面向新型电力系统的规划运行两阶段小信号稳定性增强方法

A Two-Stage Small-Signal Stability Enhancement Method for Planning and Operation of New-Type Power Systems

中文关键词:模态分析法  多机组参数优化  数据驱动预测控制  稳定性增强

keywords:s-domain modal analysis  multiple-generator parameter optimization  data-driven predictive control  stability enhancement

中文摘要:大量新能源以电力电子装备的形式接入电力系统，可能引发宽频振荡稳定性问题。为提升电力系统小信号稳定性，提出一种基于复频域模态分析与数据驱动控制的电力系统稳定性增强方法。首先，介绍了基于复频域导纳的稳定性分析方法，并建立了电力系统复频域导纳矩阵模型；其次，为提高易失稳模态的抗干扰性，以提高薄弱节点均衡度和阻尼比为指标，提出了基于模型参数优化的一阶段稳定性增强方法；再次，针对宽频振荡问题的紧急致稳，提出了基于数据驱动预测控制的两阶段稳定性增强方法，并基于可控性指标选取合适的振荡抑制方案；最后，在IEEE 9和英国电网背景下通用12节点测试系统中，验证了所提模型数据混合驱动稳定性增强方法的有效性。优化后的电力系统小信号稳定性显著提高，且能有效抑制宽频振荡。

Abstract:The integration of large-scale renewable energy sources via power electronic devices gives rise to wide-band oscillation stability issues in power systems. To enhance small-signal stability in power systems，this paper proposes a stability enhancement method based on s-domain modal analysis and data-driven control. First，the stability analysis method based on s-domain admittance is introduced，and an s-domain admittance matrix model of the power system is established. Second，to improve the anti-interference ability of unstable-prone modes，a one-stage stability enhancement method based on model parameter optimization is proposed，with the improvement of the balance degree and damping ratio of weak nodes as the indicators. Third，to address emergency stabilization of wide-band oscillations，a data-driven predictive-control based second stage stability enhancement method is developed. This approach selects appropriate oscillation suppression strategies based on controllability indices. Finally，the effectiveness of the proposed model and data-hybrid-driven stability enhancement method is validated on the IEEE 9-bus and generic 12-bus system in context of UK grid 12-bus test systems. The results demonstrate that the optimized system exhibits significantly improved small signal stability and effectively suppresses wide-band oscillations.