An implementable distributed state estimator and distributed bad data processing schemes for electric power systems

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Abstract
In this paper, the authors present an implementable distributed state estimator and distributed bad data detection and identification schemes for electric power systems. The system under consideration is partitioned into k areas, each of which is governed by a local control center that has at least one computer system. These decentralized computer systems are linked by a communication network. The distributed state estimator and distributed bad data processing schemes are designed to be carried out in this computer network. The proposed distributed state estimator possesses the following properties, which ensure its implementability: (1) it uses only the computers available in the decentralized local control centers; (2) it is executed in a small-scale computer communication network; (3) it can converge even if errors occasionally occur in the communication links; and (4) the decentralized computers need not be synchronous. Furthermore, this distributed bad data processing schemes can process the bad data in each area independently using the corresponding local computer system.

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