|
|
|
| Classification and Generalization of the Load Model Based on Model Dynamic Responses |
| Zheng Xiaoyu1, Ma Jin1, He Renmu1, Tang Yonghong2 |
| 1. Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control under Ministry of Education North China Electric Power University Beijing 102206 China 2. Sichuan Electric Power Research Institute Chengdu 610072 China |
|
|
|
|
Abstract The time-variable characteristic of the load is a limiting factor in the using of the load model. Load classification is a good approach to solve this problem. A new load model classification and generalization method is proposed in this paper. First, load model responses are chosen as the characteristic vectors in the cluster analysis. Then, the multi-curve identification technique is applied in building the load models for each class. Finally, more robust and practical models are obtained after the combination of classes, which are also verified by their strong generalization capability and physical interpretation.
|
|
Received: 16 April 2008
Published: 11 February 2014
|
|
|
|
|
|
[1] 石景海, 贺仁睦. 动态负荷模型多曲线拟合参数辨识[J]. 电力系统自动化, 2003, 27 (24): 18-22.
[2] He Renmu, Ma Jin, David J Hill. Composite loadmodeling via measurement approach[J]. IEEE Trans- actions. on Power Systems, 2006, 21(2): 1-10．
[3] Ma Jin, He Renmu, David J Hill. Load modeling by finding support vectors of load data from field measurements[J]. IEEE Transactions on Power Systems, 2006, 21(2): 726-735.
[4] 石景海, 贺仁睦. 动态负荷建模中的负荷时变性研究[J]. 中国电机工程学报, 2004, 24(4): 86-90.
[5] 陈昊, 吴杰. 高山. 模糊聚类分析在分区负荷预测中的应用[J]. 电力需求侧管理, 2006, 8(3): 12-15.
[6] 李钷, 李敏, 刘涤尘.基于改进回归法的电力负荷预测[J]. 电网技术, 2006, 30(1): 99-104.
[7] 孙雅明, 王晨力, 张智晟, 等. 基于蚁群优化算法的电力系统负荷序列的聚类分析[J]. 中国电机工程学报, 2005, 25(18): 40-45.
[8] 王成山, 曹旌, 陈光远. 基于聚类分析的电力系统暂态稳定故障筛选[J]. 电网技术, 2005, 29(15): 18-22.
[9] 贺仁睦, 周文. 电力系统负荷模型的分类与综合[J].电力系统自动化, 1999, 23(19): 12-16.
[10] 张伶俐, 周文, 章健, 等. 面向综合的电力负荷动特性建模[J]. 中国电机工程学报, 1999, 19(9): 36-45.
[11] 黄梅, 贺仁睦, 杨少兵. 模糊聚类在负荷实测建模中的应用[J]. 电网技术, 2006, 30(14): 49-52.
[12] 李黎. 基于聚类分析的负荷数据分类方法的研 究[D]. 北京：华北电力大学, 2004.
[13] 石景海, 贺仁睦. 基于量测的负荷建模-分类算 法[J]. 中国电机工程学报, 2004, 24(2): 78-82.
[14] 鞠平, 金艳, 吴峰, 等. 综合负荷特性的分类综合方法及其应用[J]. 电力系统自动化, 2004, 28(1): 64-68.
[15] 李欣然, 林舜江, 刘杨华, 等. 基于实测响应空间的负荷动特性分类原理与方法[J]. 中国电机工程学报, 2006, 26(8): 39-44.
作者简介: 郑晓雨 男, 1984年生, 博士研究生, 主要研究方向为电力系统负荷仿真与建模。马 进 男, 1975年生, 博士, 副教授, 研究方向为负荷建模和电力系统动态分析。 |
|
|
|
2009, Vol. 24 
