| 结合轨迹灵敏度和微分进化技术的暂态稳定约束最优潮流计算 |
| |
| 引用本文： | 黄玉龙,刘明波.结合轨迹灵敏度和微分进化技术的暂态稳定约束最优潮流计算[J].电力系统保护与控制,2011,39(10):18-26. |
| |
| 作者姓名： | 黄玉龙 刘明波 |
| |
| 作者单位： | 华南理工大学电力学院，广东省绿色能源技术重点试验室，广东 广州 510640 |
| |
| 基金项目： | 国家自然科学基金项目（50777021） |
| |
| 摘 要： | 分析了求解多故障暂态稳定约束最优潮流的轨迹灵敏度法存在的问题，提出了相应的改进方案。利用轨迹灵敏度法的快速收敛特性和微分进化算法的全局搜索能力，借助用轨迹灵敏度法求解暂态稳定约束最优潮流问题过程中产生的多个逼近全局最优点的稳定和不稳定点来构成微分进化算法的初始种群，将两者结合起来构造成求解多故障TSCOPF的混合算法。在3机和10机试验系统上的计算表明，所构建的混合算法收敛性快且全局搜索能力强。
|
| 关 键 词： | 最优潮流 暂态稳定 多故障 轨迹灵敏度 微分进化 |
Transient stability constrained optimal power flow computing by combination of trajectory sensitivity and differential evolution technique |
| |
| HUANG Yu-long,LIU Ming-bo.Transient stability constrained optimal power flow computing by combination of trajectory sensitivity and differential evolution technique[J].Power System Protection and Control,2011,39(10):18-26. |
| |
| Authors: | HUANG Yu-long LIU Ming-bo |
| |
| Affiliation: | HUANG Yu-long,LIU Ming-bo (Guangdong Key Laboratory of Clean Energy Technology,School of Electric Power,South China University of Technology,Guangzhou 510640,China) |
| |
| Abstract: | According to the analysis of existing problems in trajectory sensitivity methods for transient stability constrained optimal power flow (TSCOPF) under multi-contingency condition,an improved scheme is proposed.In order to take advantage of fast convergence of the trajectory sensitivity method and global search capability of the differential evolution(DE)method,a hybrid algorithm for TSCOPF under multi-contingency condition is formed by combining these two methods,in which many stable and unstable points app... |
| |
| Keywords: | optimal power flow transient stability multiple contingencies trajectory sensitivity differential evolution |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《电力系统保护与控制》浏览原始摘要信息 |
|
点击此处可从《电力系统保护与控制》下载全文 |
