摘要
提出考虑大规模风电接入的电网薄弱区域动态无功需求评估方法。首先,采用随机矩阵理论对大规模风电场群接入的电力系统进行电压薄弱节点和薄弱区域辨识,若风电接入地区为电压薄弱区域,则令风电场群进入紧急电压控制预决策环节;然后,基于BP神经网络建立薄弱区域内暂态电压稳定指标计算模型,并在此基础上提出基于灵敏度的薄弱区域动态无功需求评估方法;最后,在风电场群接入的IEEE 10机39节点系统上对该文所提方法的有效性进行验证。
A dynamic reactive power demand assessment method considering large-scale wind power access is proposed in this paper.Firstly,the random matrix theory is applied to identify weak voltage nodes and areas in power system where the large-scale wind farm cluster is integrated.If the area where the wind farm cluster is integrated is the weak voltage area,the wind farm cluster enters the pre-decision link of emergency voltage control.Secondly,the calculation model of transient voltage stability index in weak areas is established based on BP neural network,and a sensitivity based dynamic reactive power demand assessment method was proposed.Finally,the effectiveness of the proposed method is verified on the IEEE 10 machine 39 bus system connected to the wind farm group.
作者
戴剑丰
王子博
谢嫦嫦
汤奕
Dai Jianfeng;Wang Zibo;Xie Changchang;Tang Yi(College of Automation,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;College of Artificial Intelligence,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;School of Electrical Engineering,Southeast University,Nanjing 210096,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2024年第9期60-69,共10页
Acta Energiae Solaris Sinica
基金
国家自然科学基金(52261145704)。
关键词
风电
无功功率
电压控制
神经网络
随机矩阵理论
电压薄弱区域辨识
wind power
reactive power
voltage control
neural networks
random matrix theory
voltage weak area identification
