Thukaram, Dhadbanjan and Khincha, HP and Phaniram, MSS (2007) Robust Approach for Identification of Bad Data in State Estimation Using SLP Technique. In: International Journal of Emerging Electric Power Systems, 8 (4). pp. 1-18.
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This paper proposes a new approach for solving the state estimation problem. The approach is aimed at producing a robust estimator that rejects bad data, even if they are associated with leverage-point measurements. This is achieved by solving a sequence of Linear Programming (LP) problems. Optimization is carried via a new algorithm which is a combination of “upper bound optimization technique" and “an improved algorithm for discrete linear approximation". In this formulation of the LP problem, in addition to the constraints corresponding to the measurement set, constraints corresponding to bounds of state variables are also involved, which enables the LP problem more efficient in rejecting bad data, even if they are associated with leverage-point measurements. Results of the proposed estimator on IEEE 39-bus system and a 24-bus EHV equivalent system of the southern Indian grid are presented for illustrative purpose.
|Item Type:||Journal Article|
|Additional Information:||Copyright of this article belongs to Walter de Gruyter GmbH & Co. KG.|
|Keywords:||linear programming; least absolute value estimation;outliers; power system state estimation;leverage points;bad data detection|
|Department/Centre:||Division of Electrical Sciences > Electrical Engineering|
|Date Deposited:||10 Apr 2012 07:40|
|Last Modified:||11 Apr 2012 08:00|
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