考虑大规模风电接入的电网薄弱区域动态无功需求评估
DYNAMIC REACTIVE POWER DEMAND ASSESSMENT IN WEAK AREA OF POWER GRID CONSIDERING LARGE-SCALE WIND POWER INTEGRATION
戴剑丰 1王子博 1谢嫦嫦 2汤奕2
作者信息
- 1. 南京邮电大学自动化学院,南京 210023;南京邮电大学人工智能学院,南京 210023
- 2. 东南大学电气工程学院,南京 210096
- 折叠
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.
Abstract
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.
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Key words
wind power/reactive power/voltage control/neural networks/random matrix theory/voltage weak area identification引用本文复制引用
出版年
2024
NETL
NSTL
万方数据