一种基于最小二乘和一乘之和的配电网抗差状态估计方法

• Format: Patent
• Language: Chinese
• Published: 27.05.2022
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

本发明属于电力系统调度自动化技术领域，尤其涉及一种基于最小二乘和一乘之和的配电网抗差状态估计方法，包括：步骤A：用配电网节点量测矢量和状态矢量构建基于最小二乘和一乘之和的配电网抗差状态估计基本模型；步骤B：引进辅助变量将所述基本模型变换得到处处可导的等价模型；步骤C：利用原-对偶内点算法对等价模型求解。本发明在估计过程中可有效抑制包括一致性不良数据在内的多个不良数据，显示了良好的抗差性，并具有很高的计算效率，非常适宜于实际工程应用。 The invention belongs to the technical field of power system dispatching automation, in particular to a distribution network robust state estimation method based on the sum of least squares and firstmultiplication. The method comprises the following steps: step A, constructing a distribution network robust state estimation basic model based on the sum of least squares and first multiplication byusing a distribution network node measurement vector and a state vector; B, introducing auxiliary variables to transform that basic model to obtain an equivalent model which can be derive everywhere;Step C, utilizing the original-Dual interior point algorithm to solve the equivalent model. The invention can effectively restrain a plurality of bad data including bad consistency data in the estimation proc