An Efficient Algorithm for Solving Distributed State Estimator and Laboratory Implementation

  • Authors:

  • S.-S. Lin;Huay Chang

  • Affiliations:

  • Dept. of Electrical Engineering, St. John's & St. Mary's Institute of Technology;Dept. of Information Management,Institute of Technology, Ph.D. Candidate of Fu-Dan University

  • Venue:
  • ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Volume 01
  • Year:
  • 2005

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Abstract

In this paper, we present a distributed constrained state estimator which takes the power flow balance constraints on zero injection buses as well as the bus voltage magnitude lying within the secure range into account so as to improve the accuracy of the estimated states. We propose an efficient algorithm that combines a projected Jacobi method with a parallel duality based method to solve the distributed constrained state estimation problem. The novel parallel duality based method possesses two decomposition effects, which not only make our method being parallel but also greatly increase the computational efficiency of our method. We have tested our method on several numerical examples, IEEE 30 bus system & IEEE 118 bus system and obtained successful result.