张文;刘玉田;

• 1:山东大学电气工程学院
• 2:山东大学电气工程学院 山东省济南市250061
• 3:山东省济南市250061

摘要(Abstract)：

针对传统的粒子群优化(PSO)算法中的某些参数需通过试验确定因而影响了其实用性的问题,提出了一种自适应粒子群优化(APSO)算法,并将其应用于电力系统无功优化问题的求解。该算法能在优化过程中自动调整各参数,从而取得问题的全局优化解。某具有151个节点、71个控制变量的实际电网无功优化结果表明,该算法较传统的PSO算法具有更强的全局寻优能力。

关键词(KeyWords)： 电力系统;无功优化;进化计算;粒子群优化算法

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 张文;刘玉田;

Email:

DOI: 10.13335/j.1000-3673.pst.2006.08.004

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