  Power system state estimation plays a fundamental and critical role in the
energy management system (EMS). To achieve a high performance and accurate
system states estimation, a graph computing based distributed state estimation
approach is proposed in this paper. Firstly, a power system network is divided
into multiple areas. Reference buses are selected with PMUs being installed at
these buses for each area. Then, the system network is converted into multiple
independent areas. In this way, the power system state estimation could be
conducted in parallel for each area and the estimated system states are
obtained without compromise of accuracy. IEEE 118-bus system and MP 10790-bus
system are employed to verify the results accuracy and present the promising
computation performance.

Distributed, Parallel, and Cluster Computing;Numerical Analysis;Performance;Signal Processing;Numerical Analysis