摘要
提出了一种应用混沌优化方法进行电力系统静态负荷模型参数辨识的新策略。混沌优化方法利用混沌变量的随机性、规律性、遍历性寻优 ,能够克服传统的基于梯度寻优的辨识方法容易陷入局部极小点的不足 ,而且方法简单、快速、易于掌握。
By applying chaotic optimization, which uses the ergodicity, stochastic property and regularity of chaotic motion. anew method for parameter estimation of static load model of power systems is proposed. It calculates the value of objectivefunction of each candidate solution to evaluate their optimality without any special requests for objective function, so can avoidthe local optimal points of traditional gradient search. Moreover, this method is simple and fast. Simulation results show thatchaotic optimization is effective for parameter estimation of static load model.
出处
《电力系统自动化》
EI
CSCD
北大核心
2000年第13期27-30,共4页
Automation of Electric Power Systems
关键词
静态负荷模型
混沌优化
参数辨识
电力系统
static load model
chaotic optimization
parameter estimation
power systems
