为分析直驱风电机组并网对电力系统小干扰稳定的影响并避免复杂建模,融合模式能量分析技术与经典小干扰稳定性理论中的特征值方法,建立一种用于评估系统动态行为的模式阻尼能量函数,采用能量形式对直驱风电机组接入电网所引起的低频动态现象进行量化表征。首先,解析多台直驱风电机组并入电网场景下系统的低频振荡模式阻尼能量分布特性。其次,提取出振荡关键环节的模式阻尼能量,基于模式能量分析与特征值灵敏度理论,建立适用于直驱永磁风电机组并网系统的稳定性量化评估体系,研究直驱风电机组接入电网的不同位置对电力系统动态振荡特性的作用效果。最后,基于小干扰稳定评估指标与灵敏度指标提出直驱风电机组并网的小干扰稳定调控策略,并在3机9节点和新英格兰10机39节点系统中通过小干扰稳定分析,验证了所提方法具备可靠性与应用价值。
Abstract
To analyze the impact of direct-drive wind turbine integration on power system small-signal stability while avoiding complex modeling, this study combines modal energy analysis technology with the eigenvalue method from classical small-signal stability theory, establishing a modal damping energy function for evaluating system dynamic behavior. The low-frequency dynamic phenomena caused by grid integration of direct-drive wind turbines are quantitatively characterized in an energy terms. Firstly, the distribution characteristics of low-frequency oscillation modal damping energy in systems with multiple direct-drive wind turbines integrated into the grid are analytically examined. Subsequently, the modal damping energy of key oscillation links is extracted. Based on modal energy analysis and eigenvalue sensitivity theory, a quantitative stability evaluation framework suitable for direct-drive wind turbine grid-connected systems is established, and the effects of different integration locations of direct-drive wind turbines on power system dynamic oscillation characteristics are investigated. Finally, a small-signal stability regulation strategy for direct-drive wind turbine integration is proposed based on small-signal stability evaluation indices and sensitivity indicators. The reliability and applicability of the proposed method are validated through small-signal stability analysis in both a 3-machine 9-bus system and the New England 10-machine 39-bus system.
关键词
可再生能源 /
能量函数 /
直驱风电机组 /
低频振荡 /
小干扰稳定 /
灵敏度
Key words
renewable energy /
energy function /
direct drive wind turbine /
low-frequency oscillation /
small signal stability /
sensitivity
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基金
国网山西省电力公司科技项目（520530230024）
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