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| 摘要: |
| 综述了电力系统动态状态估计DSE(Dynamic State Estimation)的研究现状，对目前常用的DSE方法作了简明对比。。描述了基于扩展卡尔曼滤波EKF(Extended Kalman Filter)算法的DSE数学模型，并介绍了3类改进算法，用以提高EKF算法的自适性性、鲁棒性和准确性。针对不良数据的检测和辨识，在简要分析传统量测量残差检测和突变检测方法优缺点的基础上，又介绍了一些新的理论。总结了外部网络模型等值的一些观点。最后，提出了DSE研究中几个方面的构想以供参考。 |
| 关键词: 动态状态估计 卡尔曼滤波 模型 能量管理系统 |
| DOI： |
| 分类号:TM76 |
| 基金项目: |
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| Status quo and prospect of power system dynamic state estimation |
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LIU Hui-le LIU Tian-qi
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| Abstract: |
| The status quo and prospect of power system DSE(Dynamic State Estimation) are surveyedand some usual methods for DSE are compared briefly. The mathematical model of DSE based on EKF(Extended Kalman Filter) is described,and three kinds of improved algorithm are offered,which improves the self-adaptability,robusticity and veracity of EKF algorithm respectively. After analysis of traditional methods,including residual and sudden change detection,some new theories are introduced for bad data detection and identification. Some views on external network modeling are concluded,and concepts of several aspects in DSE study are suggested as reference. |
| Key words: dynamic state estimation,Kalman filter,model,energy manage system |
