Bad Data Processing in Power System State Estimation by Direct Data Deletion and Hypothesis Tests
- 1 May 1987
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Systems
- Vol. 2 (2) , 321-327
- https://doi.org/10.1109/tpwrs.1987.4335126
Abstract
This paper proposes a multiple bad data processing procedure for least-squares estimation of power system static state. The procedure is based on residual analysis by iterative deletion of suspected data and hypothesis test validation of the deleted good data. Comparision is made in algebraic, algorithmic and computational aspects with a recently proposed HTI method by Mili et al.[1]. The effectiveness of the proposed bad data processing procedure is demonstrated via serveral numerical examples simulated on the IEEE 30-bus system.Keywords
This publication has 4 references indexed in Scilit:
- Implementation of the hypothesis testing identification in power system state estimationIEEE Transactions on Power Systems, 1988
- Bad Data Suppression in Power System State Estimation with a Variable Quadratic-Constant CriterionIEEE Transactions on Power Apparatus and Systems, 1985
- A New Approach for Detection and Identification of Multiple Bad Data in Power System State EstimationIEEE Transactions on Power Apparatus and Systems, 1982
- Bad data analysis for power system state estimationIEEE Transactions on Power Apparatus and Systems, 1975