摘要
本文首次将安全域用于计及安全、经济和环境影响的多目标优化问题,避免了在线优化潮流计算这一环节;合理地解决了多目标决策优先权问题。采用移动初始点方法所求出的扩展域使直观安全域趋于最大。采用了线性规划最新Karmar kar算法在变量数较多时计算速度比单纯形法快。采用的非线性规划的POWELL算法具有运算速度快、效率高和整体收敛性好的特点。用IEEE 6机30节点系统数值试验,证明了本方法的有效性。
This paper is the first one which use a steasy state security region in solving a multiobjective optimization problem. These objectives are security, economy and enviromental impact, it avoids an on-Line power flow computation in the 'optimal power flow'(OPF); it reasonably solves a maltiobjective decision-making criterion. The proposed expanded region helps construct a maximal visual security region. The novel karmarkar algorithm and powell algorithm are adopted in this paper. The method is used to solve the IEEE 30 bus test system (6 generators) and it is shown to be practical.
出处
《电力系统及其自动化学报》
CSCD
1992年第1期40-48,共9页
Proceedings of the CSU-EPSA
关键词
静态安全域
多目标优化
Karmakar算法
steady-state security region, multiobjective optimization, Karmatker algorithm.
