Patent Document ID: 8634965
Application ID: 13680300
Patent Flag: 1

Claim One:
1. A computer-implemented method for power system state estimation comprising: receiving measurements of a power system by one or more remote terminal units; transferring said measurements to a central processing unit; dividing said measurements into a base set and a redundant set by said central processing unit; calculating a voltage for each bus of said power system utilizing said base set by said central processing unit; calculating a recovered value for each of said measurements in said redundant set by said central processing unit; calculating a residual value for each of said measurements in said redundant set by calculating a difference between said recovered values and said measurements in said redundant set; forming a vector r Z R with said residual values by said central processing unit; forming a matrix K=−H R H B −1 by said central processing unit, wherein H B is a Jacobian matrix corresponding to said measurements of said base set and H R is a Jacobian matrix corresponding to said measurements of said redundant set by said central processing unit; calculating averaged calculations to create a vector C by said central processing unit, wherein each value c i of said vector C is calculated using the equation c i = ∑ j = 1 n ⁢ k ij 2 ⁢ σ j 2 , wherein k ij is the entry in the i-th row and the j-th column in said matrix K; calculating a threshold t = Φ - 1 ⁢ { ( 1 - α ) 1 m - n + 1 2 } to determine abnormal residuals in said residual values, wherein α is comprised of a confidence level, m is a total number of measurements across said system; n is the number of said measurements in said base set and Φ −1 is the inverse function of the standard normal distribution function; dividing each of said residual values by a corresponding value in said vector C by said central processing unit to create a comparative value; comparing said comparative value for each of said measurements in said redundant said with said threshold; determining each of said measurements in said base set is bad data if an absolute value of said comparative value is greater than said threshold by said central processing unit; and determining each of said measurements in said base set is good data if an absolute value of said comparative value is less than said threshold by said central processing unit.