广东电力2016，Vol.29Issue(9)：73-77,108,6.DOI:10.3969/j.issn.1007-290X.2016.09.015
计及零注入约束的电力系统动态状态估计
Dynamic State Estimation on Power System with Zero Inj ection Constraints
杨韵1
作者信息
- 1. 广东电网有限责任公司电力调度控制中心，广东 广州510600
- 折叠
摘要
Abstract
Most of the existing dynamic state estimation methods do not consider constraint conditions for the system and the estimation results can not satisfy flow equations. Therefore,this paper proposes a dynamic state estimation model for power system with zero injection constraints and uses projected unscented Kalman filter (PUKF)algorithm for solutions. Unscent-ed transformation technology is used for processing nonlinear equations and is able to avoid linear errors. Projected estima-tion method is used for projecting estimated values of state vectors on the constraint surface and ensure estimated results strictly satisfy constraint conditions. IEEE-30 node system is used for simulation analysis,PUKF algorithm considering zero injection constraints,extended Kalman filter (EKF)algorithm and unscented Kalman filter (UKF)algorithm are compared as well. Results indicate that compared with dynamic state estimation without regard to constraints,PUKF-based dynamic state estimation considering zero injection constraints has better performance of state estimation,measurement filter,con-straint satisfaction and bad data detection.关键词
动态状态估计/投影无迹卡尔曼滤波/零注入约束/不良数据检测Key words
dynamic state estimation/projected unscented Kalman filter/zero injection constraint/bad data detection分类
信息技术与安全科学引用本文复制引用
杨韵..计及零注入约束的电力系统动态状态估计[J].广东电力,2016,29(9):73-77,108,6.
