Real-Time Recursive Correction State Estimation Utilizing Only SCADA Measurements

In this paper, a high-efficient recursive correction state estimation method is proposed for the real-time tracking of power system states. Here, both the field timing measurements and trigger measurements from supervisory control and data acquisition systems are considered. In this regard, timing measurements are processed by a conventional batch mode estimator, while trigger measurements are processed in a novel continuous-data-stream manner, which enables the high refresh rate update of power system states. Each type of measurement runs its own state estimation in parallel, and only the estimated results are exchanged with each other. Extensive numerical results involving several IEEE standard systems validate the timeliness, accuracy, and robustness of the proposed state estimation method.