摘要
在实际工程应用中,经典的综合负荷模型(CLM)目前在电网中得到了广泛的应用与发展。采用总体测辨法的负荷参数辨识策略,以计及频率特性的CLM为研究对象,基于瞬时的三相交流电压和电流采样数据,采用具有较强全局寻优的蚁群算法来辨识负荷模型参数。通过仿真和计算,对比分析不同时间长度的采样数据对负荷模型参数辨识结果的影响,同时分析同一时间长度的采样数据对负荷模型曲线拟合效果的影响。
In the real practice applications, classical composite load model（CLM） is widely used and developed in the power grid. In this paper, CLM considering frequency characteristics was interested in. With instantaneous sampling data of alternating current voltage and current, the CLM＇s parameters were identified by load parameter identification strategy based on measurement-based method ant colony algorithm with stronger capability of global optimization. Through simulation and calculation, the impact of sampling data with different length of time on parameter identification results of load model was comparatively analyzed. The impact of sampling data with the same time length on the curve fitting results of load model was also analyzed.
作者
徐强
梁伟
XU Qiang LIANG Wei(State Grid Jiangsu Electric Power Company, Nanjing 210024, China State Grid Jiangsu Electric Power Company Electric Power Research Institute, Nanjing 211103, China)
出处
《江苏电机工程》
2016年第5期53-56,共4页
Jiangsu Electrical Engineering
关键词
综合负荷模型
蚁群算法
参数辨识
瞬时交流数据
时间长度
composite load model
ant colony algorithm
parameter identification
instantaneous alternating current data
length of time
