  For reliable and secure power grid operation, AC state-estimation (ACSE) must
provide certain guarantees of convergence while being resilient against
bad-data. This paper develops a circuit-theoretic weighted least absolute value
(WLAV) based hybrid ACSE that satisfies these needs to overcome some of the
limitations of existing ACSE methods. Hybrid refers to the inclusion of RTU and
PMU measurement data, and the use of the LAV objective function enables
automatic rejection of bad data while providing clear identification of
suspicious measurements from the sparse residual vector. Taking advantage of
linear construction of the measurement models in circuit-theoretic approach,
the proposed hybrid SE is formulated as a LP problem with guaranteed
convergence. To address efficiency, we further develop problem-specific
heuristics for fast convergence. To validate the efficacy of the proposed
approach, we run ACSE on large cases and compare the results against WLS-based
algorithms. We further demonstrate the advantages of our solution methodology
over standard commercial LP solvers through comparison of runtime and
convergence performance.
