1. Decentralized State Estimation and Bad Measurement Identification: An Efficient Lagrangian Relaxation Approach.
- Author
-
Caro, Eduardo, Conejo, Antonio J., and Minguez, Roberto
- Subjects
- *
STATE estimation in electric power systems , *ELECTRIC power management , *DECENTRALIZATION of electric power plants , *MATRICES (Mathematics) , *SIMULATION methods & models , *DECOMPOSITION method , *ALGORITHMS - Abstract
This paper proposes a decentralized state-estimation approach that relies on an elaborated instance of the Lagrangian relaxation decomposition technique. The proposed algorithm does not require a central coordinator but just to moderate interchanges of information among neighboring regions, and exploits the structure of the problem to achieve a fast and accurate convergence. Additionally, a decentralized bad measurement identification procedure is developed, which is efficient and robust in terms of identifying bad measurements within regions and in border tie-lines. The accuracy and efficiency of the proposed procedures are assessed by a large number of simulations, which allows drawing statistically sound conclusions. [ABSTRACT FROM PUBLISHER]
- Published
- 2011
- Full Text
- View/download PDF