摘要
文中介绍了混沌优化的原理,通过改进变尺度混沌优化方法的算法结构,在一定程度上减少了混沌变量初值的选择对于运算结果的影响,提高了混沌优化算法的效率和性能,数值仿真证明算法有效;将改进后的方法应用于大规模电力系统经济负荷分配的算例和实际电站系统中,取得了更为优化的结果;文中还使用了另一种有效的混沌优化策略对相同算例进行计算,结果亦证实了改进算法的有效性和实用性。该文为混沌优化方法的研究提供了一种参考方向。
The theory of chaotic optimization is introduced. By meliorating the algorithm configuration, the influence of initial states choice of chaotic variables on operating results is decreased in some degree, and both the efficiency and the performance of mutative scale chaos optimization algorithm are improved. Numeric simulation demonstrates the effectiveness of the algorithm. The improved method is applied to economic load dispatch instances as large power system and practical units of power plant, and more optimal results are obtained. Meanwhile, another effective chaotic algorithm is applied to the same problems, and the calculation also proves the effectiveness and practicability of the above algorithm. The method provides a reference orientation for the analysis of chaotic optimization.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2005年第24期90-95,共6页
Proceedings of the CSEE
关键词
经济负荷分配
变尺度混沌优化
逻辑映射
阀点效应
网损
Economic load dispatch： Mutative scale chaotic optimization
Logistic mapping
Valve point loading
Transmission loss
