, and to synergistically optimize power control and thermal management.

Benefits of technology

It achieves smooth control of power fluctuations at the second level, meets grid connection specifications, improves system stability and reliability, reduces device temperature rise, extends the life of key components, and reduces maintenance costs.

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Abstract

This application discloses an energy router control method and system, relating to the field of power technology. The method includes: first, constructing a multi-timescale control architecture for dynamic power trajectory prediction based on both fast and slow timescales, including a fast control layer and a slow control layer; then, performing dynamic power trajectory prediction and power feedforward compensation, multi-timescale coordinated control, fusion control of model predictive control and adaptive sliding mode variable structure algorithm, and composite regulation of virtual synchronous machine and dynamic virtual impedance; employing silicon carbide semiconductor switching devices in the high-frequency magnetic integrated converter topology of the energy router's power conversion layer and performing multi-mode switching sequence recombination; finally, obtaining parameter vectors based on power fluctuations and energy router losses to tune the corresponding parameters. This method achieves multi-timescale coordinated control of renewable energy output, suppresses grid impact and equipment stress caused by sudden power changes, and improves system stability and reliability.
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