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储能系统技术 储能系统 ★ 5.0

基于最小特征值对数导数的大型电力系统主导振荡模式计算方法

Smallest Eigenvalues Based Logarithmic Derivative Method for Computing Dominant Oscillation Modes in Large-scale Power Systems

语言:

中文摘要

随着可再生能源的快速接入,电力电子设备与电网相互作用引发的宽频振荡成为关键稳定性问题。现有方法多适用于百节点级局部系统,难以应对数万节点规模系统的高维传递函数矩阵或高阶特征方程。为此,本文提出一种基于稀疏扩展节点导纳矩阵k个最小特征值曲线对数导数的最小特征值对数导数(SELD)方法,用于提取主导振荡模式,并开发了相应的暂态稳定分析工具。通过局部及大规模电力系统的仿真验证了该方法与工具的有效性。

English Abstract

With the rapid integration of renewable energy,wide-band oscillations caused by interactions between power electronic equipment and grids have emerged as one of the most critical stability issues.Existing methods are usually stud-ied for local power systems with around one hundred nodes.However,for a large-scale power system with tens of thousands of nodes,the dimension of transfer function matrix or the order of characteristic equation is much higher.In this case,the exist-ing methods such as eigenvalue analysis method and impedance-based method have difficulty in computation and are thus hard to utilize in practice.To fill this gap,this paper proposes a nov-el method named the smallest eigenvalues based logarithmic de-rivative(SELD)method.It obtains the dominant oscillation modes by the logarithmic derivative of the k-smallest eigenvalue curves of the sparse extended nodal admittance matrix(NAM).An oscillatory stability analysis tool is further developed based on this method.The effectiveness of the method and the tool is validated through a local power system as well as a large-scale power system.
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SunView 深度解读

该SELD方法对阳光电源大规模新能源并网系统具有重要应用价值。针对PowerTitan储能系统和SG系列逆变器大规模集群并网场景,该方法可快速识别电力电子设备与电网交互引发的宽频振荡模式,突破传统方法在万节点级系统中的计算瓶颈。可直接应用于:1)ST系列储能变流器的GFM/GFL控制参数优化,通过主导振荡模式分析调整虚拟阻抗和功率环参数;2)iSolarCloud平台集成该算法实现集群级暂态稳定在线监测;3)指导大型光储电站的控制器协调配置。该技术可显著提升阳光电源产品在复杂电网环境下的稳定性分析能力和预测性维护水平。