multi-objective reactive power optimization

基本解释

A multi-objective reactive power optimization algorithm, which chooses solution by means of evaluating distance of fitness space, is proposed.
提出了一种基于适应度空间距离评估选取最优解的多目标粒子群算法。
According to grid safety and economy, multi-objective model of reactive power optimization was put forward, which contained active losses of system and voltage levels.
本文在综合考虑电网安全性和经济性的前提下，提出了电力系统多目标无功优化模型，模型中考虑了系统有功网损和电压水平。
Based on the factor of self-adaptive weight sum and self-adaptive penalty function, a self-adaptive genetic algorithm is proposed and applied to solve multi-objective reactive power optimization.
引入了自适应权重和因子及自适应罚函数的概念，提出了一种自适应遗传算法，将其应用于多目标无功优化问题的求解中。

多目标无功优化
A distributed multi-objective reactive power optimization method based on the multi-agent technology is presented in the dissertation.
在无功电压分区的基础上,提出了一种多代理分布式多目标无功优化方法。