BCU Classifiers for On-line Dynamic Contingency of Electric Power Systems: Design, Developments and Applications

用于电力系统在线动态应急的 BCU 分类器：设计、开发和应用

• 批准号: 9812139
• 负责人: Hsiao-Dong Chiang
• 金额: $ 19.25万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-09-01 至 2001-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9812139&HistoricalAwards=false
• 关键词: BCU; Classifiers; line; Dynamic; Contingency

ECS-9812139 Chiang This proposal presents an architecture for on-line DSA and seeks to develop a dynamic contingency screening scheme based on the direct method to make on-line DSA feasible for current or near future power system operating environments. In particular, this proposal will develop BCU classifiers to satisfy the following essential requirements for on-line DSA: (1) (reliability measure) absolute capture of unstable contingencies; i.e. no unstable (single-swing or multi-swing) contingencies are missed. In other words, the ratio of the captured unstable contingencies to the actual critical contingencies is 1. (2) (efficiency measure) high yield of screening out stable contingencies, i.e. the ratio of the stable contingencies detected to the actual stable contingency cases is as close to 1 as possible. (3) (on-line computation) little need of off-line computations and/or adjustments in order to meet with the constantly changing and uncertain operating conditions. (4) (speed measure) high speed, i.e. fast classification for each contingency case. (5) (performance measure) robust performance with respect to changes in power system operating conditions. To meet the five essential requirements, we propose to first perform the following tasks: (1) to conduct some theoretical study for development of numerical indices, (2) to construct improved numerical energy functions, (3) to develop a more reliable numerical implementation of the BCU method, (4) to develop numerical indices for detecting the occasional, invalid numerical energy functions, and (5) to develop numerical indices to detect the occasional controlling u.e.p. convergence problem. Then, the results of these tasks will be integrated into the preliminary version of BCU classifiers to form an improved version of BCU classifiers which will satisfy the five requirements for performing on-line dynamic contingency screening. The success of this proposed project has a direct impact on making the task of performing on-line DSA feasible for current or near-future power system operating environments.

ECS-9812139 Chiang本提案提出了一种在线DSA的体系结构，并寻求开发一种基于直接方法的动态应急筛选方案，以使在线DSA在当前或不久的将来的电力系统运行环境中可行。 特别是，本提案将开发BCU分类器，以满足在线DSA的以下基本要求： (1)（可靠性测量）不稳定意外事件的绝对捕获;即没有不稳定（单摆动或多摆动）意外事件被遗漏。 换句话说，捕获的不稳定意外事件与实际临界意外事件的比率为1。 (2)（效率测度）筛选出稳定偶然事件的高收益率，即检测到的稳定偶然事件与实际稳定偶然事件的比率尽可能接近1。 (3)（在线计算）几乎不需要离线计算和/或调整以满足不断变化和不确定的操作条件。 (4)（速度测量）高速，即对每个偶然情况的快速分类。 (5)（性能测量）相对于电力系统运行条件变化的鲁棒性能。 按照五项基本要求，我们建议首先做好以下工作：（1）为发展数值指标进行一些理论研究，（2）构造改进的数值能量函数，（3）发展BCU方法的更可靠的数值实现，（4）发展用于检测偶然的、无效的数值能量函数的数值指标，以及（5）发展检测偶然控制u. e. p.收敛问题的数值指标。 然后，这些任务的结果将被集成到BCU分类器的初步版本，形成一个改进版本的BCU分类器，将满足五个要求进行在线动态应变筛选。 该项目的成功将直接影响在线DSA在当前或不久的将来电力系统运行环境中的可行性。