摘要
针对无功优化多变量、多约束、非线性的特点,提出一种电力系统无功优化的新算法———混沌蚁群优化算法(CACO),并将混沌蚁群优化算法应用在电力系统无功优化中,以有功网损最小为目标函数,建立了CACO无功优化数学模型。通过IEEE30节点算例和某地区一个实际电网算例,验证了算法的有效性。
The reactive power optimization is a large scale nonlinear optimization problem with a large number of variables and terms. According to these characteristics, a new algorithm of the chaos ant colony optimization （CACO） is proposed for the reactive power optimization system. The recent work about ant algorithms and applications is reviewed, and the chaos ant colony optimization （CACO） algorithm is used for the reactive power optimization of electric power systems. The model of reactive power optimization is established by taking the minimum network loss as the objective. Its validity is verified through arithmetic examples of IEEE30 node and a practical area network.
出处
《现代电力》
2009年第4期15-19,共5页
Modern Electric Power
关键词
混沌序列
蚁群算法
无功优化
补偿容量
chaos sequence
ant colony algorithm
reactive power optimization
compensational capacity
作者简介
刘哲（1983-），男，硕士研究生，研究方向为人工智能在电力系统中的应用；
赵冬梅（1965-），女，教授，研究方向为电力系统分析与控制；
张旭（1977-），男，讲师，研究方向为电力系统分析与控制。
