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计及惯量和风电双重不确定性的两阶段分布鲁棒机组组合

张磊 宋坤泽 叶婧 林宇琦 高任飞

电力建设2026,Vol.47Issue(2):147-160,14.
电力建设2026,Vol.47Issue(2):147-160,14.DOI:10.12204/j.issn.1000-7229.2026.02.012

计及惯量和风电双重不确定性的两阶段分布鲁棒机组组合

Two-Stage Distributionally Robust Unit Commitment Considering Dual Uncertainties of Inertia and Wind Power

张磊 1宋坤泽 1叶婧 1林宇琦 2高任飞1

作者信息

  • 1. 三峡大学电气与新能源学院,湖北省 宜昌市 443002||新能源微电网湖北省协同创新中心(三峡大学),湖北省 宜昌市 443002
  • 2. 国网湖北省电力有限公司鄂州供电公司,湖北省 鄂州市 436000
  • 折叠

摘要

Abstract

[Objective]To address the insufficient system frequency response capability caused by the diversification and uncertainty of grid inertia under high renewable energy penetration,this paper proposes a method for unit commitment that considers diverse inertia sources as well as the uncertainties associated with inertia and wind power.[Methods]First,an inertia uncertainty model is established by integrating various inertia sources,including synchronous generator inertia controlled by the dispatch center,inertia from small-scale synchronous generators not directly controlled by the dispatch center,virtual inertia,and demand-side inertia.Second,a data-driven two-stage distributionally robust optimization(DRO)model is formulated to characterize the dual uncertainties of inertia and wind power.The 1-norm and ∞-norm are utilized to constrain the confidence set of uncertain probability distributions.Meanwhile,dynamic frequency constraints are incorporated into the second-stage model.Finally,the absolute value terms within the model are linearized,and the Column-and-Constraint Generation(C&CG)algorithm is employed to solve the two-stage model.[Results]Compared with the unit commitment model considering only the inertia of large synchronous generators,the proposed two-stage DRO model,which accounts for the dual uncertainties of inertia and wind power,demonstrates superior frequency response capability and reduces the total generation cost by 3.3%.[Conclusions]Compared with other uncertainty-handling methods,the constructed model achieves better economic efficiency than robust optimization models and enhanced robustness compared to stochastic optimization models.It effectively balances the relationship between economic efficiency and robustness,thereby ensuring the power system′s dynamic adaptability under high renewable energy penetration scenarios.

关键词

系统惯量/不确定性/动态频率约束/机组组合/分布鲁棒优化

Key words

system inertia/uncertainty/dynamic frequency constraint/unit combination/distributionally robust optimization

分类

信息技术与安全科学

引用本文复制引用

张磊,宋坤泽,叶婧,林宇琦,高任飞..计及惯量和风电双重不确定性的两阶段分布鲁棒机组组合[J].电力建设,2026,47(2):147-160,14.

基金项目

国家自然科学基金重点项目(62233006) This work is supported by National Natural Science Foundation of China Key Project(No.62233006). (62233006)

电力建设

1000-7229

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