A Method of Load Classification Based on the Trajectory Sensitivity
Zheng Xiaoyu1, He Renmu1, Ma Jin1, 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:Load time-variant characteristic has great impacts on load modeling. It is an effective way to classify the load data for eliminating that effect. In this paper, trajectory sensitivity is used in load classification and a new approach is proposed. In this method, load model parameters are first derived from the field measurement data, then, the trajectory sensitivities with respect to induction motor parameters under the same voltage disturbance are calculated. After the analysis of trajectory sensitivity results, the maximum value of the reactive power sensitivity with respect to rotor resistance of motor is proposed to be utilized in load classification. Comparing with other classification methods, this approach is simpler and has more clear mechanism meaning. The theory deduction and practical case shows its efficiency.
郑晓雨, 贺仁睦, 马进, 唐永红. 基于轨迹灵敏度的负荷分类[J]. 电工技术学报, 2010, 25(9): 145-150.
Zheng Xiaoyu, He Renmu, Ma Jin, Tang Yonghong. A Method of Load Classification Based on the Trajectory Sensitivity. Transactions of China Electrotechnical Society, 2010, 25(9): 145-150.
[1] IEEE Task Force on Load Representation for Dynamic Performance. Load representation for dynamic performance analysis[J]. IEEE Trans. Power Syst., 1993, 8(2): 472-482. [2] IEEE Task Force on Load Representation for Dynamic Performance. Bioliography on load models for power flow and dynamic performance simulation[J]. IEEE Transactions on Power Systems, 1995, 10(1): 523-538. [3] 鞠平, 马大强. 电力负荷模型的机理式集结模型[J]. 中国电机工程学报, 1990, 10(3): 34-41. [4] Ma Jin, He Renmu, Hill D J. Load modeling by finding support vectors of load data from field measurements[J]. IEEE Transactions on Power Systems, 2006, 21(2): 726-735. [5] Kundur P. Power system stability and control[M]. New York: Mc Graw-Hill Inc., 1993. [6] 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. [7] 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. [8] 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. [9] 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. [10] 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. [11] 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. [12] He Renmu, Ma Jin, Hill D J. Composite load modeling via measurement approach[J]. IEEE Transactions on Power Systems, 2006, 21(2): 663-672. [13] Shi J H, He Renmu. Measurement-based load modeling-model structure[C]. 2003 IEEE Bologna Power Tech Conference, 2003. [14] Mark J Laufenberg, Pai M A. Sensitivity theory in power systems: application in dynamic security analysis[C]. Proceedings of the IEEE International Conference on Control Applications, Dearborn, Michigan, 1996: 738-743. [15] Mark J Laufenberg, Pai M A. A new approach to dynamic security assessment using trajectory sensitivities[J]. IEEE Transactions on Power Systems, 1998, 13(3): 953-958. [16] Ma Jin, Han Dong, He Renmu, et al. Reducing identified parameters of measurement-based composite load model[J]. IEEE Transactions on Power Systems 2008, 23(1): 76-83. [17] 王卫国, 贺仁睦, 王铁强. 反映综合负荷动特性机理的感应电动机模型[J]. 电力系统自动化, 2002, 26(4): 32-36.