Multiple Constraints Consideration in Power System State Estimation

State estimator is a likehood estimation system determines the best states of the power system. State estimation plays an essential role in modern Energy Management systems (EMS). This paper discusses a novel algorithm developed to detect any missing measurement data, bad data, elimination of bad data and status of network observability. The paper focus and considers the uncertainties in the available measurement data set while estimating the states of power system. The algorithm developed is simple and efficient. It is tested and implemented on IEEE 14 bus system. Keywords - Bad data detection, Measurement Uncertainty, Observability, State Estimation, Weighted Least Square (WLS).

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