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.
郑晓雨, 马进, 贺仁睦, 唐永红. 基于模型激励响应的负荷分类及泛化能力[J]. 电工技术学报, 2009, 24(2): 132-138.
Zheng Xiaoyu, Ma Jin, He Renmu, Tang Yonghong. Classification and Generalization of the Load Model Based on Model Dynamic Responses. Transactions of China Electrotechnical Society, 2009, 24(2): 132-138.
2009, Vol. 24 
