CAJ | 학술논문

针对电力系统实时相位跟踪问题,提出了基于自适应记忆长度的最小二乘参数估计方法.该方法直接观测三相电网电压矢量角度,并将电压相位角分解分成基波相角和由谐波或不平衡引起的相角偏离两部分,并以电网基波初相位角和角频率为参数来建立观测方程.以整周期相位误差平方和最小为目标函数,采用自适应记忆长度递推最小二乘法进行实时参数估计.试验结果表明,在各种电网畸变情况下,该方法都表现出良好的实时相位跟踪特性.
침대전력계통실시상위근종문제,제출료기우자괄응기억장도적최소이승삼수고계방법.해방법직접관측삼상전망전압시량각도,병장전압상위각분해분성기파상각화유해파혹불평형인기적상각편리량부분,병이전망기파초상위각화각빈솔위삼수래건립관측방정.이정주기상위오차평방화최소위목표함수,채용자괄응기억장도체추최소이승법진행실시삼수고계.시험결과표명,재각충전망기변정황하,해방법도표현출량호적실시상위근종특성.
In allusion to realtime tracking of system frequency and phase, a least square parameter estimation method based on adaptive memory length is proposed. This method directly observe the angle of voltage vector in three-phase power network, and the phase angle of voltage is decomposed into phase angle of fundamental component and phase angle deviation due to harmonics or system unbalance, and taking initial phase angle and angular frequency of fundamental component as parameters a observation equation is established. Taking quadratic sum of phase error in a full period as objective function, the realtime parameters are estimated by recursive least square method based on adaptive memory length. There is no trigonometric calculation in iterative process of the algorithm. The results of experiments show that the algorithm is of good tracking performance under kinds of distorted utility conditions.