  In this paper, a novel linear algorithm is proposed for state estimation
including bad data detection of power systems that are monitored both by
conventional and synchrophasor measurements. Both types of data are treated
simultaneously and the states are estimated in rectangular coordinates. The
proposed estimator is based on the linear weighted least square method. To
enable the derivation of linear measurement functions, the network is modelled
in terms of voltages and currents in rectangular form and pseudo-measurements
are used to represent conventional measurements. Furthermore, the largest
normalized residual test is used to detect bad data. To validate the accuracy
and robustness of the proposed algorithm, several test cases of different sizes
are solved and the results are presented and discussed.
