摘要
风功率波动性大,日前预测准确性较差,导致大型风电消纳与电网安全鲁棒性的矛盾。提出一种风电“腰荷”出力接入的自动调频调度方法,以减少弃风量且提高风电功率大幅波动下的主网在线安全性。首先,为提高日前风功率神经网络预测的收敛性,提出时序矩阵奇异值分解的多样本数据预处理方法;其次,为得到与日前风功率预测相关的腰荷出力计划曲线,采用多项式回归拟合及基准功率偏差,得到相关性较大的光滑曲线;然后,为减小在线风功率骤减导致的频率偏差,设定调频机组自动调频的“启动”曲线族;最后,为保持自动调频后主网有功潮流分布合理并提高功角安全性,采用等效功角最小的优化模型,得到各调频机组出力增量的最优分配方案。算例验证该调度方法的可行性,对减少大型风电的弃风并提高电网安全运行水平具有理论和实际意义。
The large fluctuation of wind power and the poor accuracy of day-ahead prediction lead to the contradiction between large-scale wind power accommodation and grid security robustness.An automatic frequency modulation scheduling method for wind power"waist load"output access is proposed to reduce wind curtailment and improve the online security of the main network under large fluctuations of wind power.Firstly,to improve the convergence of neural network for day-ahead wind power prediction,a multi-sample data preprocessing method based on singular value decomposition of time series matrix is proposed.Secondly,in order to obtain the output plan curve of waist load related to the day-ahead wind power prediction,polynomial regression fitting and reference power deviation are used to obtain a smooth curve with high correlation.Then,to reduce the frequency deviation caused by the sudden decrease of online wind power,a family of"start-up"curves for automatic frequency modulation of frequency modulation units is set.Finally,in order to maintain a reasonable active power flow distribution in the main network after automatic frequency modulation and improve the power angle security,an optimization model with the smallest equivalent power angle is adopted to obtain the optimal allocation scheme of the output increment of each frequency modulation unit.The example verifies the feasibility of the scheduling method,which has theoretical and practical significance for reducing wind curtailment of large-scale wind power and improving the safe operation level of the power grid.
作者
竺炜
杨子琦
祁俊辉
肖魏
唐颖杰
ZHU Wei;YANG Ziqi;QI Junhui;XIAO Wei;TANG Yingjie(School of Electrical&Information Engineering,Changsha University of Science&Technology,Changsha 410076,China;Xining Power Supply Company,State Grid Qinghai Electric Power Company,Xining 810000,China)
出处
《电力科学与技术学报》
CAS
CSCD
北大核心
2024年第2期1-8,共8页
Journal of Electric Power Science And Technology
基金
国家自然科学基金(52077009)
湖南省教育厅重点项目(20A013)
长沙理工大学研究生科研创新项目(CX2021SS51)。
关键词
大型风电
腰荷出力接入
自动调频
优化调度
主网功角安全性
large-scale wind power
waist load output access
automatic frequency modulation
optimization scheduling
power angle security of main network
