论文标题
通过特征性优化改善低惯性系统的动态性能
Improving Dynamic Performance of Low-Inertia Systems through Eigensensitivity Optimization
论文作者
论文摘要
可再生生成的渗透增加导致系统中旋转惯性水平降低。后果是对系统动态响应的干扰和恶化的脆弱性。为了克服这些挑战,已经引入了提供虚拟惯性和阻尼的新型转换器控制方案,这提出了此类设备在整个网络中最佳分布的问题。本文介绍了一个基于性能的虚拟惯性分配,并在低惯性系统中对转换器互换发电机进行阻尼。这是通过确定最佳控制器增益的基于迭代,特征密度的优化算法来实现的。在3个区域,12个总线测试系统上提出和验证了两个概念上不同的问题公式。
An increasing penetration of renewable generation has led to reduced levels of rotational inertia and damping in the system. The consequences are higher vulnerability to disturbances and deterioration of the dynamic response of the system. To overcome these challenges, novel converter control schemes that provide virtual inertia and damping have been introduced, which raises the question of optimal distribution of such devices throughout the network. This paper presents a framework for performance-based allocation of virtual inertia and damping to the converter-interfaced generators in a low-inertia system. This is achieved through an iterative, eigensensitivity-based optimization algorithm that determines the optimal controller gains. Two conceptually different problem formulations are presented and validated on a 3-area, 12-bus test system.