Identification of Nonlinear Dynamic Load Models Using an Alternating Least Squares Approach

摘要：

Load modeling has a significant impact on power systems dynamic simulation and control.In this paper,an alternating least squares approach is proposed to decompose the nonlinear optimization problem of dynamic load parameter identification to two linear least squares problems,which can be solved in an alternating manner.A DFT-based numerical derivative technique is also proposed to attenuate the effect of noises in the process of parameter estimation.Case studies are conducted using simulation data and laboratory measurements to demonstrate the effectiveness of the proposed methods.

关键词： Power systems :dynamic load models :parameter estimation :alternating least squares methods :discrete Fourier transforms

作者: Jing Yang Weixing Li Tongwen Chen Min Wu

作者单位: School of Information Science and Engineering,Central South University,Changsha,Hunan 410083,China;D Department of Electrical and Computer Engineering,University of Alberta,Edmonton,AB T6G2V4,Canada;De Department of Electrical and Computer Engineering,University of Alberta,Edmonton,AB T6G2V4,Canada School of Information Science and Engineering,Central South University,Changsha,Hunan 410083,China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies(第四届电力设施管制、重建及能源技术国际会议 DRPT 2011)

会议地点: 威海

会议语种:英文

页码: 1155-1160

在线出版日期: 2011-07-06（万方平台首次上网日期，不代表论文的发表时间）