摘要
本文首次将安全域用于考虑了安全、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,合理解决了多目标决策优先权问题。采用移动初始点方法求出的扩展域使直观安全域趋于最大;采用的线性规划最新Karmarkar算法在变量数较大时比单纯形法具有运算速度快;采用的非线性规划Powell算法具有运算速度快、效率高和整体收敛性好的特点。通过对一个6机30节点系统进行数值试验,证明了本文的模型、方法和算法是切实可行的。
A steady state security region is used for the first time in solving a multi-objective optimization problem which takes security, economy and environmental impact into consideration. The link of on-line power flow computation in the 'optimal power flow' is avoided and the multi-objective decision-making criterion is reasonably solved. The expanded region obtained by moving the initial point makes the visual security region approach to maximum. This method is used to solve the IEEE 30 bus test system (6 generators) and proved to be practicable.
关键词
潮流
多目标
决策
优化
optimization
tidal current
multi-objectives
decisions/steady state security region
