摘要
通过在线无功优化,降低网损、保证电压质量,对供电企业的经济运行是非常必要的。文章针对此问题就无功优化方法中具有代表性且差异较大的两种方法———内点法和遗传算法进行研究和比较,在IEEE30节点系统中进行实例计算,比较这两种算法在收敛性能、计算速度、对离散变量的处理等方面的优劣性,给出了两种算法相结合的无功优化算法,得到了比较满意的结果。
The paper compares primal-dual interior point and genetic algorithm. The two methods are representative and different in reactive power optimization. Advantage and disadvantage in astringency, computational speed and disposal for discrete variable are analyzed .It proposes a new method which combines advantages of the former methods. The proposed method has been applied to IEEE 30-bus system. The test results show that this method is feasible and practical.
出处
《电力科学与工程》
2005年第1期8-12,共5页
Electric Power Science and Engineering
关键词
电力系统
无功优化
原对偶内点法
遗传算法
electric system
reactive power optimization
primal-dual interior point method
genetic algorithm
