Voltage Instabilities in Large-Scale Power Systems

大型电力系统中的电压不稳定性

• 批准号: 8913074
• 负责人: Robert Thomas
• 金额: $ 33.08万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-08-01 至 1992-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8913074&HistoricalAwards=false
• 关键词: Voltage; Instabilities; Large; Scale; Power

In this proposal the notion of "voltage collapse" associated with large-scale electric power system dynamics is explored. While there has been significant research done during the past few years on the static voltage instability problem, the dynamic problem is only now beginning to emerge in analysis. The premise here is that while static indicators are important it is only through an understanding of the dynamics that effective control measures against collapse can be derived. This proposal contains three main ideas. First, any understanding of voltage dynamics requires a relevant load model. An accurate first principle dynamic load model is difficult if not impossible to achieve. A neural network based model trained on dynamic load data as a substitute for the impossible task of writing the load differential equations is proposed. The second idea is to modify the minimum singular value static performance index to include dynamic phenomena. The third idea is to extend a center manifold dynamic voltage collapse model to general slowly time-varying multi-parameter systems.

在这项建议中，探讨了与大规模电力系统动态有关的“电压崩溃”的概念。虽然在过去的几年里已经对静态电压不稳定问题进行了重要的研究，但动态问题现在才刚刚开始出现在分析中。这里的前提是，虽然静态指标很重要，但只有通过对动态的了解，才能得出防止崩溃的有效控制措施。这项提议包含三个主要思想。首先，任何对电压动态的理解都需要一个相关的负载模型。准确的第一性原理动态负荷模型即使不是不可能实现，也是困难的。提出了一种基于动态负荷数据训练的神经网络模型，用以代替不可能完成的负荷微分方程式的编写工作。第二种思想是修改最小奇异值静态性能指标，以包含动态现象。第三种思想是将中心流形动态电压崩溃模型推广到一般的慢时变多参数系统。