Proceedings of the IEEE · 2000 · 768 citations · 72 references
EngineeringElectrical EngineeringSystems EngineeringEnergy SystemsReal-time SystemsSystems ModelingPower Grid AnalysisPower SystemsSmart Grid SystemsSmart GridsState EstimationSystem IdentificationElectric Power System ModelingInterconnected Power SystemsMathematical RepresentationOnline State EstimationPower System ModellingReal-time EstimationState Prediction
State estimation is essential in energy management systems for constructing real‑time network models, which are quasi‑static representations of current conditions, and its importance is rising due to new control devices and evolving energy markets. The paper reviews the current state of the art in electric power system state estimation. The model is derived at intervals from snapshots of real‑time analog and status measurements.
This paper discusses the state of the art in electric power system state estimation. Within energy management systems, state estimation is a key function for building a network real-time model. A real-time model is a quasi-static mathematical representation of the current conditions in an interconnected power network. This model is extracted at intervals from snapshots of real-time measurements (both analog and status). The new modeling needs associated with the introduction of new control devices and the changes induced by emerging energy markets are making state estimation and its related functions more important than ever.
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Robust Regression and Outlier Detection
Gregory F. Piepel, Peter J. Rousseeuw, Annick M. Leroy · Technometrics · 1989 · 6.2K citations