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计及风电不确定性的电网前瞻调度多时段平衡风险分级预警OA

Hierarchical Early-warning for Multi-period Balance Risk in Look-ahead Dispatch of Power Grid Considering Uncertainty of Wind Power

中文摘要英文摘要

随着风电逐渐成为电力供应主体,风电不确定性引发的日内功率预测偏差将使电力平衡面临严峻挑战.前瞻调度是衔接日前调度计划与日内自动发电控制的有效手段.为此,提出风电不确定性下电网前瞻调度平衡风险分级预警方法.首先,构建前瞻调度约束集以刻画系统的运行边界,通过解析化数学推导分析了风电不确定性对系统运行边界的影响,并在此基础上提出了计及多资源爬坡能力的平衡风险分级预警机制.然后,提出基于点估计与矩阵正态分布理论的样本增强方法,通过参数化数据生成方式扩充少数类样本,提高模型的预测准确率与场景覆盖率.最后,基于净负荷偏差与资源可调容量两个关键指标,构建前瞻调度的多时段平衡风险预警模型,对未来几小时系统的平衡风险进行分级预警.在IEEE 118节点标准算例中进行了仿真验证,结果表明,所提方法可快速准确地对未来几小时系统的平衡风险进行预警,分级预警结果能为前瞻调度提供有效的参考信息.

As wind power increasingly becomes the mainstay of electricity supply,intra-day prediction deviations stemming from wind power uncertainty pose severe challenges to power balance.Look-ahead dispatch serves as an effective bridge between day-ahead dispatch and intra-day automatic generation control.To this end,a hierarchical early-warning method for balance risks in look-ahead dispatch of power grid considering the uncertainty of wind power is proposed.Furthermore,a sample enhancement method based on point estimation and matrix normal distribution theory is introduced.The parametric data generation mode is used to expand minority-class samples and enhance the model prediction accuracy and scenario coverage.Finally,based on the two key indicators of net load deviation and adjustable resource capacity,an early-warning model for multi-period balance risk in look-ahead dispatch is constructed to provide hierarchical early-warning for the balance risk of the system in the next few hours.Simulation on the IEEE 118-bus test system verify that the proposed method can rapidly and accurately provide early-warning of balance risks in the next few hours,and the hierarchical warnings furnish valuable reference information for look-ahead dispatch.

MU Zeyu;CHEN Siyuan;XU Peidong;SI Ruiqi;ZHANG Jun;XU Jian;HUANG He;CHEN Yiping

School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,ChinaSchool of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,ChinaSchool of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,ChinaSchool of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,ChinaSchool of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,ChinaSchool of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,ChinaPower Dispatch and Control Center of China Southern Power Grid,Guangzhou 510663,ChinaSouthern Power Grid New Energy System(Beijing)Research Institute Co.,Ltd.,Beijing 102218,China

风电不确定性前瞻调度预测预警净负荷偏差资源可调容量样本增强平衡风险

wind poweruncertaintylook-ahead dispatchpredictionearly-warningnet load deviationadjustable resource capacitysample enhancementbalance risk

《电力系统自动化》 2026 (1)

61-73,13

国家重点研发计划资助项目:"支撑20%新能源电量占比场景下的电网智能调度关键技术"(2022YFB2403500). This work is supported by National Key R&D Program of China(No.2022YFB2403500).

10.7500/AEPS20241127005

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