电力系统保护与控制2011，Vol.39Issue(10)：18-26,9.
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
Transient stability constrained optimal power flow computing by combination of trajectory sensitivity and differential evolution technique
摘要
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 approaching the global optimal point are produced during solution process of TSCOPF by the trajectory sensitivity method, and applied to initialize the DE's first population. Calculations on 3-machine and 10-machine systems show that the proposed hybrid algorithm has goodconvergence and strong global search capability.This work is supported by National Natural Science Foundation of China(NSFC) (No. 50777021).关键词
最优潮流/暂态稳定/多故障/轨迹灵敏度/微分进化Key words
optimal power flow/ transient stability/ multiple contingencies/ trajectory sensitivity/ differential evolution分类
信息技术与安全科学引用本文复制引用
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):18-26,9.基金项目
国家自然科学基金项目(50777021) （50777021）
