论文标题
使用单数值优化在电源系统中调整控制器
Controller tuning in power systems using singular value optimization
论文作者
论文摘要
随着大型电力系统中可再生能源生成的份额不断增加，电力系统的运行变得越来越具有挑战性。可再生和传统发电的不断变化的混合会导致动态变化，从而增加了停电的风险。我们建议在电源系统中重新恢复已经存在的控制器的参数，以解释看似变化的操作条件。为此，我们提出了一种快速和计算有效调整结构化控制器参数的方法。调整的目的是将系统杆转移到复杂平面中的指定区域，例如用于稳定或振荡阻尼。该方法利用了频域中的奇异值优化，这可以扩展到大型系统，并且不限于电源系统。该方法的效率显示在大小增加的三个系统中，并具有多个初始参数化。
As the share of renewable generation in large power systems continues to increase, the operation of power systems becomes increasingly challenging. The constantly shifting mix of renewable and conventional generation leads to largely changing dynamics, increasing the risk of blackouts. We propose to retune the parameters of the already present controllers in the power systems to account for the seemingly changing operating conditions. To this end, we present an approach for fast and computationally efficient tuning of parameters of structured controllers. The goal of the tuning is to shift system poles to a specified region in the complex plane, e.g. for stabilization or oscillation damping. The approach exploits singular value optimization in the frequency domain, which enables scaling to large systems and is not limited to power systems. The efficiency of the approach is shown on three systems of increasing size with multiple initial parameterizations.
