一种考虑矩阵尺度伸缩的双线性WLAV抗差状态估计方法

• Format: Patent
• Language: Chinese
• Published: 19.12.2023
• Subjects: CALCULATING; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER; COMPUTING; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; ELECTRICITY; GENERATION; PHYSICS; SYSTEMS FOR STORING ELECTRIC ENERGY

本发明公布了一种考虑矩阵尺度伸缩的双线性WLAV抗差状态估计方法。双线性WLAV抗差估计通过引入中间变量，将电力系统非线性的量测方程转变为两步线性化过程，简化了模型，降低了估计时间。但当电网中出现长短支路情况，会导致杠杆量测和信息矩阵病态，影响双线性WLAV抗差估计的数值稳定性和坏数据检测辨识。本发明通过对雅克比矩阵进行尺度伸缩，可以有效消除长短支路导致的杠杆点量测，并降低信息矩阵的条件数，提高数值稳定性，具有工程应用价值。 The invention discloses a bilinear WLAV robust state estimation method considering matrix scale scaling. According to the bilinear WLAV robust estimation, an intermediate variable is introduced, a nonlinear measurement equation of a power system is converted into a two-step linearization process, the model is simplified, and the estimation time is shortened. However, when a long branch and a shortbranch occur in a power grid, leverage measurement and information matrix conditions are caused, and the numerical stability and bad data detection and identification of bilinear WLAV robust estimation are influenced. According to the method, the Jacobian matrix is scaled and stretched, so that lever point measurement caused by long and short branches can be effectively eliminated, the number ofconditions