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Distributed Hybrid Power State Estimation Under PMU Sampling Phase Errors

Author(s): Du, Jian; Ma, Shaodan; Wu, Yik-Chung; Poor, H Vincent

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Abstract: This paper proposes a novel distributed reduced-rank scheme and an adaptive algorithm for distributed estimation in wireless sensor networks. The proposed distributed scheme is based on a transformation that performs dimensionality reduction at each agent of the network followed by a reduced-dimension parameter vector. A distributed reduced-rank joint iterative estimation algorithm is developed, which has the ability to achieve significantly reduced communication overhead and improved performance when compared with existing techniques. Simulation results illustrate the advantages of the proposed strategy in terms of convergence rate and mean square error performance.
Publication Date: 13-Nov-2014
Citation: Du, Jian, Ma, Shaodan, Wu, Yik-Chung, Poor, H Vincent. (2014). Distributed Hybrid Power State Estimation Under PMU Sampling Phase Errors. IEEE Transactions on Signal Processing, 62 (16), 4052 - 4063. doi:10.1109/tsp.2014.2332438
DOI: doi:10.1109/tsp.2014.2332438
ISSN: 1053-587X
EISSN: 1941-0476
Pages: 4052 - 4063
Type of Material: Journal Article
Journal/Proceeding Title: IEEE Transactions on Signal Processing
Version: Author's manuscript

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