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

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电力建设 ›› 0

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^1,2, 宋坤泽^1,2, 叶婧^1,2, 林宇琦³, 高任飞^1,2

作者信息 +

Two-stage distributed robust unit commitment considering dual uncertainties of inertia and wind power

ZHANG Lei^1,2, SONG Kunze^1,2, YE Jing^1,2, LIN Yuqi³, GAO Renfei^1,2

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文章历史 +

摘要

【目的】针对高比例新能源渗透率下电网惯量来源多元化和不确定性所导致的系统频率响应能力不足问题,提出一种在机组组合中考虑惯量来源多元化以及惯量和风电不确定性的方法。【方法】首先,综合调度部门所掌控的同步发电机组惯量、不被调度部门掌控的小型同步发电机组惯量、虚拟惯量和负荷侧惯量,建立惯量不确定性模型。其次,采用基于数据驱动的两阶段分布鲁棒优化模型刻画惯量和风电的双重不确定性,并用1-范数以及∞-范数约束不确定性概率分布置信集合,与此同时,在第二阶段模型中考虑动态频率约束。最后,将模型中含有绝对值的部分线性化,采用列与约束生成算法对两阶段模型求解。【结果】IEEE 118节点系统的仿真算例表明,相较于仅考虑大型同步发电机惯量的机组组合模型,本文所提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模型具有更充足的频率响应能力,且发电总成本降低了3.3%。此外,与其他不确定性方法相比,文章构建的模型相较于鲁棒优化模型有更好的经济性,相较于随机优化模型有更强的鲁棒性。【结论】有效平衡了电力系统经济性与鲁棒性之间的关系,从而确保系统在可再生能源高渗透场景下具备动态适应能力。

Abstract

[Objective] Addressing the issue of insufficient system frequency response capability caused by the diversification and uncertainty of grid inertia sources under high renewable energy penetration, this study proposes a unit commitment framework that integrates multi-source inertia dynamics and uncertainties from both inertia and wind power. [Methods] First, an inertia uncertainty model is established by combining inertia contributions from dispatchable synchronous generators, non-dispatchable small synchronous generators, virtual inertia provided by power electronic devices, and load-side inertia. Second, a data-driven two-stage distributionally robust optimization model is developed to characterize the dual uncertainties of inertia and wind power. The model employs 1-norm and ∞-norm constraints to define the confidence set for uncertainty probability distributions, while dynamic frequency constraints are explicitly incorporated into the second-stage model. Finally, absolute-value terms in the formulation are linearized, and the two-stage problem is solved using a column-and-constraint generation algorithm. [Results] Simulation results on the IEEE 118-bus system demonstrate that, compared to the unit commitment model considering only the inertia of large synchronous generators, the proposed two-stage distributionally robust unit commitment model incorporating dual uncertainties of system inertia and wind power exhibits a more sufficient frequency response capability and reduces the total generation cost by 3.3%. Furthermore, the proposed framework exhibits superior economic performance over conventional robust optimization methods and stronger robustness compared to stochastic optimization approaches. [Conclusions] The proposed approach optimally balances power system economic efficiency and operational robustness, thereby enabling dynamic adaptability in high renewable penetration environments.

导出引用

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. 0

ZHANG Lei, SONG Kunze, YE Jing, LIN Yuqi, GAO Renfei. Two-stage distributed robust unit commitment considering dual uncertainties of inertia and wind power[J]. Electric Power Construction. 0

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