摘要
在对传统的单纯以发电费用最少和网络损耗最小为目标的单目标最优潮流分析的基础上,利用权重系数将两者有机结合,建立了多目标的有功最优潮流模型,分别利用二次规划算法和遗传算法进行求解,并对两种计算方法的计算结果和求解效率进行了分析。
On the basis of analyzing traditional single objective o ptimal power flow with objective of minimizing generation cost or network loss,this article proposed a multi-objective optimal power flow model,which combines the two objectives by a weighting coefficient.Finally,the multi-objective optimization is solved by genetic algorithm.Both the result and efficiency are compared with that of quadratic programming.
出处
《山东电力高等专科学校学报》
2010年第3期17-19,24,共4页
Journal of Shandong Electric Power College
关键词
电力系统
最优潮流
遗传算法
多目标优化
power system
optimal power flow
genetic algorithm
multi-objective optimization