A Distributed State Estimation Approach to Condition Monitoring of Nonlinear Electric Power Systems

DOI10.1002/asjc.562zbMath1327.93374OpenAlexW1927664380WikidataQ59151370 ScholiaQ59151370MaRDI QIDQ3454347

Gerasimos G. Rigatos, Nicholas Zervos, Pierluigi Siano

Publication date: 24 November 2015

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.562

zbMATH Keywords

distributed state estimationcondition monitoringextended information filternonlinear electric power systemsunscented information filter

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Application models in control theory (93C95) Estimation and detection in stochastic control theory (93E10)

Related Items (4)

An Observer-Based Scheme for Decentralized Stabilization of Large-Scale Systems With Application to Power Systems ⋮ Weighted and Constrained Consensus for Distributed Power Dispatch of Scalable Microgrids ⋮ State estimation for stochastic time‐varying multisensor systems with multiplicative noises: Centralized and decentralized data fusion ⋮ A chaotic communication system of improved performance based on the Derivative-free nonlinear Kalman filter

Cites Work

• Fuzzy model validation using the local statistical approach
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• A new method for the nonlinear transformation of means and covariances in filters and estimators
• Decentralized sigma-point information filters for target tracking in collaborative sensor networks
• A derivative-free distributed filtering approach for sensorless control of nonlinear systems

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