Decentralized State Estimation and Bad Measurement Identification: An Efficient Lagrangian Relaxation Approach

作者：Caro Eduardo^*; Conejo Antonio J; Minguez Roberto

来源：IEEE Transactions on Power Systems, 2011, 26(4): 2500-2508.

DOI：10.1109/TPWRS.2011.2157367

• Bad measurement identification
• decentralization
• Lagrangian relaxation
• state estimation

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.

• 出版日期2011-11