A new method for power system multiarea distributed state estimation considering hybrid supervisory control and data acquisition (SCADA) system and phasor measurement unit (PMU) measurement is presented. First

it is assumed that the measurement model is linear

the network is decomposed by the extended subareas including the border buses of neighboring subareas. Then the problem is solved by the alternating direction method of multipliers (ADMM)

a method widely used in distributed optimization. Only the states of border buses need to be exchanged among nearby areas without central coordination

thus retaining the independence of each subarea. Afterwards

based on bilinear theory integrating hybrid SCADA system and PMU measurements

the traditional nonlinear state estimation is transformed into a threestage problem. The first and third stage simply solve the linear state estimation problem during which ADMM is applied to solving the distributed problem

the second stage is onestep nonlinear transform in which each subarea can perform this nonlinear transformation independently. The combination of bilinear theory and ADMM ensures the convergence of distributed state estimation while improving computational efficiency. Finally

numerical tests have verified the advantage of the proposal over existing methods in many aspects. This work is supported by National Natural Science Foundation of China (No. 51277052

No. 51107032

No. 61104045) and State Grid Corporation of China.