A multi-layer hybrid energy storage coordinated operation method and system

CN122246807APending Publication Date: 2026-06-19GUIZHOU UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUIZHOU UNIV
Filing Date
2026-05-25
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing multi-layered hybrid energy storage systems fail to adequately match the multi-timescale characteristics of new energy power during coordinated operation. The allocation of energy storage regulation tasks is unreasonable, and scheduling is often driven by a single objective, ignoring energy storage lifespan loss and overall economic efficiency. They lack robustness and cannot balance system safety, economy, and energy storage lifespan.

Method used

By decomposing the power signal of new energy grid connection into multiple time scales, and allocating it to the corresponding energy storage units in the multi-layer hybrid energy storage system based on the time scale characteristics of each power component, a multi-objective optimization model is constructed and an intelligent optimization algorithm is used to solve the scheduling strategy. Real-time coordinated control is carried out by combining rolling optimization and feedback correction mechanisms.

Benefits of technology

It achieves precise power tiering adjustment, improves energy storage utilization efficiency, enhances system operation stability and economy, extends energy storage lifespan, and improves robustness to uncertainties in new energy output.

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Abstract

This application provides a method and system for coordinated operation of multi-layer hybrid energy storage, belonging to the field of energy storage dispatch. The method includes: decomposing the grid-connected power signal of new energy sources into power components at different time scales; allocating each power component to corresponding energy storage units in the multi-layer hybrid energy storage system based on the time scale characteristics of each power component for adjustment; constructing a multi-objective optimization model based on the allocation results, and obtaining a dispatch strategy adapted to each energy storage unit through an intelligent optimization algorithm; and using a rolling optimization and feedback correction mechanism to perform real-time coordinated operation control of each energy storage unit based on the dispatch strategy. The method and system provided in this application are used to achieve precise power stratification adjustment, efficient energy storage utilization, and improved overall system operation efficiency.
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