摘要
在获得电网系统稳态和动态数据的基础上,对负荷模型参数不确定情况下的仿真准确度进行了分析,并利用故障后系统的动态数据对不确定参数进行校正。选择遗传算法作为校正求解的算法,并对之进行了一定的改进。仿真研究在IEEE-39系统上完成,不准确参数选择为负荷比例,实际应用中可推广为电力系统所有的模型参数。最后给出了这套方案的评价和有待改进的地方。
Based on acquiring the steady-state and dynamic data of grid,the simulation veracity in the case of uncertain load model parameters is analyzed in this paper,and in return the uncertain parameters are corrected using dynamic data of post-fault system.The genetic algorithm made some improvements is selected as correction algorithm.The load ratio is selected as inaccurate parameter in IEEE-39 system simulation,which can be extended to all model parameters of power system in actual application.Finally,the evaluation and improvement areas of this scheme are given.
出处
《河北工程大学学报（自然科学版）》
CAS
2013年第4期78-81,共4页
Journal of Hebei University of Engineering:Natural Science Edition
基金
邯郸市科技局项目(1221140097-5)
关键词
遗传算法
负荷模型
仿真准确度
电力系统
genetic algorithm
load model
simulation veracity
power system
