基于IPSO-ASTUK的同步相量测量算法

A Synchronous Phasor Measurement Algorithm Based on IPSO-ASTUKF

为了进行快速并高精度的测量及跟踪电力信号的幅值、频率和相角信息,提出一种基于改进粒子群优化算法的自适应强跟踪无迹卡尔曼滤波(improved particle swarm optimization-adaptive strong tracking unscented Kalman filter,IPSO-ASTUKF)同步相量测量算法。首先利用IPSO-ASTUKF算法的比例采样修正算法参数,构建新的判定变量判定是否发生突变,根据状态变量是否突变自适应计算弱化因子;然后利用建立基波相量状态空间模型进行仿真验证。结果表明,所提算法具有更高的测量精度,在系统参数突变时具有更高的跟踪速度,使电网拥有更高的稳定性与可靠性。

In order to measure and track the amplitude,frequency and phase angle of power signal quickly and accurately,a synchronous phasor measurement algorithm based on improved particle swarm optimization-adaptive strong tracking unscented Kalman filter(IPSO-ASTUKF)is proposed.Firstly,the parameters of the proportional sampling correction algorithm of the improved particle swarm optimization algorithm were used to construct a new judgment variable to determine whether the mutation occurred,and the weakening factor was calculated according to the adaptive calculation of the state variable.Then the fundamental phasor state space model is simulated and verified.The results show that the proposed algorithm has higher measurement accuracy and higher tracking speed in case of sudden change of system parameters,so that the power grid has higher stability and reliability.