石倩,刘敏.基于容积粒子滤波的配电网动态状态估计[J].电测与仪表,2023,60(10):87-91. SHI Qian,LIU Min.Dynamic State Estimation of Distribution Network Based on CPF[J].Electrical Measurement & Instrumentation,2023,60(10):87-91.
基于容积粒子滤波的配电网动态状态估计
Dynamic State Estimation of Distribution Network Based on CPF
The permeability of distributed generation in distribution network increases gradually. In order to ensure the safe and stable operation of the distribution network, it is necessary to accurately perceive the operation state of the distribution network. And Cubature Kalman filter has limited filtering accuracy for the strongly nonlinear non Gaussian system and the importance density function of standard particle filter (PF) is not inaccurate, an Cubature particle filter (CPF) algorithm is proposed to dynamic state estimation of distribution network. The importance density function of PF is designed by using the cubature Kalman filter (CKF) algorithm. It not only overcomes the restriction of Gaussian distribution noise required in CKF algorithm, but also retains the strong anti-interference ability of PF algorithm. The simulation results show that CPF algorithm is more accurate and flexible than CKF algorithm under Gaussian noise and non Gaussian noise.
