摘要
杂草算法(Invasive Weed Optimization,IWO)模拟杂草的入侵行为从而达到优化目标的算法,该算法已成功应用到多种实际优化问题中,如鲁棒控制器的优化和调整、电力市场动态研究等。本文设计了包含4台机器的电力实验系统。将系统调至低频震荡状态,分别在安装PSS和未安装PSS两种情况下,对IWO算法进行测试。为了更好的测度PSS的性能设计了目标函数。测试出在三钟不同负荷状态下的特征值和非线性时域仿真数据。通过分析表明,在多机系统下,采用IWO算法调整PSS,能够提高系统抵抗低频震荡的能力。
Invasive Weed Optimization algorithm is inspired fom colonizing weeds, which is used to mimic the natural behavior of weeds in colonizing and occupying suitable places for growth and reproduction. It has the robustness, adaptation and randomness and simple. And the algorithm have been used in some areas. A power system including 4 machine is designed. IWO is tested when the system with PSS and without laSS is the Low - frequency vibrations case. And construct a target function for PSS. Extensive simulations are conducted along with statistical tests to yield helpful conclusions regarding the effects of parameter settings on the algorithm＇s performance.
出处
《山东农业大学学报（自然科学版）》
CSCD
北大核心
2013年第4期634-639,共6页
Journal of Shandong Agricultural University：Natural Science Edition
关键词
杂草算法
电力系统
PSS
智能优化
Invasive Weed Optimization
Power System
laSS
intelligent optimization
