Probabilistic design of power-system special stability controls

被引：16

作者：

Wehenkel, L

Lebrevelec, C

Trotignon, M

Batut, J

机构：

[1] Univ Liege, Dept Elect Engn, B-4000 Cointe Ougree, Belgium

[2] Elect France, R&D Div, F-92141 Clamart, France

来源：

CONTROL ENGINEERING PRACTICE | 1999年 / 7卷 / 02期

关键词：

power systems; dynamic behavior; probabilistic models; Monte-Carlo simulation; parallel computation; blackouts; risk; data-mining; decision trees;

D O I：

10.1016/S0967-0661(98)00171-3

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A probabilistic approach to the design of power-system special stability controls is presented here. Using Monte-Carlo simulations, it takes into account all the potential causes of blackouts, slow and fast dynamics, and modeling uncertainties. A large number of scenarios are simulated in parallel by time-domain numerical integration, and the relevant parameters of the resulting system trajectories are stored in a database. Data-mining tools are used to identify the most important system weaknesses and possible improvements. The approach is tested on a large-scale study on the South-Eastern part of the extra-high-voltage system of Electricite de France. (C) 1999 Elsevier Science Ltd. All rights reserved.

引用

页码：183 / 194

页数：12