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Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work

IEEE Transactions on Power Systems · 2019 · Vol. 34(4) · pp. 3188–3198
Junbo ZhaoJunjian QiZhenyu HuangA. P. Sakis MeliopoulosAntonio Gómez‐ExpósitoMarcos NettoLamine MiliAli AburVladimir TerzijaInnocent KamwaBikash C. PalAbhinav Kumar Singh

Abstract

This paper summarizes the technical activities of the Task Force on Power System Dynamic State and Parameter Estimation. This Task Force was established by the IEEE Working Group on State Estimation Algorithms to investigate the added benefits of dynamic state and parameter estimation for the enhancement of the reliability, security, and resilience of electric power systems. The motivations and engineering values of dynamic state estimation (DSE) are discussed in detail. Then, a set of potential applications that will rely on DSE is presented and discussed. Furthermore, a unified framework is proposed to clarify the important concepts related to DSE, forecasting-aided state estimation, tracking state estimation, and static state estimation. An overview of the current progress in DSE and dynamic parameter estimation is provided. The paper also provides future research needs and directions for the power engineering community.

Power System Optimization and StabilityEnergy Load and Power ForecastingPower System Reliability and MaintenanceElectric power systemEstimationReliability (semiconductor)State (computer science)Task (project management)Computer scienceReliability engineeringResilience (materials science)Work (physics)Industrial engineering

Funding

  • Office of Electricity Delivery and Energy Reliability
  • Engineering and Physical Sciences Research Council
  • Division of Electrical, Communications and Cyber Systems
Citations
682
FWCI
38.97
field-weighted impact
References
113
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100%
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References
Unscented Filtering and Nonlinear Estimation
Proceedings of the IEEE · 2004 · 6,392 citations
Synchronized Phasor Measurement Applications in Power Systems
IEEE Transactions on Smart Grid · 2010 · 1,046 citations
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
IEEE Transactions on Signal Processing · 2002 · 11,409 citations
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Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work · Scinovex