Power System Nonlinear State Estimation Using Distributed Semidefinite Programming

  title={Power System Nonlinear State Estimation Using Distributed Semidefinite Programming},
  author={Hao Zhu and Georgios B. Giannakis},
  journal={IEEE Journal of Selected Topics in Signal Processing},
State estimation (SE) is an important task allowing power networks to monitor accurately the underlying system state, which is useful for security-constrained dispatch and power system control. For nonlinear AC power systems, SE amounts to minimizing a weighted least-squares cost that is inherently nonconvex, thus giving rise to many local optima. As a result, estimators used extensively in practice rely on iterative optimization methods, which are destined to return only locally optimal… CONTINUE READING
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