Micro-grid cluster-oriented adaptive optimization scheduling method for energy storage system full life cycle

By acquiring the voltage and current signals of the energy storage branch, calculating the polarization impedance data and state of charge, decomposing the net load power fluctuation signal into short-time high-frequency and long-time low-frequency sequences, and adjusting the virtual impedance gain parameter, the problem of adapting the boundary of the internal electrochemical reaction of the battery in the microgrid cluster is solved, and the safety boundary maintenance and full life cycle efficiency improvement of the battery are realized.

CN122292484APending Publication Date: 2026-06-26YANCHENG ELECTRIC POWER DESIGN INST CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
YANCHENG ELECTRIC POWER DESIGN INST CO LTD
Filing Date
2026-05-22
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing technologies have failed to effectively adjust the electrical response characteristics of energy storage converters in microgrid clusters to adapt to the electrochemical reaction boundaries inside the battery, resulting in overpotential accumulation and irreversible decay inside the battery, and lacking the ability to sense transient physical losses at the electrode interface.

Method used

By acquiring the voltage and current signals of the energy storage branch, calculating the polarization impedance data and state of charge, decomposing the net load power fluctuation signal into short-time high-frequency and long-time low-frequency sequences, adjusting the virtual impedance gain parameter, limiting the output current change rate, and combining the carbon emission intensity and battery cycle life loss model for optimized scheduling.

Benefits of technology

It achieves the maintenance of the electrochemical safety boundary of batteries in microgrid clusters, improves the full life cycle operation efficiency and physical stability of energy storage systems, and reduces battery damage and carbon emissions.

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Abstract

This invention relates to the field of power supply circuits and energy storage systems, and discloses an adaptive optimization scheduling method for the entire life cycle of an energy storage system for microgrid clusters. The method includes: acquiring polarization impedance data and operating status of each energy storage branch, characterizing the charge transfer resistance at the electrode interface; decomposing the net load power of the bus into transient high-frequency sequences and steady-state low-frequency sequences; allocating high-frequency fluctuations based on the reciprocal of the polarization impedance; adjusting the virtual impedance gain of the power conversion unit control loop to ensure the output current change rate is lower than the physical boundary of the ion diffusion rate; and introducing a carbon emission intensity weight and a loss cost function to correct the power limit. This invention establishes a physical correlation between battery dynamics and power fluctuation frequency, utilizes virtual impedance adjustment technology to smooth the current waveform, suppresses concentration polarization and lithium plating at the electrode interface, and essentially extends the lifespan of the energy storage system.
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