ROBUST OPTIMAL SCHEDULING OF MICROGRID CONSIDERING DYNAMIC UNCERTAINTY SETS AND BATTERY DEGRADATION

Xu Xiaozhuo; Zhou Xiaozhou; Ai Liwang; Jiang Siyuan

doi:10.19912/j.0254-0096.tynxb.2024-2242

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (4) : 179-189. DOI: 10.19912/j.0254-0096.tynxb.2024-2242

ROBUST OPTIMAL SCHEDULING OF MICROGRID CONSIDERING DYNAMIC UNCERTAINTY SETS AND BATTERY DEGRADATION

Xu Xiaozhuo, Zhou Xiaozhou, Ai Liwang, Jiang Siyuan

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Abstract

This paper proposes a two-stage robust optimization model based on dynamic uncertainty sets and battery degradation model to address the uncertainties of renewable energy resources and loads in microgrids. By introducing time-dependent uncertainty set adjustments, the model dynamically regulates the fluctuation and prediction ranges of wind power, photovoltaic generation, and loads, enhancing scheduling flexibility. Additionally, the model incorporates battery degradation costs during charging and discharging cycles, establishing a degradation model based on depth of discharge and power losses to optimize storage system utilization strategies. The model is solved using a constraint and column generation algorithm, with simulation results validating its effectiveness in terms of economic efficiency and robustness. Results demonstrate that the proposed approach successfully balances cost-effectiveness and operational stability, effectively managing challenges from renewable energy output fluctuations and load variations while maintaining economical operation.

Key words

microgrid / renewable energy / battery energy storage system / uncertainty / two-stage robust optimization / dynamic uncertainty set / column-and-constraint generation algorithm

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Xu Xiaozhuo, Zhou Xiaozhou, Ai Liwang, Jiang Siyuan. ROBUST OPTIMAL SCHEDULING OF MICROGRID CONSIDERING DYNAMIC UNCERTAINTY SETS AND BATTERY DEGRADATION[J]. Acta Energiae Solaris Sinica. 2026, 47(4): 179-189 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2242

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